Claudia Schrimpf

48 total papers · 1.4k total citations
36 papers, 1.1k citations indexed

About

Claudia Schrimpf is a scholar working on Surgery, Molecular Biology and Nephrology. According to data from OpenAlex, Claudia Schrimpf has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 12 papers in Molecular Biology and 7 papers in Nephrology. Recurrent topics in Claudia Schrimpf's work include Electrospun Nanofibers in Biomedical Applications (6 papers), Chronic Kidney Disease and Diabetes (6 papers) and Angiogenesis and VEGF in Cancer (5 papers). Claudia Schrimpf is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (6 papers), Chronic Kidney Disease and Diabetes (6 papers) and Angiogenesis and VEGF in Cancer (5 papers). Claudia Schrimpf collaborates with scholars based in Germany, United States and Switzerland. Claudia Schrimpf's co-authors include Jeremy S. Duffield, Shuei‐Liong Lin, Mathias Wilhelmi, Omke E. Teebken, Wen‐Chih Chiang, Yung‐Ming Chen, Jeremy S. Duffield, Yujiro Kida, Nicholas Ieronimakis and Morayma Reyes and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Claudia Schrimpf

35 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Claudia Schrimpf 452 328 220 204 122 36 1.1k
Eckhard Schulze-Lohoff 474 1.0× 286 0.9× 149 0.7× 170 0.8× 115 0.9× 42 1.4k
Lucas L. Falke 585 1.3× 320 1.0× 141 0.6× 125 0.6× 61 0.5× 26 1.2k
Flávia G. Machado 681 1.5× 341 1.0× 268 1.2× 264 1.3× 176 1.4× 19 1.4k
Susanne Fleig 686 1.5× 193 0.6× 226 1.0× 287 1.4× 129 1.1× 29 1.4k
Kaoru Yasuda 475 1.1× 284 0.9× 160 0.7× 423 2.1× 149 1.2× 37 1.2k
Andrew F. Malone 413 0.9× 382 1.2× 133 0.6× 262 1.3× 47 0.4× 35 1.1k
Claudia R.C. van Roeyen 466 1.0× 393 1.2× 141 0.6× 193 0.9× 55 0.5× 27 1.2k
Manfred Weber 432 1.0× 321 1.0× 133 0.6× 90 0.4× 99 0.8× 40 1.2k
Nadine Kaesler 210 0.5× 413 1.3× 150 0.7× 164 0.8× 198 1.6× 26 1.1k
Maddalena Gigante 304 0.7× 345 1.1× 162 0.7× 189 0.9× 34 0.3× 44 932

Countries citing papers authored by Claudia Schrimpf

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Schrimpf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Schrimpf

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Schrimpf. A scholar is included among the top collaborators of Claudia Schrimpf based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Claudia Schrimpf. Claudia Schrimpf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026