Martyn Banks

37 papers receiving 1.6k citations

Hit Papers

Impact of high-throughput screening in biomedical research20112026201620212011250500750

Peers

Martyn Banks
Comparison fields: 5 of 127
  • Molecular Biology 1.0k
  • Computational Theory and Mathematics 431
  • Cellular and Molecular Neuroscience 266
  • Biomedical Engineering 254
  • Organic Chemistry 241
Replace Dejan Bojanic with:
Dejan Bojanic United States
G. Sitta Sittampalam United States
Adam Yasgar United States
S. Barret Kalindjian United Kingdom
Ricardo Macarrón United States
William P. Janzen United States
Ulrich Schopfer Switzerland
Nicola Tolliday United States
Brian Y. Feng United States
Tina Garyantes United States
Martyn Banks relative to Dejan Bojanic United States Dejan Bojanic's profile →
Citations per field
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Dejan Bojanic · 1×
Citations per year

Countries citing papers authored by Martyn Banks

Since Specialization
Citations

This map shows the geographic impact of Martyn Banks's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Martyn Banks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martyn Banks more than expected).

Fields of papers citing papers by Martyn Banks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martyn Banks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Martyn Banks. The network helps show where Martyn Banks may publish in the future.

Co-authorship network of co-authors of Martyn Banks

This figure shows the co-authorship network connecting the top 25 collaborators of Martyn Banks. A scholar is included among the top collaborators of Martyn Banks based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martyn Banks. Martyn Banks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 3
3 7
4 28
5 10
6 15
7 11
8
Impact of high-throughput screening in biomedical researchbreakdown →
920
9 5
10 5
11 32
12 19
13 3
14 17
15 23
16 27
17 62
18 2
19 49
20 15

About Martyn Banks

Martyn Banks is a scholar working on Biophysics, Immunology and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Neuropeptides and Animal Physiology (6 papers) and Computational Drug Discovery Methods (6 papers). The work is most often cited by research in Computational Theory and Mathematics (431 citations), Biophysics (98 citations) and Molecular Biology (1.0k citations). Martyn Banks has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Darren V. S. Green, Dragan A. Cirovic, Dejan Bojanic, William P. Janzen, Tina Garyantes, Ulrich Schopfer, G. Sitta Sittampalam, Jeff W. Paslay, David Burns and Robert Hertzberg. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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