Greg C. Mun
Impact in
- Small Animals top 2%
- Animal testing and alternatives
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment
Papers in
-
- Animal testing and alternatives 9
-
- Effects and risks of endocrine disrupting chemicals 7
- Co-authors
- Marilyn J. Aardema (7 shared papers)Rodger D. Curren (6 shared papers)David P. Gibson (1 shared paper)Nicola J. Hewitt (4 shared papers)Yulia Kaluzhny (2 shared papers)Ting Hu (2 shared papers)Mitchell Klausner (2 shared papers)Stefan Pfuhler (3 shared papers)
- Journals
- Mutation Research/Genetic Toxicology and Environmental Mutagenesis (6 papers)Mutagenesis (1 paper)Toxicology in Vitro (1 paper)Current Protocols in Toxicology (1 paper)Cutaneous and Ocular Toxicology (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Greg C. Mun
11 papers receiving 351 citations
Peers
Comparison fields: 5 of 58
- Small Animals 191
- Cancer Research 198
- Health, Toxicology and Mutagenesis 173
- Dermatology 52
- Chemical Health and Safety 4
Countries citing papers authored by Greg C. Mun
This map shows the geographic impact of Greg C. Mun'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 C. Mun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg C. Mun more than expected).
Fields of papers citing papers by Greg C. Mun
This network shows the impact of papers produced by Greg C. Mun. 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 C. Mun. The network helps show where Greg C. Mun may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg C. Mun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 92 | |
| 2 | 2009 | 55 | |
| 3 | 2010 | 54 | |
| 4 | 2009 | 52 | |
| 5 | 2010 | 41 | |
| 6 | 2012 | 25 | |
| 7 | 2020 | 23 | |
| 8 | 1994 | 12 | |
| 9 | 2019 | 6 | |
| 10 | 2014 | 5 | |
| 11 | 2007 | 5 |
About Greg C. Mun
Greg C. Mun is a scholar working on Small Animals, Health, Toxicology and Mutagenesis, Cancer Research, Insect Science and Plant Science, having authored 11 papers that have together received 370 indexed citations. Recurring topics across this work include Animal testing and alternatives (9 papers), Effects and risks of endocrine disrupting chemicals (7 papers), Carcinogens and Genotoxicity Assessment (7 papers), Pesticide Exposure and Toxicity (1 paper), Computational Drug Discovery Methods (1 paper), Genetically Modified Organisms Research (1 paper), 3D Printing in Biomedical Research (1 paper) and Bee Products Chemical Analysis (1 paper). The work is most often cited by research in Small Animals (191 citations), Cancer Research (198 citations), Health, Toxicology and Mutagenesis (173 citations), Dermatology (52 citations) and Chemical Health and Safety (4 citations). Greg C. Mun has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Marilyn J. Aardema, Rodger D. Curren, David P. Gibson, Nicola J. Hewitt, Yulia Kaluzhny, Ting Hu, Mitchell Klausner, Stefan Pfuhler, Zubin S. Khambatta and Kerstin Reisinger. Their work appears in journals such as Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Mutagenesis, Toxicology in Vitro, Current Protocols in Toxicology and Cutaneous and Ocular 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.