C. Plas

698 citations
37 papers · 591 · h-index 14

Impact in

Papers in

C. Plas

36 papers receiving 550 citations

Peers

C. Plas
Comparison fields: 5 of 75
  • Endocrinology, Diabetes and Metabolism 213
  • Clinical Biochemistry 90
  • Hepatology 52
  • Surgery 257
  • Biochemistry 38
Replace José Antonio Arranz with:
José Antonio Arranz Spain
Louie G. Linarelli United States
Núria Matías Spain
Angela Scipioni Italy
Jung Yeon Ghee South Korea
Arthur R. Colwell United States
Mark M. Danney United States
Renold Ae
Akira Matsutani Japan
Jean-Marie Saudubray France
C. Plas relative to José Antonio Arranz Spain José Antonio Arranz's profile →
Citations per field
00.5×3.3×
José Antonio Arranz · 1×
Citations per year

Countries citing papers authored by C. Plas

Since Specialization
Citations

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

Fields of papers citing papers by C. Plas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside C. Plas, 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 C. Plas Line = papers co-authored together C. Plas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197570
2 197369
3 197659
4 198234
5 198034
6 199430
7 197930
8 198124
9 199623
10 199915
11 198515
12 199615
13 199113
14 198613
15 199512
16 198211
17 198311
18 199110
19 198510
20 199610

About C. Plas

C. Plas is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Clinical Biochemistry and Pediatrics, Perinatology and Child Health, having authored 37 papers that have together received 591 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (22 papers), Metabolism and Genetic Disorders (12 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (11 papers), Metabolism, Diabetes, and Cancer (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Folate and B Vitamins Research (3 papers), Diabetes Management and Research (3 papers) and Heat shock proteins research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (213 citations), Clinical Biochemistry (90 citations), Hepatology (52 citations), Surgery (257 citations) and Biochemistry (38 citations). C. Plas has collaborated with scholars based in France, Netherlands and Japan. Frequent co-authors include J. Núñez, R Jacquot, Maurice L.J. Moncany, François Chapeville, Jean‐Luc Zachayus, Bernard Desbuquois, Eric Pringault, Nadine Forest, Fani Anagnostou and Gisèle Cherqui. Their work appears in journals such as Biochemical Journal, Endocrinology, Journal of Cellular Biochemistry, Journal of Biological Chemistry and Molecular and Cellular Endocrinology.

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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