Priya Duggal

6.7k total citations
123 papers, 3.7k citations indexed

About

Priya Duggal is a scholar working on Infectious Diseases, Epidemiology and Genetics. According to data from OpenAlex, Priya Duggal has authored 123 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Infectious Diseases, 32 papers in Epidemiology and 28 papers in Genetics. Recurrent topics in Priya Duggal's work include Genetic Associations and Epidemiology (23 papers), Amoebic Infections and Treatments (13 papers) and HIV Research and Treatment (11 papers). Priya Duggal is often cited by papers focused on Genetic Associations and Epidemiology (23 papers), Amoebic Infections and Treatments (13 papers) and HIV Research and Treatment (11 papers). Priya Duggal collaborates with scholars based in United States, Bangladesh and United Kingdom. Priya Duggal's co-authors include Oscar H. Cingolani, David A. Kass, Joan E. Bailey‐Wilson, Rashidul Haque, William A. Petri, Dinesh Mondal, Elizabeth M. Gillanders, Taura N. Holmes, Terri H. Beaty and Mark R. Vesely and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Priya Duggal

119 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Priya Duggal United States 37 1.2k 831 800 555 489 123 3.7k
Ilkka Seppälä Finland 35 1.1k 0.9× 945 1.1× 729 0.9× 947 1.7× 215 0.4× 161 4.2k
Thirumalaisamy P. Velavan Germany 34 1.3k 1.1× 591 0.7× 1.0k 1.3× 331 0.6× 141 0.3× 199 4.0k
Weidong Zhang China 31 656 0.5× 1.1k 1.3× 593 0.7× 544 1.0× 382 0.8× 209 4.6k
Qing He China 32 470 0.4× 984 1.2× 1.3k 1.6× 297 0.5× 479 1.0× 120 4.3k
Kirk A. Rockett United Kingdom 43 470 0.4× 1.1k 1.3× 682 0.9× 570 1.0× 197 0.4× 130 5.7k
Vivek R. Nerurkar United States 38 1.5k 1.3× 656 0.8× 575 0.7× 188 0.3× 134 0.3× 152 4.2k
Michael R. Wilson United States 33 886 0.7× 1.9k 2.3× 916 1.1× 111 0.2× 244 0.5× 126 4.6k
Paul A. MacAry Singapore 40 2.9k 2.4× 1.7k 2.0× 1.2k 1.5× 322 0.6× 269 0.6× 113 7.5k
Gail Hayward United Kingdom 39 878 0.7× 569 0.7× 3.0k 3.8× 244 0.4× 162 0.3× 179 5.8k
Marek Radkowski Poland 38 617 0.5× 423 0.5× 2.4k 3.0× 196 0.4× 176 0.4× 162 4.2k

Countries citing papers authored by Priya Duggal

Since Specialization
Citations

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

Fields of papers citing papers by Priya Duggal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priya Duggal

