Eric S. Fischer

269 total papers · 13.5k total citations
117 papers, 6.6k citations indexed

About

Eric S. Fischer is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Eric S. Fischer has authored 117 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Molecular Biology, 27 papers in Oncology and 17 papers in Hematology. Recurrent topics in Eric S. Fischer's work include Protein Degradation and Inhibitors (78 papers), Ubiquitin and proteasome pathways (63 papers) and Peptidase Inhibition and Analysis (18 papers). Eric S. Fischer is often cited by papers focused on Protein Degradation and Inhibitors (78 papers), Ubiquitin and proteasome pathways (63 papers) and Peptidase Inhibition and Analysis (18 papers). Eric S. Fischer collaborates with scholars based in United States, Switzerland and Germany. Eric S. Fischer's co-authors include Katherine A. Donovan, Nathanael S. Gray, Radosław P. Nowak, Nicolas H. Thomä, Tinghu Zhang, Georg Petzold, Benjamin L. Ebert, Baishan Jiang, Eric S. Wang and Yanke Liang and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Eric S. Fischer

109 papers receiving 6.5k citations

Hit Papers

Plasticity in binding con... 2016 2026 2019 2022 2018 2016 2017 2017 2018 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Eric S. Fischer 5.8k 2.2k 1.3k 427 331 117 6.6k
Yimin Qian 4.9k 0.8× 2.3k 1.0× 1.1k 0.8× 225 0.5× 395 1.2× 72 5.9k
Michael Kauffman 4.3k 0.7× 1.8k 0.8× 1.7k 1.3× 285 0.7× 170 0.5× 189 5.6k
Celia R. Berkers 3.9k 0.7× 1.4k 0.6× 688 0.5× 706 1.7× 281 0.8× 75 5.3k
James E. Bradner 3.6k 0.6× 1.3k 0.6× 790 0.6× 399 0.9× 186 0.6× 63 4.5k
Tinghu Zhang 5.3k 0.9× 2.2k 1.0× 715 0.6× 339 0.8× 786 2.4× 81 6.6k
David J. Bearss 4.9k 0.8× 1.5k 0.7× 456 0.4× 652 1.5× 306 0.9× 114 6.5k
Warren Fiskus 5.1k 0.9× 1.2k 0.5× 1.7k 1.3× 509 1.2× 194 0.6× 141 6.3k
Joel Johansson 4.8k 0.8× 1.9k 0.9× 1.2k 0.9× 839 2.0× 294 0.9× 101 6.5k
Mónica L. Guzmán 4.2k 0.7× 2.2k 1.0× 2.2k 1.7× 1.1k 2.5× 298 0.9× 150 7.4k
Mohamed Rahmani 3.9k 0.7× 1.4k 0.6× 1.2k 0.9× 586 1.4× 264 0.8× 95 5.6k

Countries citing papers authored by Eric S. Fischer

Since Specialization
Citations

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

Fields of papers citing papers by Eric S. Fischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric S. Fischer. 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 Eric S. Fischer. The network helps show where Eric S. Fischer may publish in the future.

Co-authorship network of co-authors of Eric S. Fischer

This figure shows the co-authorship network connecting the top 25 collaborators of Eric S. Fischer. A scholar is included among the top collaborators of Eric S. Fischer 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 Eric S. Fischer. Eric S. Fischer 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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