Gary J. Chellman

1.1k total citations
31 papers, 746 citations indexed

About

Gary J. Chellman is a scholar working on Immunology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Gary J. Chellman has authored 31 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 7 papers in Pediatrics, Perinatology and Child Health and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Gary J. Chellman's work include Immunotoxicology and immune responses (4 papers), Reproductive System and Pregnancy (4 papers) and Pregnancy and Medication Impact (4 papers). Gary J. Chellman is often cited by papers focused on Immunotoxicology and immune responses (4 papers), Reproductive System and Pregnancy (4 papers) and Pregnancy and Medication Impact (4 papers). Gary J. Chellman collaborates with scholars based in United States, Netherlands and Denmark. Gary J. Chellman's co-authors include Jeanine L. Bussiere, James S. Bus, Zahir A. Shaikh, Raymond B. Baggs, Peter K. Working, Gerhard F. Weinbauer, Yojiro Ooshima, Pauline L. Martin, Norbert Makori and Michael J. Taylor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Experimental Neurology.

In The Last Decade

Gary J. Chellman

30 papers receiving 693 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gary J. Chellman United States 17 174 142 139 126 106 31 746
JeHoon Lee United States 20 453 2.6× 120 0.8× 120 0.9× 130 1.0× 72 0.7× 51 1.1k
Rüdiger Schultz Finland 14 79 0.5× 88 0.6× 81 0.6× 294 2.3× 51 0.5× 22 777
Nathalie Fuentes United States 12 111 0.6× 72 0.5× 144 1.0× 306 2.4× 25 0.2× 25 1.0k
Jiayin Lu China 12 152 0.9× 138 1.0× 67 0.5× 199 1.6× 68 0.6× 23 742
Martin R. Clark United States 21 225 1.3× 433 3.0× 40 0.3× 201 1.6× 55 0.5× 51 1.2k
Louiza Belkacemi United States 20 110 0.6× 94 0.7× 30 0.2× 287 2.3× 448 4.2× 33 1.0k
Anna P. Ponnampalam New Zealand 19 527 3.0× 230 1.6× 255 1.8× 334 2.7× 160 1.5× 38 1.3k
S. A. Holick United States 13 95 0.5× 66 0.5× 82 0.6× 188 1.5× 43 0.4× 19 1.2k
Edmond J. Ritter United States 17 34 0.2× 164 1.2× 125 0.9× 289 2.3× 253 2.4× 28 861
Hüseyin Aktuğ Türkiye 17 64 0.4× 54 0.4× 36 0.3× 189 1.5× 31 0.3× 73 731

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-authorship network of co-authors of Gary J. Chellman

This figure shows the co-authorship network connecting the top 25 collaborators of Gary J. Chellman. A scholar is included among the top collaborators of Gary J. Chellman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gary J. Chellman. Gary J. Chellman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Bussiere, Jeanine L., Charles R. Dean, Cen Xu, et al.. (2019). Nonclinical safety evaluation of erenumab, a CGRP receptor inhibitor for the prevention of migraine. Regulatory Toxicology and Pharmacology. 106. 224–238. 39 indexed citations
6.
Moffat, Graeme J., Marc W. Retter, M. Benjamin Hock, et al.. (2014). Placental Transfer of a Fully Human IgG2 Monoclonal Antibody in the Cynomolgus Monkey, Rat, and Rabbit: A Comparative Assessment from during Organogenesis to Late Gestation. Birth Defects Research Part B Developmental and Reproductive Toxicology. 101(2). 178–188. 25 indexed citations
7.
Bussiere, Jeanine L., Ian Pyrah, Rogely Boyce, et al.. (2013). Reproductive toxicity of denosumab in cynomolgus monkeys. Reproductive Toxicology. 42. 27–40. 29 indexed citations
8.
Chapman, Kathryn, Henry H. Holzgrefe, Lauren E. Black, et al.. (2013). Pharmaceutical toxicology: Designing studies to reduce animal use, while maximizing human translation. Regulatory Toxicology and Pharmacology. 66(1). 88–103. 99 indexed citations
9.
Collinge, Mark, Leigh Ann Burns‐Naas, Gary J. Chellman, et al.. (2012). Developmental immunotoxicity (DIT) testing of pharmaceuticals: Current practices, state of the science, knowledge gaps, and recommendations. Journal of Immunotoxicology. 9(2). 210–230. 19 indexed citations
10.
Morford, LaRonda L., Christopher Bowman, Diann Blanset, et al.. (2011). Preclinical safety evaluations supporting pediatric drug development with biopharmaceuticals: strategy, challenges, current practices. Birth Defects Research Part B Developmental and Reproductive Toxicology. 92(4). n/a–n/a. 16 indexed citations
11.
Chellman, Gary J., Jeanine L. Bussiere, Norbert Makori, et al.. (2009). Developmental and reproductive toxicology studies in nonhuman primates. Birth Defects Research Part B Developmental and Reproductive Toxicology. 86(6). 446–462. 80 indexed citations
12.
Devalaraja, Madhav N., et al.. (2009). Developmental and peri-postnatal study in cynomolgus monkeys with belimumab, a monoclonal antibody directed against B-lymphocyte stimulator. Reproductive Toxicology. 28(4). 443–455. 41 indexed citations
14.
Reinheimer, Torsten, et al.. (2006). Barusiban, An Effective Long-Term Treatment of Oxytocin-Induced Preterm Labor in Nonhuman Primates1. Biology of Reproduction. 75(5). 809–814. 16 indexed citations
15.
Reinheimer, Torsten, et al.. (2005). Barusiban, A New Highly Potent and Long-Acting Oxytocin Antagonist: Pharmacokinetic and Pharmacodynamic Comparison with Atosiban in a Cynomolgus Monkey Model of Preterm Labor. The Journal of Clinical Endocrinology & Metabolism. 90(4). 2275–2281. 30 indexed citations
16.
Chellman, Gary J., et al.. (2004). Telemetric uterine contraction model in preterm cynomolgus monkeys. Reproductive Toxicology. 18(2). 285–293. 6 indexed citations
17.
Stewart, Gregory R., et al.. (1997). Hyperplastic Changes within the Leptomeninges of the Rat and Monkey in Response to Chronic Intracerebroventricular Infusion of Nerve Growth Factor. Experimental Neurology. 145(1). 24–37. 58 indexed citations
18.
Chellman, Gary J.. (1990). Rat paw-lick/muscle irritation model for evaluating parenteral formulations for pain-on-injection and muscle damage*1. Fundamental and Applied Toxicology. 15(4). 697–709. 6 indexed citations
19.
Chellman, Gary J., Mark E. Hurtt, James S. Bus, & Peter K. Working. (1987). Role of testicular versus epididymal toxicity in the induction of cytotoxic damage in fischer-344 rat sperm by methyl chloride. Reproductive Toxicology. 1(1). 25–35. 9 indexed citations
20.
Chellman, Gary J., Zahir A. Shaikh, & Raymond B. Baggs. (1984). Decreased uptake and altered subcellular disposition of testicular cadmium as possible mechanisms of resistance to cadmium-induced testicular necrosis in inbred mice. Toxicology. 30(2). 157–169. 27 indexed citations

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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