R.G. Fish

427 citations
26 papers · 346 indexed · h-index 10

R.G. Fish

25 papers receiving 327 citations

Peers

R.G. Fish
Comparison fields: 5 of 71
  • Reproductive Medicine 41
  • Cancer Research 61
  • Urology 16
  • Modeling and Simulation 11
  • Molecular Biology 162
Replace M. Claire Walker with:
M. Claire Walker United Kingdom
G. Sica Italy
Laetitia Marzi United States
Mark Edelstein United States
Pushpa Singh India
Vilhelm A. Bohr United States
Uk-Il Kim
Stephen Hyter United States
PL Olive Canada
Marília I. Figueira Portugal
R.G. Fish relative to M. Claire Walker United Kingdom M. Claire Walker's profile →
Citations per field
00.5×11×
M. Claire Walker · 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-authorship network

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
#Work
1 20024
2 199965
3 199997
4 199747
5 19964
6
Elevated levels of basic fibroblast growth factor in the urine of clam enterocystoplasty patients.
19969
7 19969
8 19945
9 19905
10 19892
11 198816
12 198713
13 19875
14 19864
15 19852
16 19852
17 198416
18 19824
19 19802
20 197310

About R.G. Fish

R.G. Fish is a scholar working on Reproductive Medicine, Urology, Pathology and Forensic Medicine, Genetics 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), Chemotherapy-induced organ toxicity mitigation (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Testicular diseases and treatments (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Research in Cotton Cultivation (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Reproductive Medicine (41 citations), Cancer Research (61 citations), Urology (16 citations), Modeling and Simulation (11 citations) and Molecular Biology (162 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, D. Mort, Paul W. Groundwater, Marsha L. Mason, Tejendra S. Gill and T. P. Stephenson. Their work appears in journals such as British Journal of Cancer, Clinical Biochemistry, Journal of Pharmacy and Pharmacology, Annals of Clinical Biochemistry International Journal of Laboratory Medicine and Journal of Theoretical Biology.

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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