Matthew Eldridge
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Molecular Biology top 5%
- Protein Structure and Dynamics
- Genomics and Chromatin Dynamics
Papers in
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- Protein Structure and Dynamics 4
-
- Cancer Genomics and Diagnostics 10
- Co-authors
- Christopher W. Murray (5 shared papers)T.R. Auton (3 shared papers)Gaia V. Paolini (1 shared paper)Daan Frenkel (3 shared papers)P. A. Madden (3 shared papers)David R. Westhead (3 shared papers)David E. Clark (2 shared papers)Jason S. Carroll (2 shared papers)
- Journals
- Molecular Physics (4 papers)Nature (3 papers)Nature Genetics (2 papers)Nature Communications (2 papers)Proteins Structure Function and Bioinformatics (2 papers)
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Matthew Eldridge
34 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Computational Theory and Mathematics 1.0k
- Molecular Biology 2.1k
- Cancer Research 270
- Organic Chemistry 507
- Toxicology 57
Countries citing papers authored by Matthew Eldridge
This map shows the geographic impact of Matthew Eldridge'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 Matthew Eldridge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Eldridge more than expected).
Fields of papers citing papers by Matthew Eldridge
This network shows the impact of papers produced by Matthew Eldridge. 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 Matthew Eldridge. The network helps show where Matthew Eldridge may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Eldridge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes Hit paper breakdown → | 1997 | 1401 |
| 2 | 1998 | 300 | |
| 3 | 1993 | 277 | |
| 4 | 2010 | 216 | |
| 5 | 2011 | 152 | |
| 6 | 2019 | 124 | |
| 7 | 2017 | 111 | |
| 8 | 1998 | 101 | |
| 9 | 1993 | 85 | |
| 10 | 2018 | 84 | |
| 11 | 2020 | 77 | |
| 12 | 2000 | 71 | |
| 13 | 1995 | 67 | |
| 14 | 1997 | 66 | |
| 15 | 1993 | 51 | |
| 16 | 2019 | 43 | |
| 17 | 2011 | 36 | |
| 18 | 2015 | 24 | |
| 19 | 2017 | 19 | |
| 20 | 2014 | 18 |
About Matthew Eldridge
Matthew Eldridge is a scholar working on Molecular Biology, Cancer Research, Materials Chemistry, Oncology and Surgery, having authored 35 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (10 papers), Material Dynamics and Properties (5 papers), Phase Equilibria and Thermodynamics (5 papers), Esophageal Cancer Research and Treatment (5 papers), Computational Drug Discovery Methods (4 papers), Genetic factors in colorectal cancer (4 papers), Thermodynamic properties of mixtures (4 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Computational Theory and Mathematics (1.0k citations), Molecular Biology (2.1k citations), Cancer Research (270 citations), Organic Chemistry (507 citations) and Toxicology (57 citations). Matthew Eldridge has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Christopher W. Murray, T.R. Auton, Gaia V. Paolini, Daan Frenkel, P. A. Madden, David R. Westhead, David E. Clark, Jason S. Carroll, Sarah L. Vowler and Dominic Schmidt. Their work appears in journals such as Molecular Physics, Nature, Nature Genetics, Nature Communications and Proteins Structure Function and Bioinformatics.
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.