Leighton Coates

110 papers receiving 3.0k citations

Hit Papers

Structural plasticity of SARS-CoV-2 3CL Mpro active site cavity revealed by room temperature X-ray crystallography 2020 · 338 citations
3382020202620222024100200300

Peers

Leighton Coates
Comparison fields: 5 of 119
  • Computational Theory and Mathematics 669
  • Infectious Diseases 574
  • Molecular Biology 1.8k
  • Radiation 221
  • Molecular Medicine 123
Replace Kevin L. Weiss with:
Kevin L. Weiss United States
Sam‐Yong Park Japan
Charles J. Eyermann United States
Guoming Xiong United States
Andrey Kovalevsky United States
Jacques‐Philippe Colletier France
Matthew P. Blakeley France
Scott Lovell United States
Mitsunori Ikeguchi Japan
William N. Hunter United Kingdom
Leighton Coates relative to Kevin L. Weiss United States Kevin L. Weiss's profile →
Citations per field
00.5×3.1×
Kevin L. Weiss · 1×
Citations per year

Countries citing papers authored by Leighton Coates

Since Specialization
Citations

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

Fields of papers citing papers by Leighton Coates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Leighton Coates, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Leighton Coates Line = papers co-authored together Leighton Coates links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202316
3 202224
4 20226
5 20223
6 202110
7 202126
8 202143
9 20202
10 20206
11 201929
12 201820
13 201832
14 20185
15 201717
16 20175
17 201615
18 201624
19 20156
20 201531

About Leighton Coates

Leighton Coates is a scholar working on Molecular Medicine, Radiation, Materials Chemistry, Molecular Biology and Biophysics, having authored 113 papers that have together received 3.0k indexed citations. Recurring topics across this work include Enzyme Structure and Function (60 papers), Protein Structure and Dynamics (34 papers), Nuclear Physics and Applications (14 papers), RNA and protein synthesis mechanisms (12 papers), Computational Drug Discovery Methods (12 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Biochemical and Molecular Research (10 papers) and Porphyrin Metabolism and Disorders (9 papers). The work is most often cited by research in Computational Theory and Mathematics (669 citations), Infectious Diseases (574 citations), Molecular Biology (1.8k citations), Radiation (221 citations) and Molecular Medicine (123 citations). Leighton Coates has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Andrey Kovalevsky, Kevin L. Weiss, Daniel W. Kneller, Paul Langan, P.T. Erskine, J.B. Cooper, G.N. Phillips, Hugh O’Neill, Steve Wood and Stephen J. Tomanicek. Their work appears in journals such as Acta Crystallographica Section D Structural Biology, Journal of Molecular Biology, Nature Communications, Journal of Medicinal Chemistry and 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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