Colin K. Combs

9.0k citations
101 papers · 7.4k indexed · 2 hit papers · h-index 46

Impact in

  • Neurology top 0.1%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments
    • Tryptophan and brain disorders

Papers in

Colin K. Combs

98 papers receiving 7.3k citations

Hit Papers

β-Amyloid Stimulation of Microglia and Monocytes Results in TNFα-Dependent Expression of Inducible Nitric Oxide Synthase and Neuronal Apoptosis 2001 · 617 citations
6172000202620082017200400600

Peers

Colin K. Combs
Comparison fields: 5 of 132
  • Neurology 2.8k
  • Biological Psychiatry 646
  • Physiology 3.0k
  • Developmental Neuroscience 464
  • Cellular and Molecular Neuroscience 1.7k
Replace Steven W. Barger with:
Steven W. Barger United States
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Luisa Minghetti Italy
Aiwu Cheng United States
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Markus P. Kummer Germany
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Colin K. Combs relative to Steven W. Barger United States Steven W. Barger's profile →
Citations per field
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Citations per year

Countries citing papers authored by Colin K. Combs

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Colin K. Combs Line = papers co-authored together Colin K. Combs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20254
2 20250
3 20250
4 20231
5 20238
6 20226
7 202147
8 202115
9 202032
10 201943
11 201997
12 201935
13 201719
14 201618
15 2013113
16 201258
17 201191
18 201195
19 200759
20 2006123

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.

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2026