John E. Allen
Impact in
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
- Human-Computer Interaction top 10%
Papers in
-
- Protein Degradation and Inhibitors 1
- Metabolism, Diabetes, and Cancer 1
-
- Speech and dialogue systems 2
- Multi-Agent Systems and Negotiation 2
- Natural Language Processing Techniques 1
- Co-authors
- Curry Guinn (1 shared paper)Gavin MacBeath (5 shared papers)Michael A. Stiffler (3 shared papers)Viara Grantcharova (1 shared paper)Ying Lei (1 shared paper)Mark L. Eberhard (1 shared paper)Mary Wilson (1 shared paper)Alexis Kaushansky (1 shared paper)
- Journals
- Clinical Infectious Diseases (1 paper)Nature Biotechnology (1 paper)American Behavioral Scientist (1 paper)Journal of Biological Chemistry (1 paper)Science (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
John E. Allen
14 papers receiving 848 citations
Peers
Comparison fields: 5 of 125
- Cell Biology 139
- Human-Computer Interaction 46
- Molecular Biology 507
- Artificial Intelligence 136
- Social Psychology 77
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 | 307 | |
| 2 | 1999 | 258 | |
| 3 | 2008 | 115 | |
| 4 | 2010 | 62 | |
| 5 | 2001 | 38 | |
| 6 | 2007 | 33 | |
| 7 | 2017 | 31 | |
| 8 | 2014 | 14 | |
| 9 | 2006 | 7 | |
| 10 | 2007 | 7 | |
| 11 | 1964 | 6 | |
| 12 | Caring for Julie. | 1988 | 2 |
| 13 | 2005 | 1 | |
| 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 882 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), Invertebrate Immune Response Mechanisms (1 paper), Protein Degradation and Inhibitors (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Computational Drug Discovery Methods (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Cell Biology (139 citations), Human-Computer Interaction (46 citations), Molecular Biology (507 citations), Artificial Intelligence (136 citations) and Social Psychology (77 citations). John E. Allen has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Curry Guinn, Gavin MacBeath, Michael A. Stiffler, Viara Grantcharova, Ying Lei, Mark L. Eberhard, Mary Wilson, Alexis Kaushansky, Ethan S. Karp and Andrew Gordus. Their work appears in journals such as Clinical Infectious Diseases, Nature Biotechnology, American Behavioral Scientist, Journal of Biological Chemistry and Science.
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.