Fred K. Friedman

2.8k citations
120 papers · 2.4k · h-index 27

Impact in

  • Pharmacology top 0.2%
    • Pharmacogenetics and Drug Metabolism
  • Oncology top 5%
    • Drug Transport and Resistance Mechanisms
    • Cancer-related Molecular Pathways

Papers in

Fred K. Friedman

116 papers receiving 2.3k citations

Peers

Fred K. Friedman
Comparison fields: 5 of 105
  • Pharmacology 914
  • Oncology 685
  • Biochemistry 135
  • Molecular Biology 1.2k
  • Cell Biology 225
Replace Paul P. Tamburini with:
Paul P. Tamburini United States
Alfin D. N. Vaz United States
Vincent C.O. Njar United States
Palaniappan Kulanthaivel United States
Grace Chao Yeh United States
Grażyna D. Szklarz United States
Sylvie Fournel‐Gigleux France
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Citations per field
00.5×1.5×
Paul P. Tamburini · 1×
Citations per year

Countries citing papers authored by Fred K. Friedman

Since Specialization
Citations

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

Fields of papers citing papers by Fred K. Friedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997121
2 1997109
3 2000103
4
Comparative inhibition of human cytochromes P450 1A1 and 1A2 by flavonoids.
1998102
5 198687
6 199583
7 200180
8 199667
9 200365
10 197961
11 198061
12 199157
13 198554
14 199351
15 198550
16 198448
17 199744
18 199636
19 199931
20 198330

About Fred K. Friedman

Fred K. Friedman is a scholar working on Molecular Biology, Pharmacology, Oncology, Cell Biology and Radiology, Nuclear Medicine and Imaging, having authored 120 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (46 papers), Cancer-related Molecular Pathways (21 papers), Monoclonal and Polyclonal Antibodies Research (15 papers), Hemoglobin structure and function (14 papers), Drug Transport and Resistance Mechanisms (12 papers), Protein Kinase Regulation and GTPase Signaling (11 papers), Computational Drug Discovery Methods (9 papers) and Carcinogens and Genotoxicity Assessment (7 papers). The work is most often cited by research in Pharmacology (914 citations), Oncology (685 citations), Biochemistry (135 citations), Molecular Biology (1.2k citations) and Cell Biology (225 citations). Fred K. Friedman has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Matthew R. Pincus, Richard C. Robinson, Harry V. Gelboin, Aditya P. Koley, Renke Dai, Allen Markowitz, Paul W. Brandt‐Rauf, Sherman Beychok, Jeroen Buters and Robert E. Vestal. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Biochemical Pharmacology, Biochemical and Biophysical Research Communications and Cancer Chemotherapy and Pharmacology.

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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