Fred Parham
Impact in
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- Effects and risks of endocrine disrupting chemicals
- Toxic Organic Pollutants Impact
- Environmental Toxicology and Ecotoxicology
- Developmental Neuroscience top 5%
Papers in
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- Gene expression and cancer classification 4
- Pluripotent Stem Cells Research 4
- Gene Regulatory Network Analysis 4
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- Effects and risks of endocrine disrupting chemicals 6
- Co-authors
- Christopher J. Portier (17 shared papers)Mamta Behl (7 shared papers)Kristen Ryan (6 shared papers)Raymond R. Tice (6 shared papers)Scott A. Masten (3 shared papers)Oksana Sirenko (3 shared papers)Jui‐Hua Hsieh (4 shared papers)H.B. Matthews (3 shared papers)
- Journals
- Environmental Health Perspectives (8 papers)Toxicological Sciences (6 papers)Toxicology and Applied Pharmacology (5 papers)Bioinformatics (2 papers)NeuroToxicology (2 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Fred Parham
30 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 114
- Health, Toxicology and Mutagenesis 564
- Developmental Neuroscience 80
- Small Animals 138
- Pollution 145
- Cancer Research 124
Countries citing papers authored by Fred Parham
This map shows the geographic impact of Fred Parham'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 Fred Parham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Parham more than expected).
Fields of papers citing papers by Fred Parham
This network shows the impact of papers produced by Fred Parham. 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 Fred Parham. The network helps show where Fred Parham may publish in the future.
Co-authors
The 25 scholars most cited alongside Fred Parham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 214 | |
| 2 | 2018 | 163 | |
| 3 | 2016 | 111 | |
| 4 | 2008 | 91 | |
| 5 | 1997 | 81 | |
| 6 | 2002 | 72 | |
| 7 | 2017 | 70 | |
| 8 | 2018 | 66 | |
| 9 | 2018 | 43 | |
| 10 | 1996 | 36 | |
| 11 | 2004 | 36 | |
| 12 | 2009 | 36 | |
| 13 | 2018 | 27 | |
| 14 | 2004 | 23 | |
| 15 | 1998 | 22 | |
| 16 | 2004 | 20 | |
| 17 | 2016 | 20 | |
| 18 | 2012 | 20 | |
| 19 | 2006 | 19 | |
| 20 | 2009 | 18 |
About Fred Parham
Fred Parham is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Computational Theory and Mathematics, Small Animals and Pharmacology, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Animal testing and alternatives (7 papers), Effects and risks of endocrine disrupting chemicals (6 papers), Gene expression and cancer classification (4 papers), Pluripotent Stem Cells Research (4 papers), Carcinogens and Genotoxicity Assessment (4 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Gene Regulatory Network Analysis (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (564 citations), Developmental Neuroscience (80 citations), Small Animals (138 citations), Pollution (145 citations) and Cancer Research (124 citations). Fred Parham has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Christopher J. Portier, Mamta Behl, Kristen Ryan, Raymond R. Tice, Scott A. Masten, Oksana Sirenko, Jui‐Hua Hsieh, H.B. Matthews, Scott S. Auerbach and Daniel Svoboda. Their work appears in journals such as Environmental Health Perspectives, Toxicological Sciences, Toxicology and Applied Pharmacology, Bioinformatics and NeuroToxicology.
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.