James Cuff
- Molecular Biology top 0.5%
- Genomics and Phylogenetic Studies 4
- Protein Structure and Dynamics 3
- Glycosylation and Glycoproteins Research 2
- RNA and protein synthesis mechanisms 2
- Aging top 5%
- Genetics top 2%
- Cancer Research top 5%
- Developmental Neuroscience top 5%
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- Enzyme Structure and Function 4
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- Network Security and Intrusion Detection 2
- Software-Defined Networks and 5G 2
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- Scientific Computing and Data Management 2
- Co-authors
- Geoffrey J. BartonMichèle ClampStephen M. J. SearleBen FryEric S. LanderXiaohui XieDana J. HuebertMichael Kamal
- Cited by
- Molecular BiologyAgingGenetics
- Journals
- Bioinformatics (3 papers)Proteins Structure Function and Bioinformatics (2 papers)Journal of the American Medical Informatics Association (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
James Cuff
12 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Molecular Biology 6.5k
- Aging 75
- Genetics 1.1k
- Cancer Research 484
- Developmental Neuroscience 88
Countries citing papers authored by James Cuff
This map shows the geographic impact of James Cuff'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 James Cuff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Cuff more than expected).
Fields of papers citing papers by James Cuff
This network shows the impact of papers produced by James Cuff. 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 James Cuff. The network helps show where James Cuff may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James Cuff, 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 | 2020 | 2 | |
| 2 | 2017 | 7 | |
| 3 | 2017 | 8 | |
| 4 | 2016 | 7 | |
| 5 | 2007 | 404 | |
| 6 | A Bivalent Chromatin Structure Marks Key Developmental Genes in Embryonic Stem Cellsbreakdown → | 2006 | 4012 |
| 7 | The Jalview Java alignment editorbreakdown → | 2004 | 1273 |
| 8 | 2004 | 17 | |
| 9 | 2000 | 14 | |
| 10 | Application of multiple sequence alignment profiles to improve protein secondary structure predictionbreakdown → | 2000 | 639 |
| 11 | 1999 | 496 | |
| 12 | JPred: a consensus secondary structure prediction server.breakdown → | 1998 | 875 |
About James Cuff
James Cuff is a scholar working on Information Systems and Management, Software and Computer Networks and Communications, having authored 12 papers that have together received 7.8k indexed citations. Recurring topics across this work include Enzyme Structure and Function (4 papers), Genomics and Phylogenetic Studies (4 papers), Protein Structure and Dynamics (3 papers), Glycosylation and Glycoproteins Research (2 papers), Network Security and Intrusion Detection (2 papers), Software-Defined Networks and 5G (2 papers), RNA and protein synthesis mechanisms (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Molecular Biology (6.5k citations), Aging (75 citations) and Genetics (1.1k citations). James Cuff has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Geoffrey J. Barton, Michèle Clamp, Stephen M. J. Searle, Ben Fry, Eric S. Lander, Xiaohui Xie, Dana J. Huebert, Michael Kamal, Tarjei S. Mikkelsen and Robert Feil. Their work appears in journals such as Bioinformatics, Proteins Structure Function and Bioinformatics, Journal of the American Medical Informatics Association, Genome Research and Cell.
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.