Neil Benson

2.8k citations
38 papers · 2.1k indexed · 1 hit paper · h-index 17
Topics
Computational Drug Discovery Methods (13 papers)Gene Regulatory Network Analysis (5 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)

In The Last Decade

Neil Benson

37 papers receiving 2.0k citations

Hit Papers

Oscillations in NF-κB Signaling Control the Dynamics of G...20042026201120182004250500750

Peers

Neil Benson
Comparison fields: 5 of 132
  • Molecular Biology 1.3k
  • Immunology 378
  • Cancer Research 311
  • Oncology 258
  • Computational Theory and Mathematics 229
Replace Marc Hafner with:
Marc Hafner United States
Yuri Nikolsky United States
Jerome T. Mettetal United States
Irene C. Blat United States
Curtis T. Keith United States
Jorrit J. Hornberg Netherlands
Grant R. Zimmermann United States
Stephan C. Schürer United States
Samik Ghosh Japan
Nehmé El-Hachem Canada
Neil Benson relative to Marc Hafner United States Marc Hafner's profile →
Citations per field
00.5×4.0×
Marc Hafner · 1×
Citations per year

Countries citing papers authored by Neil Benson

Since Specialization
Citations

This map shows the geographic impact of Neil Benson'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 Neil Benson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Benson more than expected).

Fields of papers citing papers by Neil Benson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil Benson. 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 Neil Benson. The network helps show where Neil Benson may publish in the future.

Co-authorship network of co-authors of Neil Benson

This figure shows the co-authorship network connecting the top 25 collaborators of Neil Benson. A scholar is included among the top collaborators of Neil Benson 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 Neil Benson. Neil Benson 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 70
2 10
3 2
4 174
5 7
6 10
7 22
8 10
9 14
10 10
11 28
12 16
13 9
14 13
15 109
16 31
17 49
18 41
19 3
20 76

About Neil Benson

Neil Benson is a scholar working on Computational Theory and Mathematics, Pharmacology and Statistics and Probability, having authored 38 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Gene Regulatory Network Analysis (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Cancer Research (311 citations), Biophysics (116 citations) and Molecular Biology (1.3k citations). Neil Benson has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Piet H. van der Graaf, Douglas B. Kell, Adaoha Ihekwaba, Rachel L. Grimley, D.S. Broomhead, Michael White, Malcolm C. Elliott, John Unitt, David E. Nelson and James R. Johnson. Their work appears in journals such as Science, Journal of Biological Chemistry and Analytical Biochemistry.

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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