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Topic · Spectroscopy

Molecular Sensors and Ion Detection

Molecular Sensors and Ion Detection is a research topic within Spectroscopy. Science Explorer counts 51k research works in it since 1950. 20.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the development and application of fluorescent chemosensors for the detection of various ions, including anions and metal ions, as well as their use in bioimaging. The papers cover topics such as anion recognition, reactive oxygen species detection, molecular sensors, and supramolecular chemistry. Additionally, there is a specific emphasis on the role of fluorescent chemosensors in studying neurodegenerative diseases.

  • Fluorescent Chemosensors
  • Ion Detection
  • Bioimaging
  • Anion Recognition
  • Metal Ions
  • Fluorescent Probes
  • Reactive Oxygen Species
  • Molecular Sensors
  • Supramolecular Chemistry
  • Neurodegenerative Diseases
Research works
51k
fractional, since 1950
In the world top 10%
11k
per year above
Top-10% rate
20.9%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+22%
the tick is no change

Which countries lead Molecular Sensors and Ion Detection research?

By volume, China and India publish the most (4.4k and 1.3k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 4.4k works
  2. 2 India 1.3k works
  3. 3 United States 409 works
  4. 4 Japan 262 works
  5. 5 Russia 214 works
  6. 6 South Korea 171 works
  7. 7 Türkiye 168 works
  8. 8 Iran 157 works
  9. 9 France 134 works
  10. 10 Germany 127 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: 59.9%India: 17.8%United States: 5.6%Japan: 3.6%6 others listed: 13.2%60%largest
China4,414 · 59.9%India1,308 · 17.8%United States409 · 5.6%Japan262 · 3.6%6 others listed970 · 13.2%

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

Which institutions lead Molecular Sensors and Ion Detection research?

By volume in 2022–2025, Chinese Academy of Sciences publishes the most Molecular Sensors and Ion Detection research, followed by Jilin University and Nankai University.

Who are the leading researchers in Molecular Sensors and Ion Detection?

The most-cited researchers publishing on Molecular Sensors and Ion Detection include Ben Zhong Tang, Peter A. Kollman and Judith A. K. Howard.

  1. 1 Ben Zhong Tang Hong Kong 7k citations
  2. 2 Peter A. Kollman United States 6.3k citations
  3. 3 Judith A. K. Howard United Kingdom 5.5k citations
  4. 4 Wei Huang China 5.5k citations
  5. 5 Chad A. Mirkin United States 4.6k citations

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

Where is Molecular Sensors and Ion Detection research done?

The largest centres of Molecular Sensors and Ion Detection research in 2022–2025 are Beijing (China), Shanghai (China), Nanjing (China) and Jinan (China). Among places with at least 20 works in it, it is an unusually large share of all research in Ivanovo.

Largest cities, 2022–2025

  1. 1 Beijing China 438 works
  2. 2 Shanghai China 230 works
  3. 3 Nanjing China 211 works
  4. 4 Jinan China 180 works
  5. 5 Guangzhou China 142 works
  6. 6 Tianjin China 142 works
  7. 7 Wuhan China 129 works
  8. 8 Xi'an China 127 works
  9. 9 Lanzhou China 107 works
  10. 10 Hangzhou China 107 works

Where it is the local speciality

  1. IvanovoRU · 25.8 works32×
← less than its size predictsmore →

Location quotient: how much more of its research is in Molecular Sensors and Ion Detection than the world average.

See Molecular Sensors and Ion Detection on the map

Where is the best place to study Molecular Sensors and Ion Detection?

Among universities, judged by research, Lanzhou Jiaotong University, Nanjing Forestry University and Shanxi 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%mean 35.75%fractional works in this node (log) →share in the world top 10% →Lanzhou Jiaotong University: 30, 45.3%Nanjing Forestry University: 41, 30.0%Shanxi University: 40, 37.7%University of Jinan: 46, 23.5%Birla Institute of Technology and Science - Hyderabad Campus: 23, 41.2%China Pharmaceutical University: 21, 29.6%Henan University: 28, 36.8%Henan Normal University: 23, 41.6%Qufu Normal University: 18, 29.2%China West Normal University: 19, 42.6%Lanzhou Jiaotong Uni…Shanxi UniversityNanjing Forestry Uni…University of Jinan
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Lanzhou Jiaotong UniversityChina 82.345.3%14.7×30 +656.8%
2 Nanjing Forestry UniversityChina 77.230.0%10.7×41 +355.8%
3 Shanxi UniversityChina 74.837.7%18.1×40 +89.6%
4 University of JinanChina 72.923.5%18.6×46 +363.9%
5 Birla Institute of Technology and Science - Hyderabad CampusIndia 69.941.2%22.0×23
6 China Pharmaceutical UniversityChina 69.729.6%11.9×21 +371.1%
7 Henan UniversityChina 68.936.8%9.7×28 +71.1%
8 Henan Normal UniversityChina 68.341.6%13.2×23 +31.7%
9 Qufu Normal UniversityChina 67.729.2%12.3×18 +912.6%
10 China West Normal UniversityChina 67.342.6%19.6×19 +42.8%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Molecular Sensors and Ion Detection research growing?

Output in 2018–2022 was 22% higher than in 2013–2017, peaking in 2024. The fastest-growing topics are Molecular Sensors and Ion Detection.

19801990200020102020
grewheldshrank

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

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.