Gary J. Chellman

1.1k citations
31 papers · 746 · h-index 17

Impact in

Papers in

Gary J. Chellman

30 papers receiving 693 citations

Peers

Gary J. Chellman
Comparison fields: 5 of 100
  • Health, Toxicology and Mutagenesis 139
  • Small Animals 71
  • Immunology 174
  • Developmental Neuroscience 29
  • Reproductive Medicine 55
Replace Reiko Nagano with:
Reiko Nagano Japan
Yasuhiro Fujiwara Japan
Rüdiger Schultz Finland
Hüseyin Aktuğ Türkiye
Klaus M. Becker Portugal
JeHoon Lee United States
Nathalie Fuentes United States
Louiza Belkacemi United States
Jennifer E. Bruin Canada
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Citations per field
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Citations per year

Countries citing papers authored by Gary J. Chellman

Since Specialization
Citations

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

Fields of papers citing papers by Gary J. Chellman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary J. Chellman. 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 Gary J. Chellman. The network helps show where Gary J. Chellman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201399
2 200980
3 199758
4 200941
5 201939
6 201439
7 198538
8 200530
9 201329
10 198427
11 201425
12 198624
13 198621
14 198621
15 201219
16 201517
17
Activation of B virus (Herpesvirus simiae) in chronically immunosuppressed cynomolgus monkeys.
199217
18 201116
19 200616
20 200713

About Gary J. Chellman

Gary J. Chellman is a scholar working on Immunology, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Small Animals and Social Psychology, having authored 31 papers that have together received 746 indexed citations. Recurring topics across this work include Immunotoxicology and immune responses (4 papers), Pregnancy and Medication Impact (4 papers), Reproductive System and Pregnancy (4 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Animal testing and alternatives (3 papers), Biosimilars and Bioanalytical Methods (3 papers), Neuroendocrine regulation and behavior (3 papers) and Carcinogens and Genotoxicity Assessment (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (139 citations), Small Animals (71 citations), Immunology (174 citations), Developmental Neuroscience (29 citations) and Reproductive Medicine (55 citations). Gary J. Chellman has collaborated with scholars based in United States, Netherlands and Denmark. Frequent co-authors include Jeanine L. Bussiere, James S. Bus, Zahir A. Shaikh, Raymond B. Baggs, Gerhard F. Weinbauer, Peter K. Working, Pauline L. Martin, Yojiro Ooshima, Norbert Makori and Randolph M. Johnson. Their work appears in journals such as Reproductive Toxicology, Toxicology and Applied Pharmacology, Regulatory Toxicology and Pharmacology, Experimental Neurology and Proceedings of the National Academy of Sciences.

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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