Paul Scholl

73 total papers · 3.6k total citations
38 papers, 2.4k citations indexed

About

Paul Scholl is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Paul Scholl has authored 38 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Immunology, 11 papers in Molecular Biology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Paul Scholl's work include T-cell and B-cell Immunology (12 papers), Toxin Mechanisms and Immunotoxins (11 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Paul Scholl is often cited by papers focused on T-cell and B-cell Immunology (12 papers), Toxin Mechanisms and Immunotoxins (11 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Paul Scholl collaborates with scholars based in United States, France and Canada. Paul Scholl's co-authors include Raif S. Geha, Talal A. Chatila, R S Geha, Sudha Visvanathan, Steven J. Padula, R S Geha, Mary Ellen Conley, Hans D. Ochs, Chandrasena Pamulapati and Jerry A. Winkelstein and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Paul Scholl

38 papers receiving 2.4k citations

Hit Papers

Risankizumab versus Ustek... 2017 2026 2020 2023 2017 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Paul Scholl 1.9k 354 334 314 293 38 2.4k
S Hudak 1.9k 1.0× 227 0.6× 180 0.5× 272 0.9× 592 2.0× 33 3.2k
Pierre Garrone 2.6k 1.4× 204 0.6× 290 0.9× 216 0.7× 602 2.1× 34 3.6k
Arnold I. Levinson 1.2k 0.6× 158 0.4× 267 0.8× 195 0.6× 321 1.1× 89 2.4k
Joyce Eskdale 1.8k 1.0× 187 0.5× 491 1.5× 181 0.6× 451 1.5× 46 3.0k
Fabio Almerigogna 1.8k 1.0× 229 0.6× 186 0.6× 118 0.4× 364 1.2× 61 2.9k
Kazimiera J. Gajl‐Peczalska 893 0.5× 196 0.6× 150 0.4× 447 1.4× 311 1.1× 40 3.2k
Wolfgang Dummer 2.7k 1.4× 583 1.6× 499 1.5× 283 0.9× 450 1.5× 56 3.9k
Ikuya Tsuge 1.6k 0.8× 309 0.9× 200 0.6× 268 0.9× 289 1.0× 87 3.0k
François Fossiez 2.8k 1.5× 398 1.1× 491 1.5× 284 0.9× 520 1.8× 24 3.9k
Jean‐Jacques Pin 3.2k 1.7× 385 1.1× 318 1.0× 173 0.6× 694 2.4× 37 4.2k

Countries citing papers authored by Paul Scholl

Since Specialization
Citations

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

Fields of papers citing papers by Paul Scholl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Scholl

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