Fay K. Kessler

26 papers receiving 1.1k citations

Peers

Fay K. Kessler
Comparison fields: 5 of 89
  • Pharmacology 423
  • Transplantation 34
  • Pediatrics, Perinatology and Child Health 224
  • Pharmacology 194
  • Oncology 264
Replace Marina Tinel with:
Marina Tinel France
Miroslav Dostálek United States
Nina Hanke Germany
Alvin Gomez Sweden
Roman A. McLellan Sweden
Joanna M. Little United States
Birgit L. Coffman United States
Xiaoping Chen China
Takanori Hashizume Japan
Stephen Fowler Switzerland
Fay K. Kessler relative to Marina Tinel France Marina Tinel's profile →
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Citations per year

Countries citing papers authored by Fay K. Kessler

Since Specialization
Citations

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

Fields of papers citing papers by Fay K. Kessler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fay K. Kessler. 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 Fay K. Kessler. The network helps show where Fay K. Kessler may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004187
2 2000151
3 1994115
4 199997
5 199758
6 200358
7 200552
8 200248
9 199244
10 200840
11 200431
12 200026
13 200622
14 200722
15 200121
16 200318
17 198615
18 200614
19 200013
20 198612

About Fay K. Kessler

Fay K. Kessler is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Surgery, Cancer Research and Pharmacology, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neonatal Health and Biochemistry (9 papers), Pancreatic function and diabetes (6 papers), Pharmacogenetics and Drug Metabolism (5 papers), Cannabis and Cannabinoid Research (4 papers), Carcinogens and Genotoxicity Assessment (3 papers), Toxic Organic Pollutants Impact (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Pharmacology (423 citations), Transplantation (34 citations), Pediatrics, Perinatology and Child Health (224 citations), Pharmacology (194 citations) and Oncology (264 citations). Fay K. Kessler has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Joseph K. Ritter, Diana J. Auyeung, Chantal Guillemette, Norbert E. Kaminski, Andrew D. Grove, Woo Suk Koh, Richard P. Metz, Kyu Hwan Yang, Michael Lee and Philip C. Smith. Their work appears in journals such as Drug Metabolism and Disposition, Toxicology and Applied Pharmacology, Molecular Pharmacology, Journal of Pharmacology and Experimental Therapeutics and The American Statistician.

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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