Jason C. Lambert

24 papers receiving 1.4k citations

Peers

Jason C. Lambert
Comparison fields: 5 of 117
  • Chemical Health and Safety 16
  • Pathology and Forensic Medicine 397
  • Health, Toxicology and Mutagenesis 302
  • Pharmacology 141
  • Environmental Chemistry 136
Replace Chenjiang Ying with:
Chenjiang Ying China
Howard P. Glauert United States
Michelle Angrish United States
Bhupendra S. Kaphalia United States
Masanori Kuratsune Japan
Alexander Amberg Germany
Tim J.B. Gray United Kingdom
Michael A. Pereira United States
Gregory L. Kedderis United States
Peter J. Gillies United States
Jason C. Lambert relative to Chenjiang Ying China Chenjiang Ying's profile →
Citations per field
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Chenjiang Ying · 1×
Citations per year

Countries citing papers authored by Jason C. Lambert

Since Specialization
Citations

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

Fields of papers citing papers by Jason C. Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003207
2 2003176
3 2006171
4 2013157
5 2003117
6 201097
7 201988
8 200268
9 202147
10 201845
11 200442
12 201741
13 200335
14 201235
15 200726
16 202220
17 200519
18 201912
19 200511
20 20229

About Jason C. Lambert

Jason C. Lambert is a scholar working on Health, Toxicology and Mutagenesis, Small Animals, Cancer Research, Computational Theory and Mathematics and Pathology and Forensic Medicine, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (11 papers), Animal testing and alternatives (9 papers), Carcinogens and Genotoxicity Assessment (6 papers), Computational Drug Discovery Methods (5 papers), Trace Elements in Health (4 papers), Alcohol Consumption and Health Effects (4 papers), Cell death mechanisms and regulation (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Chemical Health and Safety (16 citations), Pathology and Forensic Medicine (397 citations), Health, Toxicology and Mutagenesis (302 citations), Pharmacology (141 citations) and Environmental Chemistry (136 citations). Jason C. Lambert has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Zhanxiang Zhou, Y. James Kang, Craig J. McClain, Zhenyuan Song, Gavin E. Arteel, Qin Zhao, Scott C. Wesselkamper, Russell S. Thomas, Nina Ching Y. Wang and Lipeng Wang. Their work appears in journals such as Regulatory Toxicology and Pharmacology, Toxicological Sciences, American Journal Of Pathology, Journal of Pharmacology and Experimental Therapeutics and Gastroenterology.

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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