John C. Lipscomb

3.8k citations
74 papers · 2.9k · h-index 28

Impact in

Papers in

John C. Lipscomb

72 papers receiving 2.8k citations

Peers

John C. Lipscomb
Comparison fields: 5 of 145
  • Pharmacology 732
  • Health, Toxicology and Mutagenesis 1.2k
  • Cancer Research 727
  • Chemical Health and Safety 28
  • Small Animals 206
Replace Hugh A. Barton with:
Hugh A. Barton United States
H.B. Matthews United States
Stephen Nesnow United States
Penelope A. Fenner-Crisp United States
John P. Groten Netherlands
Jos Bessems Netherlands
Michael L. Gargas United States
Johan Högberg Sweden
Scott S. Auerbach United States
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John C. Lipscomb relative to Hugh A. Barton United States Hugh A. Barton's profile →
Citations per field
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Citations per year

Countries citing papers authored by John C. Lipscomb

Since Specialization
Citations

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

Fields of papers citing papers by John C. Lipscomb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Lipscomb. 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 John C. Lipscomb. The network helps show where John C. Lipscomb may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006350
2 2000221
3 2012174
4 2008141
5 2008138
6 2017110
7 2008105
8 2007104
9 200892
10 200076
11 199763
12 199861
13 202060
14 200454
15 200054
16 201050
17 200349
18 201249
19 200346
20 200846

About John C. Lipscomb

John C. Lipscomb is a scholar working on Health, Toxicology and Mutagenesis, Pharmacology, Cancer Research, Molecular Biology and Computational Theory and Mathematics, having authored 74 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (29 papers), Carcinogens and Genotoxicity Assessment (27 papers), Effects and risks of endocrine disrupting chemicals (17 papers), Toxic Organic Pollutants Impact (9 papers), Computational Drug Discovery Methods (7 papers), Water Treatment and Disinfection (6 papers), Animal testing and alternatives (6 papers) and Pharmaceutical studies and practices (5 papers). The work is most often cited by research in Pharmacology (732 citations), Health, Toxicology and Mutagenesis (1.2k citations), Cancer Research (727 citations), Chemical Health and Safety (28 citations) and Small Animals (206 citations). John C. Lipscomb has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include John Snawder, Jeffrey W. Fisher, Hugh A. Barton, Jean Parker, Lawrence H. Lash, Kannan Krishnan, Torka S. Poet, Zoe Barter, Amin Rostami‐Hodjegan and Weihsueh A. Chiu. Their work appears in journals such as Regulatory Toxicology and Pharmacology, Journal of Toxicology and Environmental Health, Toxicological Sciences, Drug Metabolism and Disposition and Risk Analysis.

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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