Frank Stappenbeck

39 total papers · 595 total citations
25 papers, 413 citations indexed

About

Frank Stappenbeck is a scholar working on Organic Chemistry, Molecular Biology and Surgery. According to data from OpenAlex, Frank Stappenbeck has authored 25 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Organic Chemistry, 9 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Frank Stappenbeck's work include Hedgehog Signaling Pathway Studies (6 papers), Epigenetics and DNA Methylation (4 papers) and Alkaloids: synthesis and pharmacology (4 papers). Frank Stappenbeck is often cited by papers focused on Hedgehog Signaling Pathway Studies (6 papers), Epigenetics and DNA Methylation (4 papers) and Alkaloids: synthesis and pharmacology (4 papers). Frank Stappenbeck collaborates with scholars based in United States, Japan and France. Frank Stappenbeck's co-authors include James D. White, Peter Hrnčiar, Farhad Parhami, Larry E. Overman, Donald S. Coffey, Ruo W. Steensma, Paul A. Sprengeler, Melissa S. Wong, Gavin C. Hirst and Stephen Antonysamy and has published in prestigious journals such as Journal of the American Chemical Society, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Frank Stappenbeck

25 papers receiving 399 citations

Author Peers

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

Author Last Decade Papers Cites
Frank Stappenbeck 183 148 68 62 57 25 413
Tao Yang 101 0.6× 189 1.3× 43 0.6× 19 0.3× 115 2.0× 37 441
Thomas Maduskuie 129 0.7× 209 1.4× 47 0.7× 93 1.5× 93 1.6× 22 476
Qingliang Yang 139 0.8× 119 0.8× 21 0.3× 12 0.2× 37 0.6× 18 419
Sabine Stehling 84 0.5× 201 1.4× 28 0.4× 18 0.3× 37 0.6× 26 407
Joseph A. Tino 172 0.9× 166 1.1× 25 0.4× 16 0.3× 35 0.6× 27 465
Junru Zhang 57 0.3× 256 1.7× 26 0.4× 30 0.5× 45 0.8× 23 454
Amanda Esch 87 0.5× 197 1.3× 49 0.7× 13 0.2× 120 2.1× 19 469
Colin J. Theobald 142 0.8× 243 1.6× 108 1.6× 9 0.1× 33 0.6× 18 465
Kevin P. Cusack 188 1.0× 194 1.3× 27 0.4× 35 0.6× 32 0.6× 20 376
Dariusz Kuśmierz 146 0.8× 181 1.2× 26 0.4× 23 0.4× 20 0.4× 29 395

Countries citing papers authored by Frank Stappenbeck

Since Specialization
Citations

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

Fields of papers citing papers by Frank Stappenbeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Stappenbeck

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