Dennis D. Taub
- Immunology top 0.1%
- Molecular Biology top 1%
- Oncology top 0.5%
- Physiology top 0.5%
- Epidemiology top 1%
- Co-authors
- Dan L. LongoWilliam J. MurphyJoost J. OppenheimVishwa Deep DixitJames W. LillardAndrew R. LloydGary D. CollinsDavid J. Kelvin
- Topics
- Immune Cell Function and Interaction (54 papers)T-cell and B-cell Immunology (48 papers)Chemokine receptors and signaling (43 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Dennis D. Taub
231 papers receiving 17.6k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Immunology 7.5k
- Molecular Biology 4.5k
- Oncology 3.8k
- Physiology 2.7k
- Epidemiology 2.3k
Countries citing papers authored by Dennis D. Taub
This map shows the geographic impact of Dennis D. Taub'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 Dennis D. Taub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dennis D. Taub more than expected).
Fields of papers citing papers by Dennis D. Taub
This network shows the impact of papers produced by Dennis D. Taub. 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 Dennis D. Taub. The network helps show where Dennis D. Taub may publish in the future.
Co-authorship network of co-authors of Dennis D. Taub
This figure shows the co-authorship network connecting the top 25 collaborators of Dennis D. Taub. A scholar is included among the top collaborators of Dennis D. Taub based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dennis D. Taub. Dennis D. Taub is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 21 | |
| 3 | 2 | |
| 4 | Relationship between Plasma Ghrelin, Insulin, Leptin, IL6, Adiponectin, Testosterone and Longevity in the Baltimore Longitudinal Study of Aging | 16 |
| 5 | 58 | |
| 6 | 45 | |
| 7 | 164 | |
| 8 | 294 | |
| 9 | 79 | |
| 10 | 58 | |
| 11 | 33 | |
| 12 | Ghrelin inhibits leptin- and activation-induced proinflammatory cytokine expression by human monocytes and T cellsbreakdown → | 672 |
| 13 | 2 | |
| 14 | 123 | |
| 15 | 173 | |
| 16 | 6 | |
| 17 | 26 | |
| 18 | 7 | |
| 19 | 95 | |
| 20 | 82 |
About Dennis D. Taub
Dennis D. Taub is a scholar working on Immunology, Immunology and Allergy and Endocrine and Autonomic Systems, having authored 235 papers that have together received 17.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (54 papers), T-cell and B-cell Immunology (48 papers) and Chemokine receptors and signaling (43 papers). The work is most often cited by research in Immunology (7.5k citations), Virology (1.4k citations) and Endocrine and Autonomic Systems (1.8k citations). Dennis D. Taub has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Dan L. Longo, William J. Murphy, Joost J. Oppenheim, Vishwa Deep Dixit, James W. Lillard, Andrew R. Lloyd, Gary D. Collins, David J. Kelvin, Dzung Nguyen and Robert Pyle. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.
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.