Fee Bengsch

29 total papers · 921 total citations
10 papers, 736 citations indexed

About

Fee Bengsch is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Fee Bengsch has authored 10 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Fee Bengsch's work include Protease and Inhibitor Mechanisms (3 papers), Ubiquitin and proteasome pathways (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Fee Bengsch is often cited by papers focused on Protease and Inhibitor Mechanisms (3 papers), Ubiquitin and proteasome pathways (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Fee Bengsch collaborates with scholars based in Germany, United States and China. Fee Bengsch's co-authors include Gregory L. Beatty, Hengrui Zhu, Rugang Zhang, Michael J. Allegrezza, Yuhki Yokoyama, Andrew V. Kossenkov, Benjamin G. Bitler, Melanie R. Rutkowski, James E. Bradner and Nikolaos Svoronos and has published in prestigious journals such as Oncogene, Cell Reports and Molecular & Cellular Proteomics.

In The Last Decade

Fee Bengsch

9 papers receiving 733 citations

Author Peers

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

Author						Papers	Cites
Fee Bengsch	400	352	245	130	74	10	736
Marsha Grattan	315 0.8×	381 1.1×	255 1.0×	185 1.4×	48 0.6×	12	870
Michael Timaner	355 0.9×	299 0.8×	232 0.9×	171 1.3×	99 1.3×	20	751
Stephen I. Rudnick	268 0.7×	390 1.1×	164 0.7×	52 0.4×	64 0.9×	11	794
Kelly Foley	356 0.9×	335 1.0×	266 1.1×	123 0.9×	33 0.4×	14	694
Joseph Clara	315 0.8×	352 1.0×	151 0.6×	182 1.4×	49 0.7×	12	631
Julie F. Cheung	418 1.0×	269 0.8×	265 1.1×	215 1.7×	45 0.6×	11	714
Zhi-Chun Ding	326 0.8×	249 0.7×	360 1.5×	121 0.9×	60 0.8×	14	749
Lynsey A. Huxham	299 0.7×	276 0.8×	195 0.8×	147 1.1×	133 1.8×	15	804
Gaia Barisione	294 0.7×	269 0.8×	449 1.8×	97 0.7×	35 0.5×	16	805
Gaia Cantelli	234 0.6×	408 1.2×	129 0.5×	133 1.0×	48 0.6×	12	818

Countries citing papers authored by Fee Bengsch

Since Specialization

Citations

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

Fields of papers citing papers by Fee Bengsch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fee Bengsch

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