John E. Allen
Impact in
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
- Human-Computer Interaction top 10%
Papers in
-
- Ubiquitin and proteasome pathways 1
- Gene expression and cancer classification 1
- Protein Degradation and Inhibitors 1
-
- Speech and dialogue systems 2
- Multi-Agent Systems and Negotiation 2
- Co-authors
- Curry Guinn (1 shared paper)Gavin MacBeath (5 shared papers)Michael A. Stiffler (3 shared papers)Ying Lei (1 shared paper)Viara Grantcharova (1 shared paper)Mark L. Eberhard (1 shared paper)Mary Wilson (1 shared paper)Ethan S. Karp (1 shared paper)
- Journals
- Nature Protocols (1 paper)Clinical Infectious Diseases (1 paper)Biochemical and Biophysical Research Communications (1 paper)Nature Biotechnology (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
John E. Allen
14 papers receiving 925 citations
Peers
Comparison fields: 5 of 125
- Cell Biology 143
- Human-Computer Interaction 50
- Molecular Biology 483
- Artificial Intelligence 170
- Social Psychology 95
Countries citing papers authored by John E. Allen
This map shows the geographic impact of John E. Allen'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 John E. Allen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. Allen more than expected).
Fields of papers citing papers by John E. Allen
This network shows the impact of papers produced by John E. Allen. 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 John E. Allen. The network helps show where John E. Allen may publish in the future.
Co-authors
The 25 scholars most cited alongside John E. Allen, 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 | 2007 | 316 | |
| 2 | 1999 | 315 | |
| 3 | 2008 | 116 | |
| 4 | 2010 | 64 | |
| 5 | 2001 | 42 | |
| 6 | 2007 | 37 | |
| 7 | 2017 | 33 | |
| 8 | 2014 | 15 | |
| 9 | 2007 | 8 | |
| 10 | 2006 | 8 | |
| 11 | 1964 | 7 | |
| 12 | 2005 | 2 | |
| 13 | Caring for Julie. | 1988 | 2 |
| 14 | Fluid areas of the verb in modern written Russian : a study in computational linguistics | 1969 | 1 |
About John E. Allen
John E. Allen is a scholar working on Molecular Biology, Artificial Intelligence, Cell Biology, Spectroscopy and Organic Chemistry, having authored 14 papers that have together received 966 indexed citations. Recurring topics across this work include Speech and dialogue systems (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Multi-Agent Systems and Negotiation (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Ubiquitin and proteasome pathways (1 paper), Gene expression and cancer classification (1 paper), Protein Degradation and Inhibitors (1 paper) and Vibrio bacteria research studies (1 paper). The work is most often cited by research in Cell Biology (143 citations), Human-Computer Interaction (50 citations), Molecular Biology (483 citations), Artificial Intelligence (170 citations) and Social Psychology (95 citations). John E. Allen has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Curry Guinn, Gavin MacBeath, Michael A. Stiffler, Ying Lei, Viara Grantcharova, Mark L. Eberhard, Mary Wilson, Ethan S. Karp, Alexis Kaushansky and Andrew Gordus. Their work appears in journals such as Nature Protocols, Clinical Infectious Diseases, Biochemical and Biophysical Research Communications, Nature Biotechnology 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.