William H. Martin

1.2k citations
24 papers · 1.0k indexed · h-index 14

William H. Martin

24 papers receiving 983 citations

Peers

William H. Martin
Comparison fields: 5 of 91
  • Cell Biology 337
  • Clinical Biochemistry 74
  • Physiology 241
  • Molecular Biology 621
  • Complementary and alternative medicine 62
Replace Peter Voß with:
Peter Voß Germany
Ryan Garrity United States
John M. Talent United States
Aaron T. Jacobs United States
Clint D.J. Tavares United States
Marina Villanueva‐Paz Spain
John Skoko United States
Yukio Nisimoto Japan
Lorenzo Lusini Italy
Inês C. M. Simões Poland
William H. Martin relative to Peter Voß Germany Peter Voß's profile →
Citations per field
00.5×4.4×
Peter Voß · 1×
Citations per year

Countries citing papers authored by William H. Martin

Since Specialization
Citations

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

Fields of papers citing papers by William H. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William H. Martin. 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 William H. Martin. The network helps show where William H. Martin may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20206
2 201924
3 201442
4 200513
5 200553
6 200422
7 2003200
8 200363
9 19996
10 19957
11 19947
12 1993186
13 19909
14
A comparison of rapid enzyme immunoassay tests for the detection of Chlamydia trachomatis cervical infections.
19907
15 19894
16 198720
17 19872
18 198665
19 198629
20 19773

About William H. Martin

William H. Martin is a scholar working on Cell Biology, Biochemistry, Toxicology, Molecular Biology and Physiology, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (3 papers), Retinoids in leukemia and cellular processes (3 papers), Chemical Synthesis and Analysis (2 papers), Mitochondrial Function and Pathology (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Computational Drug Discovery Methods (2 papers), Aldose Reductase and Taurine (2 papers) and Neonatal Health and Biochemistry (2 papers). The work is most often cited by research in Cell Biology (337 citations), Clinical Biochemistry (74 citations), Physiology (241 citations), Molecular Biology (621 citations) and Complementary and alternative medicine (62 citations). William H. Martin has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Keith Garlid, Andrew D. Beavis, Carl E. Creutz, Dennis M. Bier, G. P. Dalsky, Dwight E. Matthews, B. F. Hurley, D. S. King, James M. Hagberg and J. O. Holloszy. Their work appears in journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, SLAS DISCOVERY and American Journal of Physiology-Endocrinology and Metabolism.

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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