Marcel Gut

121 papers receiving 1.8k citations

Peers

Marcel Gut
Comparison fields: 5 of 100
  • Pharmacology 533
  • Endocrinology, Diabetes and Metabolism 796
  • Pharmaceutical Science 140
  • Biochemistry 135
  • Reproductive Medicine 134
Replace Mika Hayano with:
Mika Hayano United States
Gary H. Rasmusson United States
B. P. Lisboa Germany
Rudolf Wiechert Germany
J. Neville Wright United Kingdom
Pierre Crabbé Mexico
Muhammad Akhtar United Kingdom
Katsuko Suhara Japan
Sergey A. Usanov Belarus
Joseph Jarabak United States
Marcel Gut relative to Mika Hayano United States Mika Hayano's profile →
Citations per field
00.5×12×
Mika Hayano · 1×
Citations per year

Countries citing papers authored by Marcel Gut

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Gut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1962115
2 1962102
3 196199
4 197685
5 195884
6 196583
7 196376
8 197572
9 195666
10 197050
11 196244
12 196743
13 195542
14 197142
15 197041
16 197641
17 197539
18 197739
19 196137
20 196136

About Marcel Gut

Marcel Gut is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Organic Chemistry and Genetics, having authored 127 papers that have together received 2.3k indexed citations. Recurring topics across this work include Steroid Chemistry and Biochemistry (58 papers), Cholesterol and Lipid Metabolism (25 papers), Hormonal and reproductive studies (21 papers), Estrogen and related hormone effects (16 papers), Analytical Chemistry and Chromatography (16 papers), Hormonal Regulation and Hypertension (12 papers), Pharmacogenetics and Drug Metabolism (12 papers) and Drug Transport and Resistance Mechanisms (12 papers). The work is most often cited by research in Pharmacology (533 citations), Endocrinology, Diabetes and Metabolism (796 citations), Pharmaceutical Science (140 citations), Biochemistry (135 citations) and Reproductive Medicine (134 citations). Marcel Gut has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Ralph I. Dorfman, Shlomo Burstein, Mika Hayano, Kyutaro Shimizu, Milan R. Uskoković, Ν. Κ. Chaudhuri, S. A. S. Tait, A. Riondel, J. F. Tait and Carlos García Gual. Their work appears in journals such as The Journal of Organic Chemistry, Steroids, Journal of Biological Chemistry, Journal of the American Chemical Society and The Journal of Clinical Endocrinology & Metabolism.

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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