Colin K. Combs
Impact in
- Neurology top 0.1%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
- Biological Psychiatry top 0.5%
- Tryptophan and brain disorders
Papers in
- Neurology 35
- Neuroinflammation and Neurodegeneration Mechanisms 35
- Parkinson's Disease Mechanisms and Treatments 9
- Co-authors
- Gary E. LandrethAngela M. FlodenJ. Colleen KarloKendra L. PuigSteven B. CannadyJerry SilverCatherine DollerMichael T. Fitch
- Journals
- Journal of Neuroscience (12 papers)Journal of Neuroinflammation (6 papers)Journal of Neurochemistry (6 papers)Neurobiology of Aging (6 papers)Journal of Alzheimer s Disease (6 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Colin K. Combs
98 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Neurology 2.8k
- Biological Psychiatry 646
- Physiology 3.0k
- Developmental Neuroscience 464
- Cellular and Molecular Neuroscience 1.7k
Countries citing papers authored by Colin K. Combs
This map shows the geographic impact of Colin K. Combs'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 Colin K. Combs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colin K. Combs more than expected).
Fields of papers citing papers by Colin K. Combs
This network shows the impact of papers produced by Colin K. Combs. 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 Colin K. Combs. The network helps show where Colin K. Combs may publish in the future.
Co-authors
The 25 scholars most cited alongside Colin K. Combs, 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 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 47 | |
| 8 | 2021 | 15 | |
| 9 | 2020 | 32 | |
| 10 | 2019 | 43 | |
| 11 | 2019 | 97 | |
| 12 | 2019 | 35 | |
| 13 | 2017 | 19 | |
| 14 | 2016 | 18 | |
| 15 | 2013 | 113 | |
| 16 | 2012 | 58 | |
| 17 | 2011 | 91 | |
| 18 | 2011 | 95 | |
| 19 | 2007 | 59 | |
| 20 | 2006 | 123 |
About Colin K. Combs
Colin K. Combs is a scholar working on Neurology, Biological Psychiatry, Physiology, Clinical Biochemistry and Cellular and Molecular Neuroscience, having authored 101 papers that have together received 7.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (40 papers), Neuroinflammation and Neurodegeneration Mechanisms (35 papers), Parkinson's Disease Mechanisms and Treatments (9 papers), Immune cells in cancer (7 papers), Advanced Glycation End Products research (7 papers), Gut microbiota and health (6 papers), Drug Transport and Resistance Mechanisms (6 papers) and Carbon and Quantum Dots Applications (6 papers). The work is most often cited by research in Neurology (2.8k citations), Biological Psychiatry (646 citations), Physiology (3.0k citations), Developmental Neuroscience (464 citations) and Cellular and Molecular Neuroscience (1.7k citations). Colin K. Combs has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Gary E. Landreth, Angela M. Floden, J. Colleen Karlo, Kendra L. Puig, Steven B. Cannady, Jerry Silver, Catherine Doller, Michael T. Fitch, Shih-Chu Kao and Kumi Nagamoto‐Combs. Their work appears in journals such as Journal of Neuroscience, Journal of Neuroinflammation, Journal of Neurochemistry, Neurobiology of Aging and Journal of Alzheimer s Disease.
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.