Hermann Pavenstädt

10.2k citations
167 papers · 6.7k indexed · 1 hit paper · h-index 38

Hermann Pavenstädt

162 papers receiving 6.6k citations

Hit Papers

Effect of Early vs Delayed Initiation of Renal Replacemen...6412016202620192022200400600

Peers

Hermann Pavenstädt
Comparison fields: 5 of 143
  • Nephrology 1.9k
  • Transplantation 394
  • Critical Care and Intensive Care Medicine 301
  • Pathology and Forensic Medicine 782
  • Oncology 997
Replace Kimio Tomita with:
Kimio Tomita Japan
Hermann Pavenstädt Germany
Mark D. Okusa United States
Hermann Haller Germany
David H. Ellison United States
Manjeri A. Venkatachalam United States
Joseph P. Grande United States
Gert Mayer Austria
Günter Wolf Germany
David V. Milford United Kingdom
Hermann Pavenstädt relative to Kimio Tomita Japan Kimio Tomita's profile →
Citations per field
00.5×2.8×
Kimio Tomita · 1×
Citations per year

Countries citing papers authored by Hermann Pavenstädt

Since Specialization
Citations

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

Fields of papers citing papers by Hermann Pavenstädt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20242
4 20234
5 20222
6 20224
7 20226
8 20224
9 20223
10 202119
11 202114
12 202095
13 202053
14 201912
15 201915
16 201736
17 20175
18 201729
19 2012125
20 2006236

About Hermann Pavenstädt

Hermann Pavenstädt is a scholar working on Transplantation, Nephrology and Cell Biology, having authored 167 papers that have together received 6.7k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (24 papers), Renal Diseases and Glomerulopathies (17 papers), Hippo pathway signaling and YAP/TAZ (17 papers), Drug Transport and Resistance Mechanisms (16 papers), Pharmacological Effects and Toxicity Studies (14 papers), Renal and related cancers (13 papers), Ion Transport and Channel Regulation (11 papers) and Organ Transplantation Techniques and Outcomes (8 papers). The work is most often cited by research in Nephrology (1.9k citations), Transplantation (394 citations) and Critical Care and Intensive Care Medicine (301 citations). Hermann Pavenstädt has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Eberhard Schlatter, Giuliano Ciarimboli, Alexander Zarbock, Melanie Meersch, Hugo Van Aken, Detlef Lang, John A. Kellum, Carola Wempe, C. G. Schmidt and Joachim Gerß. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.

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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