Robert B. Russell
- Cancer Research top 0.5%
- Molecular Biology top 0.5%
- Protein Structure and Dynamics 41
- Machine Learning in Bioinformatics 20
- RNA and protein synthesis mechanisms 19
- Bioinformatics and Genomic Networks 15
- Genomics and Phylogenetic Studies 10
- Glycosylation and Glycoproteins Research 9
- Aging top 2%
- Structural Biology top 5%
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 6
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- Enzyme Structure and Function 28
- Co-authors
- Alexander StarkStephen M. CohenJulius BrenneckePatrick AloyGeoffrey J. BartonDavid R. HipfnerEvangelia PetsalakiVictor Neduva
- Journals
- Journal of Molecular Biology (8 papers)Protein Engineering Design and Selection (5 papers)FEBS Letters (5 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Robert B. Russell
93 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Cancer Research 2.3k
- Molecular Biology 8.1k
- Aging 123
- Structural Biology 64
- Computational Theory and Mathematics 659
Countries citing papers authored by Robert B. Russell
This map shows the geographic impact of Robert B. Russell'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 Robert B. Russell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert B. Russell more than expected).
Fields of papers citing papers by Robert B. Russell
This network shows the impact of papers produced by Robert B. Russell. 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 Robert B. Russell. The network helps show where Robert B. Russell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert B. Russell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 17 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 32 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 3 | |
| 7 | 2020 | 22 | |
| 8 | 2009 | 140 | |
| 9 | 2009 | 189 | |
| 10 | 2006 | 90 | |
| 11 | 2005 | 10 | |
| 12 | 2005 | 68 | |
| 13 | 2004 | 45 | |
| 14 | 2002 | 25 | |
| 15 | 2002 | 76 | |
| 16 | 1999 | 64 | |
| 17 | 1999 | 6 | |
| 18 | 1996 | 99 | |
| 19 | 1995 | 17 | |
| 20 | 1992 | 82 |
About Robert B. Russell
Robert B. Russell is a scholar working on Structural Biology, Molecular Biology and Virology, having authored 93 papers that have together received 9.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (41 papers), Enzyme Structure and Function (28 papers), Machine Learning in Bioinformatics (20 papers), RNA and protein synthesis mechanisms (19 papers), Bioinformatics and Genomic Networks (15 papers), Genomics and Phylogenetic Studies (10 papers), Glycosylation and Glycoproteins Research (9 papers) and Computational Drug Discovery Methods (6 papers). The work is most often cited by research in Cancer Research (2.3k citations), Molecular Biology (8.1k citations) and Aging (123 citations). Robert B. Russell has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Alexander Stark, Stephen M. Cohen, Julius Brennecke, Patrick Aloy, Geoffrey J. Barton, David R. Hipfner, Evangelia Petsalaki, Victor Neduva, Natascha Bushati and Chris P. Ponting. Their work appears in journals such as Journal of Molecular Biology, Protein Engineering Design and Selection, FEBS Letters, Current Opinion in Structural Biology 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.