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Molecular Communication and Nanonetworks

Molecular Communication and Nanonetworks is a research topic within Biomedical Engineering. Science Explorer counts 11k 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 nanonetworks and molecular communication, exploring topics such as diffusion-based communication, terahertz band communication, biological nanomachines, wireless nanosensor networks, channel modeling, drug delivery systems, body area nanonetworks, and bacteria-based communication.

  • Nanonetworks
  • Molecular Communication
  • Diffusion-Based Communication
  • Terahertz Band Communication
  • Biological Nanomachines
  • Wireless Nanosensor Networks
  • Channel Modeling
  • Drug Delivery Systems
  • Body Area Nanonetworks
  • Bacteria-based Communication
Research works
11k
fractional, since 1950
In the world top 10%
1.2k
per year above
Top-10% rate
10.2%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+32%
the tick is no change
Largest producer
China
34% of the 10 largest, 2022-now
Molecular Communication and Nanonetworks

Which countries lead Molecular Communication and Nanonetworks research?

By volume, China and India publish the most (918 and 556 works in 2022-now).

By volume, 2022-now

  1. 1 China 918 works
  2. 2 India 556 works
  3. 3 United States 483 works
  4. 4 Germany 167 works
  5. 5 United Kingdom 143 works
  6. 6 Japan 122 works
  7. 7 South Korea 106 works
  8. 8 Italy 98 works
  9. 9 France 74 works
  10. 10 Canada 71 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.

China: 33.5%India: 20.3%United States: 17.7%Germany: 6.1%6 others listed: 22.4%34%largest
China918 · 33.5%India556 · 20.3%United States483 · 17.7%Germany167 · 6.1%6 others listed614 · 22.4%

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

Which institutions lead Molecular Communication and Nanonetworks research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Molecular Communication and Nanonetworks research, followed by Centre National de la Recherche Scientifique and Southeast University.

Who are the leading researchers in Molecular Communication and Nanonetworks?

The most-cited researchers publishing on Molecular Communication and Nanonetworks include Zhong Lin Wang, Yury G. Gogotsi and Róbert Langer.

  1. 1 Zhong Lin Wang United States 491k citations
  2. 2 Yury G. Gogotsi United States 313k citations
  3. 3 Róbert Langer United States 303k citations
  4. 4 George M. Whitesides United States 267k citations
  5. 5 Wei Huang China 267k citations
  6. 6 Ben Zhong Tang China 261k citations
  7. 7 Kai You Wang China 224k citations
  8. 8 Eugene V. Koonin United States 217k citations
  9. 9 Lei Jiang China 214k 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 Molecular Communication and Nanonetworks?

The most cited paper in Molecular Communication and Nanonetworks is "Reconstituting Organ-Level Lung Functions on a Chip" (Dongeun Huh, Benjamin D. Matthews, Akiko Mammoto et al., 2010), with 4,252 citations. Next come "Active Particles in Complex and Crowded Environments" (3,049) and "Second window for in vivo imaging" (2,852).

Most cited papers
#PaperReleasedCitations
1 Reconstituting Organ-Level Lung Functions on a Chip Dongeun Huh, Benjamin D. Matthews, Akiko Mammoto et al. · Science Open access 24 Jun 2010 4,252
2 Active Particles in Complex and Crowded Environments Clemens Bechinger, Roberto Di Leonardo, Hartmut Löwen et al. · Reviews of Modern Physics Open access 23 Nov 2016 3,049
3 Second window for in vivo imaging Andrew M. Smith, Michael C. Mancini, Shuming Nie · Nature Nanotechnology Open access Nov 2009 2,852
4 The hydrodynamics of swimming microorganisms Eric Lauga, Thomas R. Powers · Reports on Progress in Physics Open access 25 Aug 2009 2,530
5 Chemotaxis in Escherichia coli analysed by Three-dimensional Tracking Howard C. Berg, Douglas A. Brown · Nature Oct 1972 2,296
All 100 most cited papers, with filters and sorting

Where is Molecular Communication and Nanonetworks research done?

The largest centres of Molecular Communication and Nanonetworks research in 2022-now are Beijing (China), Shanghai (China), Nanjing (China) and Guangzhou (China).

Largest cities, 2022-now

  1. 1 BeijingChina 156 works
  2. 2 ShanghaiChina 76 works
  3. 3 NanjingChina 68 works
  4. 4 GuangzhouChina 56 works
  5. 5 ChennaiIndia 50 works
  6. 6 SeoulSouth Korea 48 works
  7. 7 TokyoJapan 45 works
  8. 8 HangzhouChina 41 works
  9. 9 Xi'anChina 40 works
  10. 10 ChengduChina 37 works
See Molecular Communication and Nanonetworks on the map

Where is the best place to study Molecular Communication and Nanonetworks?

Among universities, judged by research, Harbin Institute of Technology, ETH Zurich and University of Science and Technology of China 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%mean 19.12%fractional works in this field (log) →share of work in the world top 10% →University of Scienc…ETH ZurichHarbin Institute of …Southeast 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
1Harbin Institute of TechnologyChina 67.317.9%3.7×19 +9.4%
2ETH ZurichSwitzerland 66.127.1%5.0×11 +43.8%
3University of Science and Technology of ChinaChina 64.735.5%3.1×12 +60.6%
4Southeast UniversityChina 60.510.2%5.1×24 +171.2%
5Islamic Azad University, TehranIran 59.833.2%2.4×13 +55.1%
6Shanghai Jiao Tong UniversityChina 58.916.8%2.2×20 +52.4%
7Beijing University of Posts and TelecommunicationsChina 56.810.9%9.9×20 +28.2%
8South China University of TechnologyChina 49.112.3%4.1×14 +153.4%
9King Abdullah University of Science and TechnologySaudi Arabia 48.511.1%11.7×10 +330.9%
10Zhejiang UniversityChina 46.816.2%1.6×14 +83.6%

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 Molecular Communication and Nanonetworks, country by country

Is Molecular Communication and Nanonetworks research growing?

Output in 2022-2025 was 32% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Molecular Communication and Nanonetworks.

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 Molecular Communication and Nanonetworks as a percentage of every work published that year, 0.017% in 2024.

still counting0.010%0.020%Molecular Communication and Nanonetworks0.017% in 202519801990200020102020

Fractional works of Molecular Communication and Nanonetworks 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%Molecular Communication and Nanonetworks10.2% 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.

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