Daniel Kahn
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 5%
- Reproductive System and Pregnancy
- Immune Cell Function and Interaction
Papers in
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- Reproductive System and Pregnancy 6
- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 2
- Invertebrate Immune Response Mechanisms 1
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- Pregnancy and Medication Impact 3
- Co-authors
- David Baltimore (3 shared papers)Ryan M. O’Connell (1 shared paper)Melissa Kahn (1 shared paper)Rebecca Scholz (1 shared paper)Dinesh S. Rao (1 shared paper)June L. Round (1 shared paper)Aadel A. Chaudhuri (1 shared paper)William S. Gibson (1 shared paper)
- Journals
- PLoS ONE (2 papers)American Journal of Reproductive Immunology (2 papers)American Journal of Obstetrics and Gynecology (1 paper)Proceedings of the National Academy of Sciences (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel Kahn
10 papers receiving 1.1k citations
Daniel Kahn's Hit Papers
Peers
Comparison fields: 5 of 83
- Cancer Research 426
- Immunology 495
- Obstetrics and Gynecology 121
- Molecular Biology 382
- Neurology 37
Countries citing papers authored by Daniel Kahn
This map shows the geographic impact of Daniel Kahn'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 Daniel Kahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kahn more than expected).
Fields of papers citing papers by Daniel Kahn
This network shows the impact of papers produced by Daniel Kahn. 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 Daniel Kahn. The network helps show where Daniel Kahn may publish in the future.
Co-authors
The 16 scholars most cited alongside Daniel Kahn, 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 | MicroRNA-155 Promotes Autoimmune Inflammation by Enhancing Inflammatory T Cell Development Hit paper breakdown → | 2010 | 752 |
| 2 | 2010 | 197 | |
| 3 | 2014 | 48 | |
| 4 | 2015 | 28 | |
| 5 | 2017 | 26 | |
| 6 | 2010 | 18 | |
| 7 | 2000 | 9 | |
| 8 | 2014 | 5 | |
| 9 | 2018 | 2 | |
| 10 | 2014 | 1 |
About Daniel Kahn
Daniel Kahn is a scholar working on Immunology, Public Health, Environmental and Occupational Health, Molecular Biology, Obstetrics and Gynecology and Cancer Research, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (6 papers), Immune Cell Function and Interaction (4 papers), Pregnancy and Medication Impact (3 papers), T-cell and B-cell Immunology (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Extracellular vesicles in disease (1 paper), Pregnancy and preeclampsia studies (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Cancer Research (426 citations), Immunology (495 citations), Obstetrics and Gynecology (121 citations), Molecular Biology (382 citations) and Neurology (37 citations). Daniel Kahn has collaborated with scholars based in United States. Frequent co-authors include David Baltimore, Ryan M. O’Connell, Melissa Kahn, Rebecca Scholz, Dinesh S. Rao, June L. Round, Aadel A. Chaudhuri, William S. Gibson, Andrea Loewendorf and Tina Nguyen. Their work appears in journals such as PLoS ONE, American Journal of Reproductive Immunology, American Journal of Obstetrics and Gynecology, Proceedings of the National Academy of Sciences and The Journal of Immunology.
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.