Steven A. McCarroll

214.4k total citations · 14 hit papers
108 papers, 23.5k citations indexed

About

Steven A. McCarroll is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Steven A. McCarroll has authored 108 papers receiving a total of 23.5k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Genetics, 52 papers in Molecular Biology and 10 papers in Plant Science. Recurrent topics in Steven A. McCarroll's work include Genomic variations and chromosomal abnormalities (40 papers), Genetic Associations and Epidemiology (31 papers) and Genomics and Rare Diseases (29 papers). Steven A. McCarroll is often cited by papers focused on Genomic variations and chromosomal abnormalities (40 papers), Genetic Associations and Epidemiology (31 papers) and Genomics and Rare Diseases (29 papers). Steven A. McCarroll collaborates with scholars based in United States, United Kingdom and Sweden. Steven A. McCarroll's co-authors include James Nemesh, Evan Z. Macosko, Melissa Goldman, Nolan Kamitaki, David Altshuler, Robert E. Handsaker, Joshua R. Sanes, Aviv Regev, Karthik Shekhar and Anindita Basu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Steven A. McCarroll

108 papers receiving 23.2k citations

Hit Papers

Highly Parallel Genome-wide Expression Pr... 2003 2026 2010 2018 2015 2003 2016 2007 2018 1000 2.0k 3.0k 4.0k

Peers

Steven A. McCarroll
Comparison fields: 5 of 180
  • Molecular Biology 12.4k
  • Genetics 7.5k
  • Immunology 2.7k
  • Neurology 2.6k
  • Cancer Research 2.2k
Replace Hannes Vogel with:
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Ryoichiro Kageyama Japan
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Citations per field, relative to Steven A. McCarroll
Steven A. McCarroll · 1×
Citations per year, relative to Steven A. McCarroll
Steven A. McCarroll · 1×

Countries citing papers authored by Steven A. McCarroll

Since Specialization
Citations

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

Fields of papers citing papers by Steven A. McCarroll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven A. McCarroll. 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 Steven A. McCarroll. The network helps show where Steven A. McCarroll may publish in the future.

Co-authorship network of co-authors of Steven A. McCarroll

This figure shows the co-authorship network connecting the top 25 collaborators of Steven A. McCarroll. A scholar is included among the top collaborators of Steven A. McCarroll 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 Steven A. McCarroll. Steven A. McCarroll 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
# Work Indexed citations
1 2
2 21
3 27
4 9
5 17
6 92
7 28
8 70
9 11
10 1
11
Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights breakdown →
293
12 16
13 276
14 126
15 56
16 21
17 53
18 227
19 130
20 335

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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