F. Guignier

24 papers receiving 377 citations

Peers

F. Guignier
Comparison fields: 5 of 48
  • Transplantation 216
  • Nephrology 52
  • Immunology 89
  • Hematology 37
  • Surgery 110
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Nori Sasaki United States
Lam Chin Tan United Kingdom
Paul Warner United States
Eva Santos‐Nunez United Kingdom
Carsten Brockmeyer Germany
Günther F. Hillebrand Germany
Frans H. J. Claas Netherlands
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Iman Hamour United Kingdom
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Citations per year

Countries citing papers authored by F. Guignier

Since Specialization
Citations

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

Fields of papers citing papers by F. Guignier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003117
2 200552
3 200540
4
Elevated serum CA19-9 levels in poorly controlled diabetic patients. Relationship with Lewis blood group.
199428
5 200722
6 198921
7 200920
8 200017
9 198511
10
Hypertriglyceridaemia and Lewis (A-B-) phenotype in non-insulin-dependent diabetic patients.
199710
11 19909
12 19939
13 20058
14 19976
15 19975
16 19815
17 19884
18 20064
19 19923
20
Déleucocytation en système clos des concentrés de globules rouges humains: Une technique associant l'extraction automatisée du buffy-coat à la connexion stérile d'un kit de filtration
19893

About F. Guignier

F. Guignier is a scholar working on Hematology, Immunology, Transplantation, Nephrology and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 400 indexed citations. Recurring topics across this work include Blood groups and transfusion (6 papers), Renal Transplantation Outcomes and Treatments (6 papers), T-cell and B-cell Immunology (4 papers), Blood transfusion and management (4 papers), Renal Diseases and Glomerulopathies (4 papers), Diabetes and associated disorders (2 papers), Vasculitis and related conditions (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Transplantation (216 citations), Nephrology (52 citations), Immunology (89 citations), Hematology (37 citations) and Surgery (110 citations). F. Guignier has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Christiane Mousson, Laurent Martin, Gérard Rifle, E Justrabo, David Rageot, Philippe d’Athis, Pierre Richaud, Pierre Chatelain, G Vaillant and Mathilde Funes de la Vega. Their work appears in journals such as Transplantation, Vox Sanguinis, Transplant Immunology, Hormone and Metabolic Research and European Journal of Clinical Microbiology & Infectious Diseases.

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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