J Desgrès

1.4k citations
46 papers · 1.2k · h-index 21

Impact in

Papers in

J Desgrès

46 papers receiving 1.1k citations

Peers

J Desgrès
Comparison fields: 5 of 80
  • Clinical Biochemistry 78
  • Molecular Biology 669
  • Behavioral Neuroscience 19
  • Virology 19
  • Spectroscopy 67
Replace Daniel R. Biou with:
Daniel R. Biou France
Pangala V. Bhat Canada
Sabine Angermüller Germany
P Cartier France
Xinfang Lu United States
Soo‐Han Bae South Korea
Laure Thuillier France
Arthur W. Kruski United States
Anna Casu United States
Stephen M. Storey United States
J Desgrès relative to Daniel R. Biou France Daniel R. Biou's profile →
Citations per field
00.5×5×10.5×
Daniel R. Biou · 1×
Citations per year

Countries citing papers authored by J Desgrès

Since Specialization
Citations

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

Fields of papers citing papers by J Desgrès

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994145
2 2000136
3 199798
4 198965
5 197962
6 198956
7 198947
8 197543
9 199036
10 200133
11 200332
12 200430
13 199128
14 200328
15 199027
16 199427
17 199224
18 199724
19 200524
20 199021

About J Desgrès

J Desgrès is a scholar working on Clinical Biochemistry, Spectroscopy, Molecular Biology, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (12 papers), Analytical Chemistry and Chromatography (9 papers), RNA modifications and cancer (8 papers), Metabolism and Genetic Disorders (7 papers), Steroid Chemistry and Biochemistry (4 papers), Adrenal Hormones and Disorders (4 papers), Dialysis and Renal Disease Management (4 papers) and Acute Myocardial Infarction Research (3 papers). The work is most often cited by research in Clinical Biochemistry (78 citations), Molecular Biology (669 citations), Behavioral Neuroscience (19 citations), Virology (19 citations) and Spectroscopy (67 citations). J Desgrès has collaborated with scholars based in France, United States and Sweden. Frequent co-authors include Gérard Keith, Anne-Lise Glasser, Prudent Padieu, Annie Costa, Charles W. Gehrke, Jean Vandenhaute, Jean Delcour, Denis L. J. Lafontaine, Jean-Paul Paı̈s de Barros and Kenneth C. Kuo. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry, Clinica Chimica Acta, FEBS Letters and Journal of Lipid Research.

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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