R.G. Fish

25 papers receiving 327 citations

Peers

R.G. Fish
Comparison fields: 5 of 68
  • Reproductive Medicine 39
  • Cancer Research 56
  • Modeling and Simulation 11
  • Plant Science 81
  • Molecular Biology 141
Replace Mark Edelstein with:
Mark Edelstein United States
Luca Ricotti Italy
Vilhelm A. Bohr United States
Pushpa Singh India
Howell Sb United States
Emilia Rippa Italy
Hong Im Kim United States
Doreen K. Hom United States
Yueliang Yao China
Wenbo Mu China
R.G. Fish relative to Mark Edelstein United States Mark Edelstein's profile →
Citations per field
00.5×10×16.2×
Mark Edelstein · 1×
Citations per year

Countries citing papers authored by R.G. Fish

Since Specialization
Citations

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

Fields of papers citing papers by R.G. Fish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside R.G. 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 R.G. Fish Line = papers co-authored together R.G. Fish 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 199997
2 199965
3 199747
4 198416
5 198816
6 198713
7 197310
8
Elevated levels of basic fibroblast growth factor in the urine of clam enterocystoplasty patients.
19969
9 19829
10 19969
11 19746
12 19846
13 19875
14 19945
15 19905
16 19864
17 19964
18 20024
19 19824
20 19812

About R.G. Fish

R.G. Fish is a scholar working on Molecular Biology, Reproductive Medicine, Surgery, Pathology and Forensic Medicine and Oncology, having authored 26 papers that have together received 346 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (8 papers), Advanced Proteomics Techniques and Applications (3 papers), Testicular diseases and treatments (3 papers), Chemotherapy-induced organ toxicity mitigation (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Toxin Mechanisms and Immunotoxins (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Reproductive Medicine (39 citations), Cancer Research (56 citations), Modeling and Simulation (11 citations), Plant Science (81 citations) and Molecular Biology (141 citations). R.G. Fish has collaborated with scholars based in United Kingdom, Belgium and Australia. Frequent co-authors include M. Shelley, Steven D. Webb, Jonathan A. Sherratt, Malcolm Adams, Andrew R. Evans, Marsha L. Mason, Paul W. Groundwater, D. Mort, Tejendra S. Gill and J. W. Barrington. Their work appears in journals such as Clinical Biochemistry, British Journal of Cancer, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Journal of Pharmacy and Pharmacology and Cancer 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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