Karin Dahan

6.8k citations
71 papers · 3.2k indexed · 1 hit paper · h-index 26

Karin Dahan

68 papers receiving 3.1k citations

Hit Papers

NPHS2, encoding the glomerular protein podocin, is mutate...1.1k20002026200820172505007501000

Peers

Karin Dahan
Comparison fields: 5 of 98
  • Nephrology 1.6k
  • Immunology and Allergy 252
  • Genetics 759
  • Pathology and Forensic Medicine 433
  • Molecular Biology 1.6k
Replace Vera Eremina with:
Vera Eremina Canada
Hiroshi Kaito Japan
Isao Shirato Japan
Itaru Kihara Japan
Friedhelm Hildebrandt United States
Laura Massella Italy
Shuta Ishibe United States
Jaakko Patrakka Sweden
Meera Goyal United States
Daniel P. Gale United Kingdom
Karin Dahan relative to Vera Eremina Canada Vera Eremina's profile →
Citations per field
00.5×2.5×
Vera Eremina · 1×
Citations per year

Countries citing papers authored by Karin Dahan

Since Specialization
Citations

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

Fields of papers citing papers by Karin Dahan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202312
2 20230
3 202141
4 201867
5 2015107
6 201541
7 20145
8 20117
9 201183
10 201119
11 20105
12 200812
13 2007106
14 200611
15
A new class of mutations involved in Gitelman's syndrome affects the intrinsic activity of the Na-Cl cotransporter NCCT
20062
16 20054
17 2003161
18
Difficult genetic counseling in a family with pathogenic BRCA2 mutation.
20011
19 200167
20 199529

About Karin Dahan

Karin Dahan is a scholar working on Nephrology, Microbiology, Immunology and Allergy, Transplantation and Pathology and Forensic Medicine, having authored 71 papers that have together received 3.2k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (18 papers), Renal and related cancers (13 papers), Ion Transport and Channel Regulation (8 papers), Kidney Stones and Urolithiasis Treatments (7 papers), Genetic and Kidney Cyst Diseases (7 papers), Genetic factors in colorectal cancer (6 papers), Cell Adhesion Molecules Research (6 papers) and Gout, Hyperuricemia, Uric Acid (6 papers). The work is most often cited by research in Nephrology (1.6k citations), Immunology and Allergy (252 citations), Genetics (759 citations), Pathology and Forensic Medicine (433 citations) and Molecular Biology (1.6k citations). Karin Dahan has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Corinne Antignac, Marie-Claire Gübler, Arno Fuchshuber, Olivier Gribouval, Nicolas Boute, France Benessy, Séverine Roselli, Patrick Niaudet, Hyun Joo Lee and Olivier Devuyst. Their work appears in journals such as Nephrology Dialysis Transplantation, Journal of Medical Virology, Journal of the American Society of Nephrology, Kidney International and American Journal of Kidney 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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