Floris Chabrun

27 papers receiving 382 citations

Peers

Floris Chabrun
Comparison fields: 5 of 43
  • Rheumatology 40
  • Health Informatics 5
  • Obstetrics and Gynecology 15
  • Hematology 19
  • Genetics 9
Replace Wai‐Kwan Lam‐Tse with:
Wai‐Kwan Lam‐Tse Netherlands
Natasha M. Fewkes United States
Szu-Yu Kuo Taiwan
Srilakshmi M. Sharma United Kingdom
Anjeung Kang Switzerland
Neda M. Bogari Saudi Arabia
Shirley Heggarty United Kingdom
Lauren P. Schewitz‐Bowers United Kingdom
Matthew Falkowski United States
Susan A. Kuldanek United States
Floris Chabrun relative to Wai‐Kwan Lam‐Tse Netherlands Wai‐Kwan Lam‐Tse's profile →
Citations per field
00.5×2×4×6×7.5×
Wai‐Kwan Lam‐Tse · 1×
Citations per year

Countries citing papers authored by Floris Chabrun

Since Specialization
Citations

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

Fields of papers citing papers by Floris Chabrun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202160
2 201948
3 202139
4 202022
5 202122
6 202121
7 202220
8 202019
9 202017
10 201814
11 201914
12 202312
13 202010
14 202110
15 20239
16 20257
17 20206
18 20216
19 20236
20 20236

About Floris Chabrun

Floris Chabrun is a scholar working on Hematology, Genetics, Rheumatology, Molecular Biology and Health Information Management, having authored 29 papers that have together received 386 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (4 papers), Folate and B Vitamins Research (2 papers), Salivary Gland Disorders and Functions (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Multiple Myeloma Research and Treatments (2 papers), Pregnancy and preeclampsia studies (1 paper), Mitochondrial Function and Pathology (1 paper) and Acute Kidney Injury Research (1 paper). The work is most often cited by research in Rheumatology (40 citations), Health Informatics (5 citations), Obstetrics and Gynecology (15 citations), Hematology (19 citations) and Genetics (9 citations). Floris Chabrun has collaborated with scholars based in France, United States and Poland. Frequent co-authors include G. Urbanski, Pascal Reynier, Valentin Lacombe, Christian Lavigne, Juan Manuel Chao de la Barca, Delphine Mirebeau‐Prunier, Carole Lacout, Gilles Simard, Franck Geneviève and Guy Lenaers. Their work appears in journals such as Scientific Reports, Journal of Clinical Medicine, Journal of Proteome Research, Clinical Chemistry and Laboratory Medicine (CCLM) and American Journal of Hematology.

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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