Śaunak Sen

11.9k citations
100 papers · 7.4k indexed · 3 hit papers · h-index 45

Impact in

Papers in

Śaunak Sen

96 papers receiving 7.3k citations

Hit Papers

R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations 2018 · 242 citations
2422001202620092017100200300400500

Peers

Śaunak Sen
Comparison fields: 5 of 184
  • Geriatrics and Gerontology 553
  • Health, Toxicology and Mutagenesis 1.0k
  • Genetics 1.9k
  • Family Practice 135
  • Environmental Chemistry 586
Replace Robin P. Peeters with:
Robin P. Peeters Netherlands
Yan V. Sun United States
Donald R. Mattison United States
David Hole United Kingdom
Scott Davis United States
WC Willett United States
Patricia Hartge United States
David Gordon United States
Christian C. Abnet United States
Jane F. Desforges United States
Śaunak Sen relative to Robin P. Peeters Netherlands Robin P. Peeters's profile →
Citations per field
00.5×8.1×
Robin P. Peeters · 1×
Citations per year

Countries citing papers authored by Śaunak Sen

Since Specialization
Citations

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

Fields of papers citing papers by Śaunak Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Śaunak Sen. 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 Śaunak Sen. The network helps show where Śaunak Sen may publish in the future.

Co-authors

The 25 scholars most cited alongside Śaunak Sen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Śaunak Sen Line = papers co-authored together Śaunak Sen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 202116
3 20210
4 20219
5 20212
6 201916
7 20190
8
R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations
Hit paper breakdown →
2018242
9 2014157
10 2013104
11 201397
12
Phenotypic Landscape of a Bacterial Cell
Hit paper breakdown →
2010509
13 201035
14 201028
15 200656
16 2005139
17
QTL Study Design from an Information Perspective
20052
18 200537
19 2004101
20 2001128

About Śaunak Sen

Śaunak Sen is a scholar working on Aging, Geriatrics and Gerontology, Genetics, Health, Toxicology and Mutagenesis and Applied Psychology, having authored 100 papers that have together received 7.4k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (20 papers), Genetic and phenotypic traits in livestock (15 papers), Asthma and respiratory diseases (10 papers), Birth, Development, and Health (9 papers), Genetics and Plant Breeding (9 papers), Toxic Organic Pollutants Impact (6 papers), Effects and risks of endocrine disrupting chemicals (6 papers) and Plant Stress Responses and Tolerance (6 papers). The work is most often cited by research in Geriatrics and Gerontology (553 citations), Health, Toxicology and Mutagenesis (1.0k citations), Genetics (1.9k citations), Family Practice (135 citations) and Environmental Chemistry (586 citations). Śaunak Sen has collaborated with scholars based in United States, Puerto Rico and Switzerland. Frequent co-authors include Gary A. Churchill, Karl W. Broman, Tracey J. Woodruff, C. Seth Landefeld, Patrice Sutton, Juleen Lam, Daniel Bertenthal, Daniel A. Axelrad, Michael A. Steinman and Paula I. Johnson. Their work appears in journals such as Genetics, PLoS ONE, Journal of the American Society of Nephrology, Environmental Health Perspectives and G3 Genes Genomes Genetics.

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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