G Schütz

8 total papers · 780 total citations
6 papers, 640 citations indexed

About

G Schütz is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, G Schütz has authored 6 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Cell Biology. Recurrent topics in G Schütz's work include Animal Genetics and Reproduction (3 papers), melanin and skin pigmentation (2 papers) and RNA and protein synthesis mechanisms (2 papers). G Schütz is often cited by papers focused on Animal Genetics and Reproduction (3 papers), melanin and skin pigmentation (2 papers) and RNA and protein synthesis mechanisms (2 papers). G Schütz collaborates with scholars based in Germany, Switzerland and United States. G Schütz's co-authors include Friedrich Beermann, Ruth Ganß, Edith Hümmler, Julie A. Blendy, Wolfgang Schmid, Adriano Aguzzi, E Schmid, Michael Klüppel, S Ruppert and Edda Thies and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

G Schütz

6 papers receiving 614 citations

Author Peers

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

Author Last Decade Papers Cites
G Schütz 415 181 168 155 117 6 640
P.V. Krishna Pant 378 0.9× 273 1.5× 172 1.0× 122 0.8× 74 0.6× 6 742
Bianca Vaida 371 0.9× 115 0.6× 119 0.7× 251 1.6× 50 0.4× 14 688
Jen‐i Mao 501 1.2× 124 0.7× 194 1.2× 64 0.4× 34 0.3× 8 686
Shuh‐Yow Lin 496 1.2× 96 0.5× 244 1.5× 144 0.9× 22 0.2× 7 710
Imilce A. Rodriguez‐Fernandez 296 0.7× 113 0.6× 105 0.6× 107 0.7× 28 0.2× 11 605
Hamish E. Ward 299 0.7× 137 0.8× 85 0.5× 195 1.3× 38 0.3× 10 555
Kimberly Snyder 400 1.0× 158 0.9× 62 0.4× 322 2.1× 34 0.3× 9 740
Zhengdong Qu 298 0.7× 133 0.7× 91 0.5× 101 0.7× 28 0.2× 14 639
Marta Cantero 384 0.9× 55 0.3× 121 0.7× 113 0.7× 47 0.4× 15 575
Hiroko Yokoe 394 0.9× 109 0.6× 104 0.6× 153 1.0× 23 0.2× 7 617

Countries citing papers authored by G Schütz

Since Specialization
Citations

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

Fields of papers citing papers by G Schütz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Schütz

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