Sean R. Collins

87 total papers · 15.5k total citations
53 papers, 8.5k citations indexed

About

Sean R. Collins is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Sean R. Collins has authored 53 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 15 papers in Cell Biology and 6 papers in Immunology and Allergy. Recurrent topics in Sean R. Collins's work include Fungal and yeast genetics research (12 papers), Cellular Mechanics and Interactions (11 papers) and Bioinformatics and Genomic Networks (9 papers). Sean R. Collins is often cited by papers focused on Fungal and yeast genetics research (12 papers), Cellular Mechanics and Interactions (11 papers) and Bioinformatics and Genomic Networks (9 papers). Sean R. Collins collaborates with scholars based in United States, Germany and Canada. Sean R. Collins's co-authors include Jonathan S. Weissman, Maya Schuldiner, Nevan J. Krogan, Peter Walter, Jodi Nunnari, Jack Greenblatt, Brandon H. Toyama, Benoı̂t Kornmann, Erin Currie and Tobias Meyer and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Sean R. Collins

52 papers receiving 8.5k citations

Hit Papers

An ER-Mitochondria Tether... 2005 2026 2012 2019 2009 2005 2005 2007 2009 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Sean R. Collins 7.3k 1.8k 1.1k 709 459 53 8.5k
Milton Adesnik 5.1k 0.7× 1.7k 0.9× 554 0.5× 945 1.3× 387 0.8× 78 7.9k
Benjamin P. Tu 7.2k 1.0× 1.3k 0.7× 864 0.8× 531 0.7× 949 2.1× 88 9.5k
Shao‐En Ong 11.4k 1.6× 1.7k 0.9× 626 0.6× 552 0.8× 605 1.3× 81 14.3k
Chanchal Kumar 8.4k 1.1× 1.2k 0.7× 687 0.6× 673 0.9× 758 1.7× 35 10.7k
Diana R. Tomchick 6.6k 0.9× 3.0k 1.7× 549 0.5× 570 0.8× 362 0.8× 115 9.5k
Noah Dephoure 8.5k 1.2× 2.0k 1.1× 581 0.5× 681 1.0× 723 1.6× 60 10.7k
Florian Gnad 11.3k 1.5× 1.7k 0.9× 501 0.5× 909 1.3× 784 1.7× 54 13.6k
Paola Picotti 7.3k 1.0× 788 0.4× 648 0.6× 572 0.8× 592 1.3× 110 10.5k
H. Alex Brown 6.4k 0.9× 2.0k 1.1× 1.0k 0.9× 418 0.6× 822 1.8× 98 9.0k
Martin Kampmann 6.5k 0.9× 910 0.5× 1.0k 0.9× 832 1.2× 559 1.2× 96 8.6k

Countries citing papers authored by Sean R. Collins

Since Specialization
Citations

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

Fields of papers citing papers by Sean R. Collins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean R. Collins. 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 Sean R. Collins. The network helps show where Sean R. Collins may publish in the future.

Co-authorship network of co-authors of Sean R. Collins

This figure shows the co-authorship network connecting the top 25 collaborators of Sean R. Collins. A scholar is included among the top collaborators of Sean R. Collins 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 Sean R. Collins. Sean R. Collins 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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