James C. Lamb

3.2k citations
102 papers · 2.2k · h-index 29

Impact in

Papers in

James C. Lamb

95 papers receiving 2.0k citations

Peers

James C. Lamb
Comparison fields: 5 of 139
  • Health, Toxicology and Mutagenesis 1.2k
  • Cancer Research 503
  • Chemical Health and Safety 23
  • Reproductive Medicine 271
  • Small Animals 134
Replace Francesca Pacchierotti with:
Francesca Pacchierotti Italy
Otto Meyer Denmark
Rochelle W. Tyl United States
G. P. Daston United States
Shuk‐Mei Ho United States
Johnathan Furr United States
M. K. Smith United States
Marta Axelstad Denmark
Jan van Benthem Netherlands
Michael G. Narotsky United States
James C. Lamb relative to Francesca Pacchierotti Italy Francesca Pacchierotti's profile →
Citations per field
00.5×1.5×2.1×
Francesca Pacchierotti · 1×
Citations per year

Countries citing papers authored by James C. Lamb

Since Specialization
Citations

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

Fields of papers citing papers by James C. Lamb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987209
2 1985102
3 1999100
4 200694
5 198690
6 201487
7 198578
8 198473
9 196649
10 198445
11 198744
12 198441
13 200639
14 200036
15 198336
16 198635
17 198535
18 200734
19 198534
20
Water Quality and Its Control
198534

About James C. Lamb

James C. Lamb is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research, Molecular Biology, Reproductive Medicine and Plant Science, having authored 102 papers that have together received 2.2k indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (38 papers), Carcinogens and Genotoxicity Assessment (22 papers), Toxic Organic Pollutants Impact (16 papers), Sperm and Testicular Function (10 papers), Pesticide Exposure and Toxicity (9 papers), Reproductive Biology and Fertility (6 papers), Animal testing and alternatives (6 papers) and Hormonal and reproductive studies (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.2k citations), Cancer Research (503 citations), Chemical Health and Safety (23 citations), Reproductive Medicine (271 citations) and Small Animals (134 citations). James C. Lamb has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Robert E. Chapin, William M. Kluwe, Martha Harris, Deepak K. Agarwal, Jerry R. Reel, Linda S. Birnbaum, H. Wéber, James D. McKinney, Karyn L. Hentz and Scot Eustis. Their work appears in journals such as Environmental Health Perspectives, Toxicological Sciences, Toxicology and Applied Pharmacology, Journal of Toxicology and Environmental Health and Critical Reviews in 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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