Brian E. Fink

33 papers receiving 1.9k citations

Peers

Brian E. Fink
Comparison fields: 5 of 91
  • Toxicology 113
  • Organic Chemistry 762
  • Oncology 516
  • Molecular Biology 1.0k
  • Genetics 365
Replace Hai‐Bing Zhou with:
Hai‐Bing Zhou China
Jay E. Wrobel United States
Amarnath Natarajan United States
C. Michael Lin United States
Izabela Fokt United States
Mark A. Ashwell United States
Barbara Nawrot Poland
Rahul Palchaudhuri United States
Arno F. Spatola United States
John J. Pink United States
Brian E. Fink relative to Hai‐Bing Zhou China Hai‐Bing Zhou's profile →
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Citations per year

Countries citing papers authored by Brian E. Fink

Since Specialization
Citations

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

Fields of papers citing papers by Brian E. Fink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian E. Fink. 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 Brian E. Fink. The network helps show where Brian E. Fink may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001503
2 1999288
3 1999202
4 2000170
5 199891
6 200486
7 200672
8 200542
9 200637
10 200735
11 201834
12 200130
13 200729
14 200929
15 201828
16 202227
17 200025
18 201025
19 200721
20 201921

About Brian E. Fink

Brian E. Fink is a scholar working on Oncology, Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging and Organic Chemistry, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (10 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Chemical Synthesis and Analysis (5 papers), Estrogen and related hormone effects (4 papers), Cancer therapeutics and mechanisms (4 papers), DNA and Nucleic Acid Chemistry (3 papers), Synthetic Organic Chemistry Methods (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Toxicology (113 citations), Organic Chemistry (762 citations), Oncology (516 citations), Molecular Biology (1.0k citations) and Genetics (365 citations). Brian E. Fink has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Michael P. Hedrick, Dale L. Boger, John A. Katzenellenbogen, Steven R. Brunette, Winston C. Tse, Jun Sun, Benita S. Katzenellenbogen, Ramji Ramaswamy Rajendran, Marvin J. Meyers and Shaun R. Stauffer. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of the American Chemical Society, Journal of Medicinal Chemistry, The Journal of Organic Chemistry and ACS Medicinal Chemistry Letters.

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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