G Trout

28 papers receiving 951 citations

Peers

G Trout
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 492
  • Toxicology 58
  • Cell Biology 244
  • Animal Science and Zoology 134
  • Hematology 134
Replace Peter Hemmersbach with:
Peter Hemmersbach Norway
Magnus Ericsson Sweden
Mario Thevis Germany
Katja Walpurgis Germany
Oliver Krug Germany
Patrick Bennett United States
W E Neeley United States
P Padieu France
David J. Borts United States
John B. Hill United States
G Trout relative to Peter Hemmersbach Norway Peter Hemmersbach's profile →
Citations per field
00.5×1.5×
Peter Hemmersbach · 1×
Citations per year

Countries citing papers authored by G Trout

Since Specialization
Citations

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

Fields of papers citing papers by G Trout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Second-generation blood tests to detect erythropoietin abuse by athletes.
2003156
2
Development of reference ranges in elite athletes for markers of altered erythropoiesis.
200281
3 200379
4 200369
5 200067
6 200864
7 200453
8 200252
9 199147
10 200646
11 199739
12 199238
13 200536
14 200829
15 200828
16 200921
17 200221
18 200520
19 199314
20 20107

About G Trout

G Trout is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology, Spectroscopy, Sociology and Political Science and Animal Science and Zoology, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (11 papers), Muscle metabolism and nutrition (7 papers), Analytical Chemistry and Chromatography (5 papers), Pharmacological Effects and Assays (4 papers), Erythropoietin and Anemia Treatment (4 papers), Doping in Sports (4 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (492 citations), Toxicology (58 citations), Cell Biology (244 citations), Animal Science and Zoology (134 citations) and Hematology (134 citations). G Trout has collaborated with scholars based in Australia and United States. Frequent co-authors include Rymantas Kazlauskas, Romas J. Kazlauskas, Adam Cawley, Adrian V. George, Michael Ashenden, Robin Parisotto, Catrin Goebel, Christopher J. Gore, C Howe and Allan G. Hahn. Their work appears in journals such as The Journal of Physical Chemistry, Forensic Science International, Clinical Journal of Sport Medicine, The Journal of Clinical Endocrinology & Metabolism and Therapeutic Drug Monitoring.

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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