Sven Huelsmann

13 total papers · 678 total citations
10 papers, 374 citations indexed

About

Sven Huelsmann is a scholar working on Cell Biology, Molecular Biology and Immunology. According to data from OpenAlex, Sven Huelsmann has authored 10 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cell Biology, 5 papers in Molecular Biology and 2 papers in Immunology. Recurrent topics in Sven Huelsmann's work include Cellular Mechanics and Interactions (7 papers), Skin and Cellular Biology Research (3 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Sven Huelsmann is often cited by papers focused on Cellular Mechanics and Interactions (7 papers), Skin and Cellular Biology Research (3 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Sven Huelsmann collaborates with scholars based in United Kingdom, Finland and Germany. Sven Huelsmann's co-authors include Nicholas H. Brown, Cédric Polesello, Nicolas Tapon, Jari Ylänne, Rolf Reuter, Ritika Sethi, Małgorzata Daczewska, Teresa Jagla, Ouarda Taghli-Lamallem and Yoan Renaud and has published in prestigious journals such as Development, Current Biology and Scientific Reports.

In The Last Decade

Sven Huelsmann

10 papers receiving 370 citations

Author Peers

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

Author Last Decade Papers Cites
Sven Huelsmann 253 215 63 43 24 10 374
Lukas Schwintzer 205 0.8× 255 1.2× 84 1.3× 22 0.5× 9 0.4× 12 381
T Crowley 201 0.8× 267 1.2× 25 0.4× 53 1.2× 9 0.4× 6 415
Till Matzat 120 0.5× 188 0.9× 165 2.6× 46 1.1× 13 0.5× 12 401
Marla Tipping 128 0.5× 204 0.9× 71 1.1× 44 1.0× 13 0.5× 13 346
Simon Wang 164 0.6× 245 1.1× 72 1.1× 32 0.7× 12 0.5× 18 367
Susanne‐Filiz Önel 223 0.9× 313 1.5× 59 0.9× 27 0.6× 7 0.3× 18 401
Izabela Rasmussen 84 0.3× 155 0.7× 52 0.8× 52 1.2× 14 0.6× 8 404
Michel Souchet 132 0.5× 303 1.4× 26 0.4× 41 1.0× 10 0.4× 10 406
Alicia E. Rosales‐Nieves 172 0.7× 259 1.2× 54 0.9× 40 0.9× 3 0.1× 13 390
Teresa Bonello 223 0.9× 260 1.2× 30 0.5× 31 0.7× 4 0.2× 13 427

Countries citing papers authored by Sven Huelsmann

Since Specialization
Citations

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

Fields of papers citing papers by Sven Huelsmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Huelsmann

This figure shows the co-authorship network connecting the top 25 collaborators of Sven Huelsmann. A scholar is included among the top collaborators of Sven Huelsmann 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 Sven Huelsmann. Sven Huelsmann 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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