Paul Schedl

14.1k citations
210 papers · 11.5k indexed · 2 hit papers · h-index 61
Topics
Genomics and Chromatin Dynamics (92 papers)RNA Research and Splicing (75 papers)Developmental Biology and Gene Regulation (57 papers)

In The Last Decade

Paul Schedl

209 papers receiving 11.2k citations

Hit Papers

A position-effect assay for boundaries of higher order ch...199020262002201419911990100200300400500

Peers

Paul Schedl
Comparison fields: 5 of 125
  • Molecular Biology 10.1k
  • Genetics 3.0k
  • Plant Science 2.3k
  • Cellular and Molecular Neuroscience 915
  • Immunology 829
Replace Alexander Stark with:
Alexander Stark Austria
Walter J. Gehring Switzerland
Herbert Jäckle Germany
Mariann Bienz United Kingdom
William M Gelbart United States
Markus Noll Switzerland
Stephen DiNardo United States
Bruce A. Hay United States
David Ish‐Horowicz United Kingdom
Daniel Kalderon United States
Paul Schedl relative to Alexander Stark Austria Alexander Stark's profile →
Citations per field
00.5×1.5×
Alexander Stark · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 2
2 6
3 2
4 11
5 3
6 6
7 6
8 4
9 1
10 4
11 31
12 11
13 48
14 37
15 12
16 14
17 145
18 42
19 10
20 30

About Paul Schedl

Paul Schedl is a scholar working on Aging, Molecular Biology and Genetics, having authored 210 papers that have together received 11.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (92 papers), RNA Research and Splicing (75 papers) and Developmental Biology and Gene Regulation (57 papers). The work is most often cited by research in Aging (418 citations), Molecular Biology (10.1k citations) and Genetics (3.0k citations). Paul Schedl has collaborated with scholars based in United States, Russia and Switzerland. Frequent co-authors include Thomas W. Cline, Rebecca Kellum, Jamila I. Horabin, Girish Deshpande, Andor Udvardy, Eleanor M. Maine, Leslie Bell, Kirsten Hagstrom, Eric Wieschaus and Martin Müller. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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