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Topic · Oncology

Cutaneous Melanoma Detection and Management

Cutaneous Melanoma Detection and Management is a research topic within Oncology. Science Explorer counts 37k research works in it since 1950. 10.2% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the diagnosis, treatment, and epidemiology of melanoma, a type of skin cancer. It covers topics such as dermatologist-level classification, genetic alterations, sentinel lymph node biopsy, immunotherapy, tumor staging, deep learning for melanoma recognition, and survival analysis. The papers also discuss the epidemiological trends and risk factors associated with melanoma.

  • Melanoma
  • Dermoscopy
  • Skin Cancer
  • Sentinel Lymph Node Biopsy
  • Genetic Alterations
  • Immunotherapy
  • Tumor Staging
  • Deep Learning
  • Survival Analysis
  • Epidemiology
Research works
37k
fractional, since 1950
In the world top 10%
3.7k
per year above
Top-10% rate
10.2%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+50%
the tick is no change
Largest producer
United States
34% of the 10 largest, 2022-now
Cutaneous Melanoma Detection and Management

This ranks research output and citation impact. It says nothing about the quality of diagnosis, treatment or care.

Which countries lead Cutaneous Melanoma Detection and Management research?

By volume, the United States and India publish the most (2.5k and 1.5k works in 2022-now).

By volume, 2022-now

  1. 1 United States 2.5k works
  2. 2 India 1.5k works
  3. 3 China 964 works
  4. 4 United Kingdom 475 works
  5. 5 Italy 413 works
  6. 6 Germany 399 works
  7. 7 Australia 336 works
  8. 8 Spain 295 works
  9. 9 France 240 works
  10. 10 Brazil 211 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

United States: 34.1%India: 20.6%China: 13.1%United Kingdom: 6.4%6 others listed: 25.7%34%largest
United States2,513 · 34.1%India1,516 · 20.6%China964 · 13.1%United Kingdom475 · 6.4%6 others listed1,895 · 25.7%

Shares of the rows listed above, not of the whole node.

Which institutions lead Cutaneous Melanoma Detection and Management research?

By volume in 2022-now, Harvard University publishes the most Cutaneous Melanoma Detection and Management research, followed by The University of Sydney and Mayo Clinic.

By volume, 2022-now

  1. 1 Harvard UniversityUnited States 111 works
  2. 2 The University of SydneyAustralia 70 works
  3. 3 Mayo ClinicUnited States 67 works
  4. 4 SRM Institute of Science and TechnologyIndia 55 works
  5. 5 The University of QueenslandAustralia 50 works
  6. 6 Saveetha UniversityIndia 48 works
  7. 7 Memorial Sloan Kettering Cancer CenterUnited States 48 works
  8. 8 The University of Texas MD Anderson Cancer CenterUnited States 47 works
  9. 9 University of PennsylvaniaUnited States 43 works
  10. 10 Chandigarh UniversityIndia 41 works

Who are the leading researchers in Cutaneous Melanoma Detection and Management?

The most-cited researchers publishing on Cutaneous Melanoma Detection and Management include Ahmedin Jemal, Freddie Bray and Theo Vos.

  1. 1 Ahmedin Jemal United States 761k citations
  2. 2 Freddie Bray France 550k citations
  3. 3 Theo Vos United States 439k citations
  4. 4 Walter Churchill Willett United States 411k citations
  5. 5 Mark J. Daly United States 403k citations
  6. 6 Stacey L. Gabriel United States 402k citations
  7. 7 Gad A. Getz United States 364k citations
  8. 8 Jost Bruno Jonas Germany 350k citations
  9. 9 Hermann Brenner Germany 343k citations
  10. 10 Isabelle Soerjomataram France 327k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Cutaneous Melanoma Detection and Management?

The most cited paper in Cutaneous Melanoma Detection and Management is "Dermatologist-level classification of skin cancer with deep neural networks" (Andre Esteva, Brett Kuprel, Roberto A. Novoa et al., 2017), with 14,423 citations. Next come "Tumor Angiogenesis: Therapeutic Implications" (10,238) and "Improved Survival with Vemurafenib in Melanoma with BRAF V600E Mutation" (7,801).

