John C. Lipscomb

3.3k citations
69 papers · 2.6k · h-index 26

Impact in

Papers in

John C. Lipscomb

67 papers receiving 2.5k citations

Peers

John C. Lipscomb
Comparison fields: 5 of 145
  • Health, Toxicology and Mutagenesis 1.1k
  • Pharmacology 662
  • Chemical Health and Safety 27
  • Cancer Research 611
  • Small Animals 201
Replace Sami Haddad with:
Sami Haddad Canada
Hugh A. Barton United States
Jos Bessems Netherlands
Raymond S. H. Yang United States
Scott S. Auerbach United States
Ronald N. Hines United States
John P. Groten Netherlands
Penelope A. Fenner-Crisp United States
H.B. Matthews United States
Chad M. Thompson United States
John C. Lipscomb relative to Sami Haddad Canada Sami Haddad'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 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006347
2 2012172
3 2008141
4 2008138
5 2017109
6 2008104
7 2007102
8 200890
9 200076
10 199763
11 202057
12 200054
13 200453
14 201050
15 200349
16 200846
17 201246
18 201144
19 200344
20 201243

About John C. Lipscomb

John C. Lipscomb is a scholar working on Health, Toxicology and Mutagenesis, Pharmacology, Cancer Research, Computational Theory and Mathematics and Small Animals, having authored 69 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (26 papers), Carcinogens and Genotoxicity Assessment (24 papers), Effects and risks of endocrine disrupting chemicals (18 papers), Toxic Organic Pollutants Impact (10 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 Health, Toxicology and Mutagenesis (1.1k citations), Pharmacology (662 citations), Chemical Health and Safety (27 citations), Cancer Research (611 citations) and Small Animals (201 citations). John C. Lipscomb has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include John Snawder, Hugh A. Barton, Kannan Krishnan, Torka S. Poet, Amin Rostami‐Hodjegan, Zoe Barter, Weihsueh A. Chiu, Linda K. Teuschler, Gregory L. Kedderis and Alan R. Boobis. Their work appears in journals such as Regulatory Toxicology and Pharmacology, Journal of Toxicology and Environmental Health, Toxicological Sciences, Drug Metabolism and Disposition and Toxicology.

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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