Paul Schedl

14.1k total citations · 2 hit papers
210 papers, 11.5k 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 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 194 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 (57 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 (57 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, Girish Deshpande, Andor Udvardy, 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 for boundaries of higher order ch... 1990 2026 2002 2014 1991 1990 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A position-effect assay for boundaries of higher order chromosomal domains
    1991 532 citations Paul Schedl et al. profile →
  2. Spatial expression of the Drosophila segment polarity gene armadillo is posttranscriptionally regulated by wingless
    1990 330 citations Paul Schedl et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Paul Schedl United States 61 10.1k 3.0k 2.3k 915 829 210 11.5k
Alexander Stark Austria 61 17.4k 1.7× 2.1k 0.7× 4.8k 2.1× 654 0.7× 1.1k 1.3× 122 20.4k
Walter J. Gehring Switzerland 57 11.6k 1.1× 3.7k 1.2× 1.8k 0.8× 2.3k 2.5× 661 0.8× 122 13.6k
William M Gelbart United States 52 8.2k 0.8× 1.7k 0.6× 1.5k 0.7× 1.3k 1.4× 553 0.7× 126 9.4k
Anthony P. Mahowald United States 58 6.7k 0.7× 3.0k 1.0× 1.5k 0.6× 1.6k 1.7× 897 1.1× 130 9.3k
Walter J. Gehring Switzerland 42 7.5k 0.7× 2.8k 0.9× 1.2k 0.5× 1.4k 1.5× 416 0.5× 72 8.7k
Vincenzo Pirrotta United States 66 13.1k 1.3× 2.9k 1.0× 4.0k 1.7× 548 0.6× 571 0.7× 136 14.4k
Herbert Jäckle Germany 67 11.8k 1.2× 2.9k 1.0× 1.7k 0.7× 2.7k 2.9× 975 1.2× 200 14.5k
Mary K. Montgomery United States 15 10.3k 1.0× 1.6k 0.5× 2.0k 0.8× 578 0.6× 891 1.1× 28 13.0k
David Ish‐Horowicz United Kingdom 50 9.5k 0.9× 2.1k 0.7× 1.4k 0.6× 1.0k 1.1× 689 0.8× 103 11.2k
Paul Lasko Canada 51 7.2k 0.7× 1.9k 0.6× 1.1k 0.5× 664 0.7× 640 0.8× 125 8.8k

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
1.
Bing, Xinyang, et al.. (2024). Chromosome structure in Drosophila is determined by boundary pairing not loop extrusion. eLife. 13. 11 indexed citations
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Kyrchanova, Olga, et al.. (2023). Boundary bypass activity in the abdominal-B region of the Drosophila bithorax complex is position dependent and regulated. Open Biology. 13(8). 230035–230035. 3 indexed citations
5.
Erokhin, Maksim, J. Lesley Brown, Nadezhda E. Vorobyeva, et al.. (2023). Crol contributes to PRE-mediated repression and Polycomb group proteins recruitment inDrosophila. Nucleic Acids Research. 51(12). 6087–6100. 6 indexed citations
6.
Kozlov, Eugene, R. V Deev, Mariya Zhukova, et al.. (2023). Long-Term Memory Formation in Drosophila Depends on the 3′UTR of CPEB Gene orb2. Cells. 12(2). 318–318. 6 indexed citations
7.
Bing, Xinyang, et al.. (2023). lncRNA read-through regulates the BX-C insulator Fub-1. eLife. 12. 7 indexed citations
8.
Deshpande, Girish, et al.. (2023). Hedgehog signaling guides migration of primordial germ cells to the Drosophila somatic gonad. Genetics. 225(3). 4 indexed citations
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Kyrchanova, Olga, et al.. (2022). The Variable CTCF Site from Drosophila melanogaster Ubx Gene is Redundant and Has no Insulator Activity. Doklady Biochemistry and Biophysics. 505(1). 173–175. 1 indexed citations
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Chetverina, Darya, Maksim Erokhin, & Paul Schedl. (2021). GAGA factor: a multifunctional pioneering chromatin protein. Cellular and Molecular Life Sciences. 78(9). 4125–4141. 31 indexed citations
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Estrella, Michael, Li Chen, Sneha Rath, et al.. (2019). The metabolites NADP+ and NADPH are the targets of the circadian protein Nocturnin (Curled). Nature Communications. 10(1). 2367–2367. 48 indexed citations
15.
Aoki, Tsutomu, Daniel Wolle, Ella Preger‐Ben Noon, et al.. (2013). Bi-functional cross-linking reagents efficiently capture protein-DNA complexes in Drosophila embryos. Fly. 8(1). 43–51. 12 indexed citations
16.
Mishra, Rakesh K., et al.. (2001). The iab-7 Polycomb Response Element Maps to a Nucleosome-Free Region of Chromatin and Requires Both GAGA and Pleiohomeotic for Silencing Activity. Molecular and Cellular Biology. 21(4). 1311–1318. 145 indexed citations
17.
Horabin, Jamila I., et al.. (2000). Sex Determination in the Drosophila Germline Is Dictated by the Sexual Identity of the Surrounding Soma. Genetics. 155(4). 1741–1756. 26 indexed citations
18.
Yanowitz, Judith L., Girish Deshpande, Gretchen Calhoun, & Paul Schedl. (1999). An N-Terminal Truncation Uncouples the Sex-Transforming and Dosage Compensation Functions of Sex-lethal. Molecular and Cellular Biology. 19(4). 3018–3028. 42 indexed citations
19.
Deshpande, Girish, Joseph Stukey, & Paul Schedl. (1995). scute ( sis-b ) Function in Drosophila Sex Determination. Molecular and Cellular Biology. 15(8). 4430–4440. 42 indexed citations
20.
Udvardy, Andor & Paul Schedl. (1991). Chromatin Structure, Not DNA Sequence Specificity, Is the Primary Determinant of Topoisomerase II Sites of Action In Vivo. Molecular and Cellular Biology. 11(10). 4973–4984. 30 indexed citations

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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