Greg Travlos

32 papers receiving 2.1k citations

Greg Travlos's Hit Papers

Vaginal Cytology of the Laboratory Rat and Mouse 2015 · 667 citations
6670+3+7Years since publication200400600

Peers

Greg Travlos
Comparison fields: 5 of 128
  • Aging 78
  • Behavioral Neuroscience 123
  • Reproductive Medicine 242
  • Physiology 416
  • Endocrinology, Diabetes and Metabolism 254
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Jen-Chywan Wang United States
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Countries citing papers authored by Greg Travlos

Since Specialization
Citations

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

Fields of papers citing papers by Greg Travlos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg Travlos. 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 Greg Travlos. The network helps show where Greg Travlos may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Vaginal Cytology of the Laboratory Rat and Mouse
Hit paper breakdown →
2015667
2
Dietary restriction reduces insulin-like growth factor I levels, which modulates apoptosis, cell proliferation, and tumor progression in p53-deficient mice.
1997391
3 2014197
4 2009165
5 1996115
6 200985
7 201069
8
Effects of buprenorphine, meloxicam, and flunixin meglumine as postoperative analgesia in mice.
201167
9 201261
10 200949
11 201141
12 200438
13 201129
14 200129
15 201128
16 201824
17 200522
18 199918
19 201117
20 199912

About Greg Travlos

Greg Travlos is a scholar working on Cancer Research, Immunology, Health, Toxicology and Mutagenesis, Small Animals and Pharmacology, having authored 33 papers that have together received 2.2k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (11 papers), Immunotoxicology and immune responses (7 papers), Animal testing and alternatives (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Pesticide Exposure and Toxicity (3 papers), Pesticide Residue Analysis and Safety (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Aging (78 citations), Behavioral Neuroscience (123 citations), Reproductive Medicine (242 citations), Physiology (416 citations) and Endocrinology, Diabetes and Metabolism (254 citations). Greg Travlos has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Michelle Cora, Linda Kooistra, Grace E. Kissling, Sandra E. Dunn, J. Carl Barrett, John E. French, Joel R. Leininger, Rebecca L. Wilson, Frank W. Kari and Undi Hoffler. Their work appears in journals such as Toxicologic Pathology, Toxicology and Applied Pharmacology, Toxicology, Food and Chemical Toxicology and Human Molecular Genetics.

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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