Saonli Basu

4.7k total citations
73 papers, 1.4k citations indexed

About

Saonli Basu is a scholar working on Genetics, Molecular Biology and Hematology. According to data from OpenAlex, Saonli Basu has authored 73 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Genetics, 17 papers in Molecular Biology and 16 papers in Hematology. Recurrent topics in Saonli Basu's work include Genetic Associations and Epidemiology (41 papers), Genetic Mapping and Diversity in Plants and Animals (21 papers) and Genetic and phenotypic traits in livestock (17 papers). Saonli Basu is often cited by papers focused on Genetic Associations and Epidemiology (41 papers), Genetic Mapping and Diversity in Plants and Animals (21 papers) and Genetic and phenotypic traits in livestock (17 papers). Saonli Basu collaborates with scholars based in United States, Denmark and Ireland. Saonli Basu's co-authors include Wei Pan, Mary Cushman, Aaron R. Folsom, Matt McGue, William S. Oetting, Pamela L. Lutsey, Michael B. Miller, William G. Iacono, James S. Pankow and Susan R. Heckbert and has published in prestigious journals such as Blood, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Saonli Basu

69 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saonli Basu United States 21 536 293 201 200 144 73 1.4k
Julie Williams United States 14 44 0.1× 378 1.3× 173 0.9× 289 1.4× 76 0.5× 35 1.1k
Karen Schreiber Denmark 29 147 0.3× 178 0.6× 110 0.5× 552 2.8× 142 1.0× 85 2.7k
Penelope McKelvie Australia 27 93 0.2× 228 0.8× 68 0.3× 18 0.1× 289 2.0× 90 1.7k
Urs C. Steiner Switzerland 21 112 0.2× 79 0.3× 60 0.3× 69 0.3× 104 0.7× 53 1.6k
Jamie M. O’Sullivan Ireland 26 112 0.2× 238 0.8× 216 1.1× 761 3.8× 182 1.3× 54 1.8k
Maya Cohen Israel 20 69 0.1× 182 0.6× 40 0.2× 29 0.1× 105 0.7× 58 1.3k
Deborah M. Levy Canada 23 173 0.3× 137 0.5× 11 0.1× 439 2.2× 100 0.7× 99 1.8k
Richard Stratton United Kingdom 26 135 0.3× 792 2.7× 18 0.1× 30 0.1× 116 0.8× 80 2.3k
Wendy Chen United States 17 385 0.7× 540 1.8× 24 0.1× 12 0.1× 62 0.4× 53 1.3k
Richard M. Goodman Israel 26 889 1.7× 611 2.1× 20 0.1× 24 0.1× 125 0.9× 121 2.2k

Countries citing papers authored by Saonli Basu

Since Specialization
Citations

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

Fields of papers citing papers by Saonli Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saonli Basu

