Fred Parham

32 papers and 1.1k indexed citations i.

About

Fred Parham is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Computational Theory and Mathematics. According to data from OpenAlex, Fred Parham has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Health, Toxicology and Mutagenesis and 9 papers in Computational Theory and Mathematics. Recurrent topics in Fred Parham’s work include Computational Drug Discovery Methods (9 papers), Animal testing and alternatives (9 papers) and Effects and risks of endocrine disrupting chemicals (8 papers). Fred Parham is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Animal testing and alternatives (9 papers) and Effects and risks of endocrine disrupting chemicals (8 papers). Fred Parham collaborates with scholars based in United States, Canada and Sweden. Fred Parham's co-authors include Christopher J. Portier, Mamta Behl, Kristen Ryan, Raymond R. Tice, Scott A. Masten, Oksana Sirenko, H.B. Matthews, Daniel Svoboda, Scott S. Auerbach and Jui‐Hua Hsieh and has published in prestigious journals such as Bioinformatics, The Science of The Total Environment and Environmental Health Perspectives.

In The Last Decade

Co-authorship network of co-authors of Fred Parham i

Fields of papers citing papers by Fred Parham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Fred Parham

Since Specialization
Citations

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).

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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