Daniel J. Kao
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Gastroenterology top 10%
- Gastrointestinal motility and disorders
Papers in
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- Tryptophan and brain disorders 3
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- Adenosine and Purinergic Signaling 4
- Co-authors
- Sean P. ColganJordi M. LanisErica E. AlexeevEric L. CampbellKayla D. BattistaMark E. GerichDouglas J. KominskyCaleb Kelly
- Journals
- PM&R (3 papers)The FASEB Journal (3 papers)Molecular Biology of the Cell (2 papers)iScience (1 paper)Journal of Structural Biology (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Daniel J. Kao
28 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Biological Psychiatry 170
- Gastroenterology 57
- Molecular Biology 689
- Behavioral Neuroscience 32
- Immunology 172
Countries citing papers authored by Daniel J. Kao
This map shows the geographic impact of Daniel J. Kao'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 J. Kao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Kao more than expected).
Fields of papers citing papers by Daniel J. Kao
This network shows the impact of papers produced by Daniel J. Kao. 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 J. Kao. The network helps show where Daniel J. Kao may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Kao, 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 | 2025 | 0 | |
| 2 | 2020 | 9 | |
| 3 | 2020 | 61 | |
| 4 | 2018 | 15 | |
| 5 | Microbiota-Derived Indole Metabolites Promote Human and Murine Intestinal Homeostasis through Regulation of Interleukin-10 Receptor Hit paper breakdown → | 2018 | 391 |
| 6 | 2017 | 25 | |
| 7 | 2017 | 152 | |
| 8 | 2017 | 17 | |
| 9 | 2017 | 7 | |
| 10 | 2016 | 2 | |
| 11 | 2016 | 1 | |
| 12 | 2016 | 1 | |
| 13 | 2016 | 1 | |
| 14 | 2016 | 4 | |
| 15 | 2009 | 49 | |
| 16 | Common MFRP sequence variants are not associated with moderate to high hyperopia, isolated microphthalmia, and high myopia. | 2008 | 11 |
| 17 | 2006 | 28 | |
| 18 | Peptide Based Nanoparticles as a Platform for Vaccine Design | 2005 | 1 |
| 19 | 2004 | 13 | |
| 20 | 2001 | 10 |
About Daniel J. Kao
Daniel J. Kao is a scholar working on Biological Psychiatry, Physiology, Molecular Medicine, Transplantation and Immunology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gut microbiota and health (8 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Inflammatory Bowel Disease (4 papers), Adenosine and Purinergic Signaling (4 papers), Immune cells in cancer (4 papers), Tryptophan and brain disorders (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Biological Psychiatry (170 citations), Gastroenterology (57 citations), Molecular Biology (689 citations), Behavioral Neuroscience (32 citations) and Immunology (172 citations). Daniel J. Kao has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Sean P. Colgan, Jordi M. Lanis, Erica E. Alexeev, Eric L. Campbell, Kayla D. Battista, Mark E. Gerich, Douglas J. Kominsky, Caleb Kelly, Robert S. Hodges and Brittany R. Jenkins. Their work appears in journals such as PM&R, The FASEB Journal, Molecular Biology of the Cell, iScience and Journal of Structural Biology.
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.