This figure shows the co-authorship network connecting the top 25 collaborators of Saonli Basu. A scholar is included among the top collaborators of Saonli Basu 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 Saonli Basu. Saonli Basu 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.
Basu, Saonli, et al.. (2025). Interpreting SNP heritability in admixed populations. Genetics. 230(4).
2.
Xie, Tiankai, Logan G. Spector, Nathan Pankratz, et al.. (2025). Multiancestry Transcriptome-Wide Association Study Identifies Candidate Genes Associated with Hepatoblastoma. Cancer Epidemiology Biomarkers & Prevention. 34(8). 1405–1414.
3.
McCarthy, Elaine K., et al.. (2024). Longitudinal evaluation of iron status during pregnancy: a prospective cohort study in a high-resource setting. American Journal of Clinical Nutrition. 120(5). 1259–1268. 11 indexed citations
4.
Lin, Zhaotong, et al.. (2022). Estimating SNP heritability in presence of population substructure in biobank-scale datasets. Genetics. 220(4). 4 indexed citations
5.
Thompson, E. A., et al.. (2022). Comparing heritability estimators under alternative structures of linkage disequilibrium. G3 Genes Genomes Genetics. 12(8). 5 indexed citations
6.
Datta, Abhirup, et al.. (2022). Efficient estimation of SNP heritability using Gaussian predictive process in large scale cohort studies. PLoS Genetics. 18(4). e1010151–e1010151. 4 indexed citations
7.
Boatman, Jeffrey A., et al.. (2020). Modeling the Dependence Structure in Genome Wide Association Studies of Binary Phenotypes in Family Data. Behavior Genetics. 50(6). 423–439. 1 indexed citations
8.
Folsom, Aaron R., Weihong Tang, Saonli Basu, et al.. (2019). Plasma Concentrations of High Molecular Weight Kininogen and Prekallikrein and Venous Thromboembolism Incidence in the General Population. Thrombosis and Haemostasis. 119(5). 834–843. 10 indexed citations
9.
Ray, Debashree, James S. Pankow, & Saonli Basu. (2015). USAT: A Unified Score‐Based Association Test for Multiple Phenotype‐Genotype Analysis. Genetic Epidemiology. 40(1). 20–34. 33 indexed citations
10.
Weng, Lu‐Chen, Weihong Tang, Stephen S. Rich, et al.. (2014). A genetic association study of D-dimer levels with 50K SNPs from a candidate gene chip in four ethnic groups. Thrombosis Research. 134(2). 462–467. 7 indexed citations
11.
Kirkpatrick, Robert M., Matt McGue, William G. Iacono, Michael B. Miller, & Saonli Basu. (2014). Results of a “GWAS Plus:” General Cognitive Ability Is Substantially Heritable and Massively Polygenic. PLoS ONE. 9(11). e112390–e112390. 34 indexed citations
12.
Miller, Michael B., Saonli Basu, Julie M. Cunningham, et al.. (2012). The Minnesota Center for Twin and Family Research Genome-Wide Association Study. Twin Research and Human Genetics. 15(6). 767–774. 53 indexed citations
13.
Basu, Saonli, Wei Pan, & William S. Oetting. (2011). A Dimension Reduction Approach for Modeling Multi-Locus Interaction in Case-Control Studies. Human Heredity. 71(4). 234–245. 6 indexed citations
14.
Arora, Madan L., Bruce R. Lindgren, Saonli Basu, et al.. (2010). Polymorphisms in the base excision repair pathway and graft-versus-host disease. Leukemia. 24(8). 1470–1475. 17 indexed citations
15.
He, Hua, William S. Oetting, Marcia J. Brott, & Saonli Basu. (2009). Pair-Wise Multifactor Dimensionality Reduction Method to Detect Gene-Gene Interactions in A Case-Control Study. Human Heredity. 69(1). 60–70. 13 indexed citations
16.
Thumbigere‐Math, Vivek, Rajaram Gopalakrishnan, Arkadiusz Z. Dudek, et al.. (2009). Bisphosphonate-Related Osteonecrosis of the Jaw: Clinical Features, Risk Factors, Management, and Treatment Outcomes of 26 Patients. Journal of Oral and Maxillofacial Surgery. 67(9). 1904–1913. 91 indexed citations
17.
Basu, Saonli, Yanming Di, & E. A. Thompson. (2008). Exact Trait‐Model‐Free Tests for Linkage Detection in Pedigrees. Annals of Human Genetics. 72(5). 676–682. 5 indexed citations
18.
Johnson, L’Aurelle A., et al.. (2008). Pharmacogenetic effect of the UGT polymorphisms on mycophenolate is modified by calcineurin inhibitors. European Journal of Clinical Pharmacology. 64(11). 1047–1056. 33 indexed citations
19.
Sieh, Weiva, Saonli Basu, Audrey Qiuyan Fu, et al.. (2005). Comparison of marker types and map assumptions using Markov chain Monte Carlo-based linkage analysis of COGA data. BMC Genetics. 6(S1). S11–S11. 15 indexed citations
20.
Basu, Analabha, et al.. (1998). Projection of HIV infection in Calcutta.. PubMed. 107. 159–72. 5 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Julie Williams Breakdown of academic impact, for papers by Karen Schreiber Breakdown of academic impact, for papers by Penelope McKelvie Breakdown of academic impact, for papers by Urs C. Steiner Breakdown of academic impact, for papers by Jamie M. O’Sullivan Breakdown of academic impact, for papers by Maya Cohen Breakdown of academic impact, for papers by Deborah M. Levy Breakdown of academic impact, for papers by Richard Stratton Breakdown of academic impact, for papers by Wendy Chen Breakdown of academic impact, for papers by Richard M. Goodman
Rankless by CCL
2026