Markus W. Wendeler

16 total papers · 873 total citations
12 papers, 676 citations indexed

About

Markus W. Wendeler is a scholar working on Molecular Biology, Cell Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Markus W. Wendeler has authored 12 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Cell Biology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Markus W. Wendeler's work include Cellular transport and secretion (5 papers), Wnt/β-catenin signaling in development and cancer (5 papers) and Skin and Cellular Biology Research (3 papers). Markus W. Wendeler is often cited by papers focused on Cellular transport and secretion (5 papers), Wnt/β-catenin signaling in development and cancer (5 papers) and Skin and Cellular Biology Research (3 papers). Markus W. Wendeler collaborates with scholars based in Switzerland, Germany and United States. Markus W. Wendeler's co-authors include Hans‐Peter Hauri, Jean‐Pierre Paccaud, Carine Gaiser, Reinhard Geßner, Hesso Farhan, Marino Zerial, Roded Sharan, Sandra Mitrović, Eugenio Fava and Yael Silberberg and has published in prestigious journals such as The Journal of Cell Biology, Journal of Molecular Biology and The FASEB Journal.

In The Last Decade

Markus W. Wendeler

12 papers receiving 666 citations

Author Peers

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

Author Last Decade Papers Cites
Markus W. Wendeler 439 418 86 66 66 12 676
Glenn C. Simon 407 0.9× 537 1.3× 105 1.2× 67 1.0× 42 0.6× 12 713
Deepti Domingo 452 1.0× 349 0.8× 135 1.6× 75 1.1× 58 0.9× 11 660
James P. Zewe 459 1.0× 389 0.9× 76 0.9× 80 1.2× 41 0.6× 14 727
Varsha Patki 606 1.4× 532 1.3× 106 1.2× 106 1.6× 61 0.9× 8 781
Hui-Qiao Sun 462 1.1× 437 1.0× 81 0.9× 53 0.8× 102 1.5× 10 735
Sai Srinivas Panapakkam Giridharan 507 1.2× 500 1.2× 103 1.2× 91 1.4× 50 0.8× 18 758
Teodoro Pulvirenti 458 1.0× 401 1.0× 51 0.6× 53 0.8× 54 0.8× 10 654
Prajakta Gosavi 398 0.9× 366 0.9× 68 0.8× 53 0.8× 29 0.4× 18 644
Jorge Larios 503 1.1× 231 0.6× 76 0.9× 26 0.4× 70 1.1× 8 658
Johanne Matheson 383 0.9× 505 1.2× 147 1.7× 60 0.9× 105 1.6× 8 718

Countries citing papers authored by Markus W. Wendeler

Since Specialization
Citations

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

Fields of papers citing papers by Markus W. Wendeler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus W. Wendeler. 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 Markus W. Wendeler. The network helps show where Markus W. Wendeler may publish in the future.

Co-authorship network of co-authors of Markus W. Wendeler

This figure shows the co-authorship network connecting the top 25 collaborators of Markus W. Wendeler. A scholar is included among the top collaborators of Markus W. Wendeler 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 Markus W. Wendeler. Markus W. Wendeler 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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