Paul Schedl

272 total papers · 14.0k total citations
210 papers, 11.4k citations indexed

About

Paul Schedl is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Paul Schedl has authored 210 papers receiving a total of 11.4k indexed citations (citations by other indexed papers that have themselves been cited), including 195 papers in Molecular Biology, 58 papers in Genetics and 46 papers in Plant Science. Recurrent topics in Paul Schedl's work include Genomics and Chromatin Dynamics (92 papers), RNA Research and Splicing (75 papers) and Developmental Biology and Gene Regulation (58 papers). Paul Schedl is often cited by papers focused on Genomics and Chromatin Dynamics (92 papers), RNA Research and Splicing (75 papers) and Developmental Biology and Gene Regulation (58 papers). Paul Schedl collaborates with scholars based in United States, Russia and Switzerland. Paul Schedl's co-authors include Thomas W. Cline, Rebecca Kellum, Jamila I. Horabin, Andor Udvardy, Girish Deshpande, Eleanor M. Maine, Leslie Bell, Kirsten Hagstrom, Eric Wieschaus and Martin Müller and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Paul Schedl

209 papers receiving 11.2k citations

Hit Papers

A position-effect assay f... 1990 2026 2002 2014 1991 1990 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Paul Schedl 10.1k 3.0k 2.3k 913 824 210 11.4k
William McGinnis 10.6k 1.1× 4.1k 1.4× 1.5k 0.6× 1.5k 1.6× 940 1.1× 107 12.3k
Anthony P. Mahowald 6.7k 0.7× 3.0k 1.0× 1.5k 0.6× 1.6k 1.7× 896 1.1× 130 9.2k
Alexander Stark 17.4k 1.7× 2.1k 0.7× 4.8k 2.1× 651 0.7× 1.1k 1.3× 121 20.3k
Eric C. Lai 17.1k 1.7× 1.6k 0.5× 3.4k 1.5× 1.2k 1.4× 1.5k 1.9× 198 21.2k
Walter J. Gehring 11.6k 1.1× 3.7k 1.2× 1.8k 0.8× 2.3k 2.5× 659 0.8× 122 13.6k
Matthew P. Scott 11.0k 1.1× 3.9k 1.3× 1.4k 0.6× 1.3k 1.5× 648 0.8× 81 12.6k
Michael Akam 7.8k 0.8× 3.3k 1.1× 2.0k 0.9× 1.8k 2.0× 628 0.8× 127 10.6k
William M Gelbart 8.3k 0.8× 1.7k 0.6× 1.6k 0.7× 1.3k 1.4× 560 0.7× 127 9.5k
Vincenzo Pirrotta 13.1k 1.3× 2.9k 1.0× 4.0k 1.7× 550 0.6× 572 0.7× 136 14.4k
Herbert Jäckle 11.7k 1.2× 2.9k 1.0× 1.7k 0.7× 2.7k 2.9× 973 1.2× 200 14.4k

Countries citing papers authored by Paul Schedl

Since Specialization
Citations

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

Fields of papers citing papers by Paul Schedl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Schedl

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