Daniel L. Combs

1.2k citations
34 papers · 985 · h-index 18

Impact in

  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
  • Pharmacology top 10%
    • Inflammatory mediators and NSAID effects
    • Pharmacogenetics and Drug Metabolism

Papers in

    • Avian ecology and behavior 5
    • Wildlife Ecology and Conservation 4
    • Rangeland and Wildlife Management 3

Daniel L. Combs

33 papers receiving 906 citations

Peers

Daniel L. Combs
Comparison fields: 5 of 120
  • Genetics 88
  • Pharmacology 128
  • Pharmacology 64
  • Pharmaceutical Science 41
  • Nature and Landscape Conservation 76
Replace Carla Viegas with:
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Dina C. Simes Portugal
Martin Sanders United States
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Citations per field
00.5×10×13.7×
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Citations per year

Countries citing papers authored by Daniel L. Combs

Since Specialization
Citations

This map shows the geographic impact of Daniel L. 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 Daniel L. Combs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel L. Combs more than expected).

Fields of papers citing papers by Daniel L. Combs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel L. 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 Daniel L. Combs. The network helps show where Daniel L. Combs may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel L. 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 Daniel L. Combs Line = papers co-authored together Daniel L. Combs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002227
2 1987123
3 200057
4 200253
5 197953
6 199645
7 198742
8 199633
9 200331
10 200330
11 200928
12 201628
13 202128
14 199525
15 202224
16 201024
17 200324
18 201219
19 202116
20 197913

About Daniel L. Combs

Daniel L. Combs is a scholar working on Ecology, Molecular Biology, Nature and Landscape Conservation, Pharmacology and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 985 indexed citations. Recurring topics across this work include Avian ecology and behavior (5 papers), Wildlife Ecology and Conservation (4 papers), Inflammatory mediators and NSAID effects (4 papers), Fish Ecology and Management Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Rangeland and Wildlife Management (3 papers), Species Distribution and Climate Change (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Genetics (88 citations), Pharmacology (128 citations), Pharmacology (64 citations), Pharmaceutical Science (41 citations) and Nature and Landscape Conservation (76 citations). Daniel L. Combs has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Stephen G. Ellis, Joo‐Hee Yi, Edward R. McCluskey, Timothy D. Henry, Brian H. Annex, John J. López, Thomas F. Zioncheck, Edward J. Mroszczak, Leigh H. Fredrickson and Anne Wu. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Blood, Journal of Wildlife Management, Journal of Pharmaceutical Sciences and The Journal of Clinical Pharmacology.

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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