M. Schauer

15 total papers · 406 total citations
7 papers, 121 citations indexed

About

M. Schauer is a scholar working on Surgery, Physiology and Molecular Biology. According to data from OpenAlex, M. Schauer has authored 7 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Physiology and 2 papers in Molecular Biology. Recurrent topics in M. Schauer's work include Erythrocyte Function and Pathophysiology (3 papers), Adrenal and Paraganglionic Tumors (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). M. Schauer is often cited by papers focused on Erythrocyte Function and Pathophysiology (3 papers), Adrenal and Paraganglionic Tumors (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). M. Schauer collaborates with scholars based in Germany and United Kingdom. M. Schauer's co-authors include Miguel Beato, Georges Chalepakis, S. Rapoport, R. Heinrich, Brigitte Rosenwirth, Andreas Billich, Sabine Herterich, Tanja Maier, Stefan Kircher and Isabel Weigand and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Endocrinology and Frontiers in Endocrinology.

In The Last Decade

M. Schauer

6 papers receiving 116 citations

Author Peers

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

Author Last Decade Papers Cites
M. Schauer 84 56 25 23 20 7 121
Dongkeun Jang 79 0.9× 57 1.0× 10 0.4× 24 1.0× 17 0.8× 9 169
Eva Milanesi 207 2.5× 79 1.4× 17 0.7× 12 0.5× 21 1.1× 6 281
Lisa D’Amato 172 2.0× 94 1.7× 21 0.8× 5 0.2× 11 0.6× 8 252
Nathaniel J. Schramm 59 0.7× 10 0.2× 15 0.6× 12 0.5× 14 0.7× 7 115
Michael Lopresti 110 1.3× 8 0.1× 16 0.6× 17 0.7× 30 1.5× 7 217
Amy Lacroix 79 0.9× 56 1.0× 59 2.4× 11 0.5× 21 1.1× 6 217
Mara Marongiu 129 1.5× 66 1.2× 22 0.9× 30 1.3× 20 1.0× 9 267
Betty Ha 179 2.1× 36 0.6× 24 1.0× 7 0.3× 20 1.0× 7 214
Lioudmila Elfineh 138 1.6× 37 0.7× 9 0.4× 21 0.9× 3 0.1× 9 230
Laura Buffa 82 1.0× 36 0.6× 9 0.4× 8 0.3× 4 0.2× 6 148

Countries citing papers authored by M. Schauer

Since Specialization
Citations

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

Fields of papers citing papers by M. Schauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Schauer

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