G. Beck

891 citations
57 papers · 741 · h-index 15

Impact in

Papers in

    • RNA and protein synthesis mechanisms 7
    • Receptor Mechanisms and Signaling 6
    • RNA Research and Splicing 5
    • Estrogen and related hormone effects 14

G. Beck

56 papers receiving 651 citations

Peers

G. Beck
Comparison fields: 5 of 85
  • Pharmacology 83
  • Endocrinology, Diabetes and Metabolism 127
  • Behavioral Neuroscience 27
  • Biochemistry 50
  • Genetics 165
Replace Nagasumi Yago with:
Nagasumi Yago Japan
E. Highland United States
J Chauveau France
Patricia M. Stevenson Australia
John S. Schweppe United States
C.C. Widnell Tanzania
Roger E. Ganschow United States
Fumihide Isohashi Japan
B. Sorg Germany
Claudia T. Evans United States
G. Beck relative to Nagasumi Yago Japan Nagasumi Yago's profile →
Citations per field
00.5×4.7×
Nagasumi Yago · 1×
Citations per year

Countries citing papers authored by G. Beck

Since Specialization
Citations

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

Fields of papers citing papers by G. Beck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980112
2 197952
3 198550
4 198040
5 196132
6 198131
7 198428
8 197427
9 197726
10 197025
11 199121
12 198818
13 196016
14 198616
15 197414
16 199113
17 198213
18 197813
19 199010
20 196810

About G. Beck

G. Beck is a scholar working on Molecular Biology, Genetics, Pharmacology, Oncology and Endocrinology, Diabetes and Metabolism, having authored 57 papers that have together received 741 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (14 papers), Pharmacogenetics and Drug Metabolism (12 papers), RNA and protein synthesis mechanisms (7 papers), Receptor Mechanisms and Signaling (6 papers), RNA Research and Splicing (5 papers), Viral-associated cancers and disorders (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and Hormonal Regulation and Hypertension (4 papers). The work is most often cited by research in Pharmacology (83 citations), Endocrinology, Diabetes and Metabolism (127 citations), Behavioral Neuroscience (27 citations), Biochemistry (50 citations) and Genetics (165 citations). G. Beck has collaborated with scholars based in France, Germany and Hungary. Frequent co-authors include Sylvette Chasserot‐Golaz, Jean‐Pierre Ebel, R. Röschenthaler, Geneviève Aubel‐Sadron, G. Dirheimer, A. Belarbi, M. Moguilewsky, M.M. Bouton, Tiiu Ojasoo and Fernand Labrie. Their work appears in journals such as FEBS Letters, Biochemical and Biophysical Research Communications, Biochimie, Nature and Biochemical Pharmacology.

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.

Explore authors with similar magnitude of impact