This figure shows the co-authorship network connecting the top 25 collaborators of Priya Duggal. A scholar is included among the top collaborators of Priya Duggal 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 Priya Duggal. Priya Duggal 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.
Garcia, Carlos Alexandre de Amorim, et al.. (2025). Whole exome sequencing shows novel COL4A3 and COL4A4 variants as causes of Alport syndrome in Rio Grande do Norte, Brazil. BMC Genomics. 26(1). 331–331.
2.
Ray, Debashree, Stephanie Loomis, Adrienne Tin, et al.. (2024). Characterizing Common and Rare Variations in Nontraditional Glycemic Biomarkers Using Multivariate Approaches on Multiancestry ARIC Study. Diabetes. 73(9). 1537–1550. 2 indexed citations
3.
Wentz, Eryka, et al.. (2024). Cohort profile: the Johns Hopkins COVID Long Study (JHCLS)—a US nationwide prospective cohort study. BMJ Open. 14(6). e077742–e077742. 1 indexed citations
4.
Lau, Bryan, et al.. (2023). Physical Health and Mental Fatigue Disability Associated with Long COVID: Baseline Results from a US Nationwide Cohort. The American Journal of Medicine. 138(2). 287–297.e21. 10 indexed citations
5.
Rudolph, Jacqueline E., Yongqi Zhong, Priya Duggal, Shruti H. Mehta, & Bryan Lau. (2023). Defining representativeness of study samples in medical and population health research. SHILAP Revista de lepidopterología. 2(1). e000399–e000399. 44 indexed citations
6.
Haque, Rashidul, Genevieve L. Wojcik, Poonum Korpe, et al.. (2023). Genome-Wide Association Studies of Diarrhea Frequency and Duration in the First Year of Life in Bangladeshi Infants. The Journal of Infectious Diseases. 228(8). 979–989.
7.
Vergara, Candelaria, et al.. (2023). Multiancestry sex-stratified genomic associations with HIV viral load and controller status from the ICGH. JCI Insight. 8(11). 3 indexed citations
8.
Haque, Rashidul, Ning‐Jiun Jan, Genevieve L. Wojcik, et al.. (2022). Genome-Wide Association Study of Campylobacter - Positive Diarrhea Identifies Genes Involved in Toxin Processing and Inflammatory Response. mBio. 13(3). e0055622–e0055622. 3 indexed citations
9.
Patasova, Karina, Annechien E. G. Haarman, Anthony M. Musolf, et al.. (2022). Association analyses of rare variants identify two genes associated with refractive error. PLoS ONE. 17(9). e0272379–e0272379. 2 indexed citations
10.
Breen, Elizabeth C., Mary E. Sehl, Roger Shih, et al.. (2022). Accelerated aging with HIV occurs at the time of initial HIV infection. iScience. 25(7). 104488–104488. 38 indexed citations
11.
An, Ping, Efe Sezgın, Gregory D. Kirk, et al.. (2021). APOL1 variant alleles associate with reduced risk for opportunistic infections in HIV infection. Communications Biology. 4(1). 284–284. 5 indexed citations
12.
13.
Wojcik, Genevieve L., Poonum Korpe, Chelsea Marie, et al.. (2020). Genome-Wide Association Study of Cryptosporidiosis in Infants Implicates PRKCA. mBio. 11(1). 16 indexed citations
14.
Chen, Fei, Eva P. Szymanski, Kenneth N. Olivier, et al.. (2017). Whole-Exome Sequencing Identifies the 6q12-q16 Linkage Region and a Candidate Gene, TTK , for Pulmonary Nontuberculous Mycobacterial Disease. American Journal of Respiratory and Critical Care Medicine. 196(12). 1599–1604. 23 indexed citations
15.
Rizvi, Syed, Nasir Salam, Jie Geng, et al.. (2014). Distinct Assembly Profiles of HLA-B Molecules. The Journal of Immunology. 192(11). 4967–4976. 72 indexed citations
16.
Duggal, Priya, Xiaoti Guo, Rashidul Haque, et al.. (2011). A mutation in the leptin receptor is associated with Entamoeba histolytica infection in children. Journal of Clinical Investigation. 121(3). 1191–1198. 112 indexed citations
17.
Cheng, Ching‐Yu, Kristine E. Lee, Priya Duggal, et al.. (2009). Genome‐wide Linkage Analysis of Multiple Metabolic Factors: Evidence of Genetic Heterogeneity. Obesity. 18(1). 146–152. 5 indexed citations
18.
An, Ping, Priya Duggal, Lihua Wang, et al.. (2007). Polymorphisms of CUL5 Are Associated with CD4+ T Cell Loss in HIV-1 Infected Individuals. PLoS Genetics. 3(1). e19–e19. 43 indexed citations
19.
Duggal, Priya, Cheryl A. Winkler, Ping An, et al.. (2005). The Effect of RANTES Chemokine Genetic Variants on Early HIV-1 Plasma RNA Among African American Injection Drug Users. JAIDS Journal of Acquired Immune Deficiency Syndromes. 38(5). 584–589. 19 indexed citations
20.
Beckmann, Lars, Andreas Ziegler, Priya Duggal, & Joan E. Bailey‐Wilson. (2005). Haplotypes and haplotype-tagging single-nucleotide polymorphism: Presentation Group 8 of Genetic Analysis Workshop 14. Genetic Epidemiology. 29(S1). S59–S71. 9 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.

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