Jan Aten

104 papers receiving 5.2k citations

Hit Papers

Mutations in the MDR 3 gene cause progressive familial intrahepatic cholestasis 1998 · 528 citations
5281998202620072016100200300400500

Peers

Jan Aten
Comparison fields: 5 of 113
  • Nephrology 728
  • Immunology 990
  • Molecular Biology 2.4k
  • Hepatology 261
  • Physiology 800
Replace Elsa Sánchez‐López with:
Elsa Sánchez‐López Spain
Gilbert Moeckel United States
Mary E. Choi United States
Emile de Heer Netherlands
Jeffrey L. Barnes United States
Yunchao Su United States
Tammo Ostendorf Germany
Sharon D. Ricardo Australia
Jan Hinrich Bräsen Germany
Hans J. Baelde Netherlands
Jan Aten relative to Elsa Sánchez‐López Spain Elsa Sánchez‐López's profile →
Citations per field
00.5×1.5×1.8×
Elsa Sánchez‐López · 1×
Citations per year

Countries citing papers authored by Jan Aten

Since Specialization
Citations

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

Fields of papers citing papers by Jan Aten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202020
2 201911
3 201425
4 201312
5 201152
6 2010194
7 2008112
8 2006108
9 200612
10 200497
11 200341
12 200334
13 200110
14 20015
15 200058
16 200056
17 1998492
18 19973
19 19959
20 199149

About Jan Aten

Jan Aten is a scholar working on Nephrology, Immunology and Allergy, Immunology, Pathology and Forensic Medicine and Physiology, having authored 104 papers that have together received 5.3k indexed citations. Recurring topics across this work include Connective Tissue Growth Factor Research (20 papers), T-cell and B-cell Immunology (19 papers), Systemic Sclerosis and Related Diseases (17 papers), Lysosomal Storage Disorders Research (12 papers), Carbohydrate Chemistry and Synthesis (10 papers), Cell Adhesion Molecules Research (9 papers), Immune Response and Inflammation (8 papers) and Immune Cell Function and Interaction (7 papers). The work is most often cited by research in Nephrology (728 citations), Immunology (990 citations), Molecular Biology (2.4k citations), Hepatology (261 citations) and Physiology (800 citations). Jan Aten has collaborated with scholars based in Netherlands, Japan and United States. Frequent co-authors include Jan J. Weening, Roel Goldschmeding, Yasuhiko Ito, Ton J. Rabelink, Richard J. Bende, Nike Claessen, Johannes M. F. G. Aerts, Barry S. Oemar, Roelof Ottenhoff and Ronald P.J. Oude Elferink. Their work appears in journals such as Kidney International, Journal of the American Society of Nephrology, American Journal of Physiology-Renal Physiology, Nephrology Dialysis Transplantation and PLoS ONE.

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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