Most cited papers
#PaperReleasedCitations
1 Dermatologist-level classification of skin cancer with deep neural networks Andre Esteva, Brett Kuprel, Roberto A. Novoa et al. · Nature Open access 25 Jan 2017 14,423
2 Tumor Angiogenesis: Therapeutic Implications Louis M. Sherwood, Edith E. Parris, Judah Folkman · New England Journal of Medicine 18 Nov 1971 10,238
3 Improved Survival with Vemurafenib in Melanoma with BRAF V600E Mutation Paul B. Chapman et al. · New England Journal of Medicine Open access 5 Jun 2011 7,801
4 Pembrolizumab versus Ipilimumab in Advanced Melanoma Caroline Robert et al. · New England Journal of Medicine Open access 19 Apr 2015 5,968
5 Overall Survival with Combined Nivolumab and Ipilimumab in Advanced Melanoma Jedd D. Wolchok et al. · New England Journal of Medicine Open access 11 Sep 2017 5,453
All 100 most cited papers, with filters and sorting

Where is Cutaneous Melanoma Detection and Management research done?

The largest centres of Cutaneous Melanoma Detection and Management research in 2022-now are Chennai (India), New York (United States), London (United Kingdom) and Beijing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Omaha and Vijayawada.

Largest cities, 2022-now

  1. 1 ChennaiIndia 216 works
  2. 2 New YorkUnited States 159 works
  3. 3 LondonUnited Kingdom 132 works
  4. 4 BeijingChina 118 works
  5. 5 SydneyAustralia 113 works
  6. 6 BostonUnited States 99 works
  7. 7 PhiladelphiaUnited States 95 works
  8. 8 ShanghaiChina 91 works
  9. 9 BrisbaneAustralia 77 works
  10. 10 HoustonUnited States 77 works

Where it is the local speciality

  1. OmahaUS · 35.3 works7.0×
  2. VijayawadaIN · 30.1 works6.4×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Cutaneous Melanoma Detection and Management than the world average.

See Cutaneous Melanoma Detection and Management on the map

Where is the best place to study Cutaneous Melanoma Detection and Management?

Among universities, judged by research, Harvard University, The University of Sydney and Princess Nourah bint Abdulrahman University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%60%mean 16.44%fractional works in this field (log) →share of work in the world top 10% →Princess Nourah bint…The University of Sy…The University of Qu…Harvard University
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Harvard UniversityUnited States 63.112.2%3.8×111 +15.0%
2The University of SydneyAustralia 62.115.7%6.2×70 +25.2%
3Princess Nourah bint Abdulrahman UniversitySaudi Arabia 61.649.5%3.5×8 -
4The University of QueenslandAustralia 55.312.4%5.8×50 +40.8%
5Stanford UniversityUnited States 50.416.1%2.8×38 +59.1%
6Vellore Institute of Technology UniversityIndia 49.916.1%4.3×39 +252.6%
7Saveetha UniversityIndia 49.810.6%5.4×48 +1763.2%
8Chandigarh UniversityIndia 48.811.4%8.1×40 +1556.6%
9SRM Institute of Science and TechnologyIndia 48.37.1%5.9×56 +1313.3%
10Chitkara UniversityIndia 46.513.3%11.1×39 -

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Cutaneous Melanoma Detection and Management, country by country

Is Cutaneous Melanoma Detection and Management research growing?

Output in 2022-2025 was 50% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Cutaneous Melanoma Detection and Management.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Cutaneous Melanoma Detection and Management as a percentage of every work published that year, 0.046% in 2024.

still counting0.020%0.040%0.060%Cutaneous Melanoma Detection and Management0.051% in 202519801990200020102020

Fractional works of Cutaneous Melanoma Detection and Management over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Cutaneous Melanoma Detection and Management10.0% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.

Questions people ask

Which institutions lead melanoma research?

By volume in 2022-now, Harvard University publishes the most Cutaneous Melanoma Detection and Management research, followed by The University of Sydney and Mayo Clinic.

Which institutions lead Cutaneous Melanoma Detection and Management research?
All 1,273 questions in the Question Catalogue

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