Eric D. Scheeff
Impact in
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- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Protein Kinase Regulation and GTPase Signaling
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Cell Biology top 10%
Papers in
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- Protein Structure and Dynamics 4
- Genomics and Phylogenetic Studies 3
- DNA Repair Mechanisms 2
- DNA and Nucleic Acid Chemistry 2
- Protein Kinase Regulation and GTPase Signaling 2
- Glycosylation and Glycoproteins Research 1
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- Enzyme Structure and Function 4
- Co-authors
- Philip E. Bourne (7 shared papers)Stephen B. Howell (2 shared papers)James M. Briggs (2 shared papers)Gerard Manning (3 shared papers)Chittibabu Guda (2 shared papers)Ilya N. Shindyalov (2 shared papers)Jeyanthy Eswaran (1 shared paper)G. Bunkóczi (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)Molecular Pharmacology (2 papers)Bioinformatics (1 paper)Methods of biochemical analysis (1 paper)Proteins Structure Function and Bioinformatics (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Eric D. Scheeff
13 papers receiving 819 citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 589
- Cell Biology 107
- Oncology 117
- Computational Theory and Mathematics 48
- Materials Chemistry 121
Countries citing papers authored by Eric D. Scheeff
This map shows the geographic impact of Eric D. Scheeff'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 Eric D. Scheeff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric D. Scheeff more than expected).
Fields of papers citing papers by Eric D. Scheeff
This network shows the impact of papers produced by Eric D. Scheeff. 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 Eric D. Scheeff. The network helps show where Eric D. Scheeff may publish in the future.
Co-authors
The 24 scholars most cited alongside Eric D. Scheeff, 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 | 2005 | 218 | |
| 2 | 2009 | 155 | |
| 3 | Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology | 2000 | 120 |
| 4 | 1999 | 117 | |
| 5 | 2004 | 97 | |
| 6 | 2000 | 50 | |
| 7 | 2003 | 15 | |
| 8 | 2009 | 14 | |
| 9 | 2005 | 14 | |
| 10 | 2006 | 11 | |
| 11 | 2007 | 10 | |
| 12 | 2010 | 9 | |
| 13 | 1999 | 2 |
About Eric D. Scheeff
Eric D. Scheeff is a scholar working on Molecular Biology, Materials Chemistry, Cell Biology, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 832 indexed citations. Recurring topics across this work include Enzyme Structure and Function (4 papers), Protein Structure and Dynamics (4 papers), Genomics and Phylogenetic Studies (3 papers), DNA Repair Mechanisms (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Cellular transport and secretion (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Molecular Biology (589 citations), Cell Biology (107 citations), Oncology (117 citations), Computational Theory and Mathematics (48 citations) and Materials Chemistry (121 citations). Eric D. Scheeff has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Philip E. Bourne, Stephen B. Howell, James M. Briggs, Gerard Manning, Chittibabu Guda, Ilya N. Shindyalov, Jeyanthy Eswaran, G. Bunkóczi, Stefan Knapp and Shan Lu. Their work appears in journals such as PLoS Computational Biology, Molecular Pharmacology, Bioinformatics, Methods of biochemical analysis 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.