Brian L. Fish

3.8k citations
122 papers · 3.1k indexed · h-index 34

Impact in

Papers in

Brian L. Fish

121 papers receiving 3.0k citations

Peers

Brian L. Fish
Comparison fields: 5 of 119
  • Radiology, Nuclear Medicine and Imaging 1.8k
  • Nephrology 230
  • Pulmonary and Respiratory Medicine 815
  • Cardiology and Cardiovascular Medicine 511
  • Otorhinolaryngology 97
Replace Michael Poon with:
Michael Poon United States
William F. Ward United States
Robert Jan van Suylen Netherlands
Sumio Kawata Japan
Hans Loibner Austria
Carine J. Peutz‐Kootstra Netherlands
Yoshiyuki Kakehi Japan
Franco Trevisani Italy
Arthur Zimmermann Switzerland
Vladisav Stefanović Serbia
Brian L. Fish relative to Michael Poon United States Michael Poon's profile →
Citations per field
00.5×7.5×
Michael Poon · 1×
Citations per year

Countries citing papers authored by Brian L. Fish

Since Specialization
Citations

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

Fields of papers citing papers by Brian L. Fish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20236
3 20236
4 20232
5 20233
6 20238
7 202111
8 20213
9 201731
10 201341
11 201125
12 201032
13 201067
14 201040
15 200992
16 20026
17 200221
18 200124
19 199735
20 199613

About Brian L. Fish

Brian L. Fish is a scholar working on Radiology, Nuclear Medicine and Imaging, Nephrology, Cardiology and Cardiovascular Medicine, Biochemistry and Pulmonary and Respiratory Medicine, having authored 122 papers that have together received 3.1k indexed citations. Recurring topics across this work include Effects of Radiation Exposure (63 papers), Glutathione Transferases and Polymorphisms (17 papers), Acute Kidney Injury Research (16 papers), Renin-Angiotensin System Studies (16 papers), Radiation Therapy and Dosimetry (15 papers), Chemotherapy-induced cardiotoxicity and mitigation (15 papers), Ultrasound and Hyperthermia Applications (13 papers) and Chemotherapy-induced organ toxicity mitigation (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.8k citations), Nephrology (230 citations), Pulmonary and Respiratory Medicine (815 citations), Cardiology and Cardiovascular Medicine (511 citations) and Otorhinolaryngology (97 citations). Brian L. Fish has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include John E. Moulder, Eric P. Cohen, Meetha Medhora, Elizabeth R. Jacobs, Feng Gao, J. E. Moulder, Jayashree Narayanan, Robert C. Molthen, John E. Baker and Andrew Jones. Their work appears in journals such as Radiation Research, International Journal of Radiation Oncology*Biology*Physics, International Journal of Radiation Biology, Health Physics and Journal of Investigative Medicine.

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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