Athma A. Pai

8.6k citations
43 papers · 5.3k indexed · 4 hit papers · h-index 27
Topics
RNA Research and Splicing (24 papers)RNA and protein synthesis mechanisms (13 papers)RNA modifications and cancer (12 papers)

In The Last Decade

Athma A. Pai

41 papers receiving 5.2k citations

Hit Papers

Understanding mechanisms underlying human gene expression...20062026201220192010201120062012250500750

Peers

Athma A. Pai
Comparison fields: 5 of 147
  • Molecular Biology 4.2k
  • Genetics 1.8k
  • Cancer Research 753
  • Surgery 337
  • Immunology 293
Replace Daniel J. Gaffney with:
Daniel J. Gaffney United Kingdom
Michael D. Wilson Canada
Miguel A. Peinado Spain
Anders Lade Nielsen Denmark
Graham R. S. Ritchie United Kingdom
Anja Thormann United Kingdom
Ami Levy‐Moonshine United States
Robert Ivánek Switzerland
Clare Stirzaker Australia
Thierry Grange France
Athma A. Pai relative to Daniel J. Gaffney United Kingdom Daniel J. Gaffney's profile →
Citations per field
00.5×1.5×
Daniel J. Gaffney · 1×
Citations per year

Countries citing papers authored by Athma A. Pai

Since Specialization
Citations

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

Fields of papers citing papers by Athma A. Pai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Athma A. Pai

This figure shows the co-authorship network connecting the top 25 collaborators of Athma A. Pai. A scholar is included among the top collaborators of Athma A. Pai 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 Athma A. Pai. Athma A. Pai 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 0
2 2
3 1
4 2
5 6
6 0
7 4
8 10
9 80
10 52
11 27
12 64
13 71
14
DNase I sensitivity QTLs are a major determinant of human expression variationbreakdown →
429
15 377
16
Understanding mechanisms underlying human gene expression variation with RNA sequencingbreakdown →
908
17 212
18 33
19 36
20
NOTCH2 Mutations Cause Alagille Syndrome, a Heterogeneous Disorder of the Notch Signaling Pathwaybreakdown →
489

About Athma A. Pai

Athma A. Pai is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 43 papers that have together received 5.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (24 papers), RNA and protein synthesis mechanisms (13 papers) and RNA modifications and cancer (12 papers). The work is most often cited by research in Genetics (1.8k citations), Molecular Biology (4.2k citations) and Cancer Research (753 citations). Athma A. Pai has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Yoav Gilad, Jonathan K. Pritchard, Jacob F. Degner, Joseph K. Pickrell, Daniel J. Gaffney, John C. Marioni, Roger Piqué-Regi, Matthew Stephens, Jordana T. Bell and Jean‐Baptiste Veyrieras. Their work appears in journals such as Nature, Science and Cell.

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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