W. A. Scherbaum

109 total papers · 2.0k total citations
76 papers, 1.4k citations indexed

About

W. A. Scherbaum is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, W. A. Scherbaum has authored 76 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Endocrinology, Diabetes and Metabolism, 24 papers in Genetics and 19 papers in Surgery. Recurrent topics in W. A. Scherbaum's work include Diabetes and associated disorders (22 papers), Pancreatic function and diabetes (14 papers) and Diabetes Management and Research (13 papers). W. A. Scherbaum is often cited by papers focused on Diabetes and associated disorders (22 papers), Pancreatic function and diabetes (14 papers) and Diabetes Management and Research (13 papers). W. A. Scherbaum collaborates with scholars based in Germany, United Kingdom and United States. W. A. Scherbaum's co-authors include Jochen Seißler, G. Adler, Bernhard O. Boehm, Monika Ehrhart‐Bornstein, S. Bornstein, J.A. González-Hernández, Michael Boehme, NG Morgenthaler, Wiltrud Richter and M. Schott and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and The Journal of Experimental Medicine.

In The Last Decade

W. A. Scherbaum

71 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
W. A. Scherbaum 641 400 365 233 223 76 1.4k
Yoko Murata 324 0.5× 439 1.1× 433 1.2× 113 0.5× 262 1.2× 77 1.7k
Enza Mozzillo 482 0.8× 516 1.3× 407 1.1× 331 1.4× 312 1.4× 90 1.6k
Bernhard Böhm 428 0.7× 324 0.8× 339 0.9× 259 1.1× 351 1.6× 68 1.7k
Sunao Matsubayashi 904 1.4× 286 0.7× 337 0.9× 197 0.8× 186 0.8× 83 1.6k
Tommaso Aversa 1.0k 1.6× 489 1.2× 198 0.5× 151 0.6× 303 1.4× 111 1.7k
Hajime Tamai 952 1.5× 546 1.4× 143 0.4× 367 1.6× 274 1.2× 77 1.8k
R Pelkonen 791 1.2× 188 0.5× 312 0.9× 88 0.4× 140 0.6× 59 1.3k
Yoshihiko Yamaguchi 856 1.3× 755 1.9× 666 1.8× 218 0.9× 541 2.4× 67 1.8k
Junji Takeyama 375 0.6× 357 0.9× 214 0.6× 113 0.5× 261 1.2× 41 1.4k
N. G. Morgenthaler 798 1.2× 313 0.8× 232 0.6× 142 0.6× 348 1.6× 50 1.8k

Countries citing papers authored by W. A. Scherbaum

Since Specialization
Citations

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

Fields of papers citing papers by W. A. Scherbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. A. Scherbaum

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