Jan Hilpert

1.8k citations
25 papers · 1.4k · h-index 14

Impact in

  • Nephrology top 2%
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies
    • Cellular transport and secretion

Papers in

Jan Hilpert

25 papers receiving 1.4k citations

Peers

Jan Hilpert
Comparison fields: 5 of 95
  • Nephrology 226
  • Cell Biology 209
  • Pathology and Forensic Medicine 157
  • Molecular Biology 629
  • Immunology and Allergy 51
Replace Susan C. Kiley with:
Susan C. Kiley United States
Ying Xu China
J. V. Bonventre United States
Paul T. Brinkkoetter Germany
Alex Gutsol Canada
Martha Konieczkowski United States
Martine Burtin France
Y. Frank Australia
Kathrin Weyer Denmark
Ming‐Jiang Xu China
Jan Hilpert relative to Susan C. Kiley United States Susan C. Kiley's profile →
Citations per field
00.5×4.5×
Susan C. Kiley · 1×
Citations per year

Countries citing papers authored by Jan Hilpert

Since Specialization
Citations

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

Fields of papers citing papers by Jan Hilpert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996407
2 1999349
3 2002166
4 199984
5 199952
6 199548
7 200246
8 200245
9 200143
10 202337
11 201429
12 201528
13 201326
14 200514
15 200813
16 202310
17 200110
18 20048
19 20238
20 20046

About Jan Hilpert

Jan Hilpert is a scholar working on Reproductive Medicine, Molecular Biology, Oncology, Physiology and Immunology, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ovarian function and disorders (4 papers), Alzheimer's disease research and treatments (2 papers), Hormonal and reproductive studies (2 papers), Protease and Inhibitor Mechanisms (2 papers), Hypothalamic control of reproductive hormones (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers) and Reproductive Biology and Fertility (2 papers). The work is most often cited by research in Nephrology (226 citations), Cell Biology (209 citations), Pathology and Forensic Medicine (157 citations), Molecular Biology (629 citations) and Immunology and Allergy (51 citations). Jan Hilpert has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Thomas E. Willnow, Christian Jacobsen, Dennis K. Burns, Astrid Rohlmann, Robert E. Hammer, Scott A. Armstrong, Joachim Herz, Erik Christensen, Anders Nykjær and Henrik Vorum. Their work appears in journals such as Journal of Biological Chemistry, Fertility and Sterility, PLoS ONE, Biochemical Journal and Journal of Neuroimmunology.

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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