Yash Pershad

838 total citations · 1 hit paper
25 papers, 479 citations indexed

About

Yash Pershad is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Yash Pershad has authored 25 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 8 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Yash Pershad's work include Acute Myeloid Leukemia Research (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers) and Hemoglobinopathies and Related Disorders (5 papers). Yash Pershad is often cited by papers focused on Acute Myeloid Leukemia Research (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers) and Hemoglobinopathies and Related Disorders (5 papers). Yash Pershad collaborates with scholars based in United States, Canada and Italy. Yash Pershad's co-authors include Rahmi Öklü, Hassan Albadawi, Patrick T. Hangge, Sook Wah Yee, Russ B. Altman, Gregory McInnes, Sailendra Naidu, Sadeer Alzubaidi, Aman Saini and M. Grace Knuttinen and has published in prestigious journals such as Blood, Journal of the American College of Cardiology and European Heart Journal.

In The Last Decade

Yash Pershad

18 papers receiving 472 citations

Hit Papers

Social Medicine: Twitter in Healthcare 2018 2026 2020 2023 2018 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yash Pershad United States 9 135 97 75 69 61 25 479
Arie Blitz United States 10 132 1.0× 89 0.9× 33 0.4× 56 0.8× 77 1.3× 18 583
Christopher E. Bayne United States 11 124 0.9× 125 1.3× 17 0.2× 24 0.3× 26 0.4× 38 463
Jingyi Ding China 8 72 0.5× 140 1.4× 54 0.7× 20 0.3× 12 0.2× 12 394
Zhenke Wu United States 11 52 0.4× 60 0.6× 48 0.6× 32 0.5× 7 0.1× 47 556
Gerard M. Healy Ireland 14 69 0.5× 67 0.7× 9 0.1× 197 2.9× 63 1.0× 41 616
James B. McGee United States 13 84 0.6× 135 1.4× 34 0.5× 191 2.8× 49 0.8× 25 990
Edel Quinn Ireland 15 55 0.4× 97 1.0× 25 0.3× 34 0.5× 13 0.2× 32 578
Amish Acharya United Kingdom 17 52 0.4× 79 0.8× 50 0.7× 27 0.4× 15 0.2× 36 709
Alison Chetlen United States 16 38 0.3× 157 1.6× 24 0.3× 346 5.0× 40 0.7× 59 776
Atiyeh M. Abdallah Qatar 17 69 0.5× 21 0.2× 43 0.6× 21 0.3× 12 0.2× 71 825

Countries citing papers authored by Yash Pershad

Since Specialization
Citations

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

Fields of papers citing papers by Yash Pershad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yash Pershad

This figure shows the co-authorship network connecting the top 25 collaborators of Yash Pershad. A scholar is included among the top collaborators of Yash Pershad 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 Yash Pershad. Yash Pershad 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.
Pershad, Yash, Md Mesbah Uddin, Jeffrey Haessler, et al.. (2025). Correlates and consequences of clonal hematopoiesis expansion rate: a 16-year longitudinal study of 6976 women. Blood. 146(9). 1078–1087. 4 indexed citations
2.
Wuichet, Kristin, Sara R. Rashkin, Yash Pershad, et al.. (2025). Increased prevalence of clonal hematopoiesis in children with sickle cell disease. Blood. 147(13). 1447–1455.
3.
Smith, Aaron P., Xiaoyan Leng, Megan E. Hall, et al.. (2025). Clonal hematopoiesis of indeterminate potential and the risk of cognitive impairment in the Women's Health Initiative Memory Study. Alzheimer s & Dementia. 21(10). e70737–e70737.
4.
Li, Yajing, Cosmin A. Bejan, Caitlyn Vlasschaert, et al.. (2025). Clonal Hematopoiesis of Indeterminate Potential After Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 124(4). 1042–1050.
5.
Uddin, Md Mesbah, Yash Pershad, Jason M. Collins, et al.. (2025). Clonal Hematopoiesis and Cardiovascular Outcomes in Older Women. Journal of the American College of Cardiology. 86(15). 1093–1106. 3 indexed citations
6.
Brogan, James, Ashwin Kishtagari, Robert W. Corty, et al.. (2025). Incident cytopenia and risk of subsequent myeloid neoplasm in age-related clonal hematopoiesis: a multi-biobank case-control study. EClinicalMedicine. 84. 103283–103283. 1 indexed citations
7.
Hsu, Cheng-Chieh, Yash Pershad, Caitlyn Vlasschaert, et al.. (2025). Interleukin-17 receptor-A signalling: atheroprotective role in JAK2 clonal haematopoiesis. European Heart Journal. 46(48). 5292–5295.
8.
Parker, Alyssa, J. Brett Heimlich, Yash Pershad, et al.. (2024). Methylation sequencing enhances interpretation of clonal hematopoiesis dynamics. Blood. 145(9). 988–992.
9.
Pershad, Yash, et al.. (2024). Clonal Hematopoiesis of Indeterminate Potential and Cardiovascular Health. Cardiology Clinics. 43(1). 13–23.
10.
Mack, Taralynn, Yash Pershad, Caitlyn Vlasschaert, et al.. (2024). Germline genetics, disease, and exposure to medication influence longitudinal dynamics of clonal hematopoiesis. Haematologica. 110(4). 1010–1018. 3 indexed citations
11.
Morris, Michael F., et al.. (2021). Altered pulmonary blood volume distribution as a biomarker for predicting outcomes in COVID-19 disease. European Respiratory Journal. 58(3). 2004133–2004133. 27 indexed citations
12.
McInnes, Gregory, Sook Wah Yee, Yash Pershad, & Russ B. Altman. (2021). Genomewide Association Studies in Pharmacogenomics. Clinical Pharmacology & Therapeutics. 110(3). 637–648. 48 indexed citations
13.
Pershad, Yash, Margaret Guo, & Russ B. Altman. (2019). Pathway and network embedding methods for prioritizing psychiatric drugs. PubMed. 25. 671–682. 1 indexed citations
14.
Saini, Aman, Yash Pershad, Sailendra Naidu, et al.. (2018). Radiogenomics and Radiomics in Liver Cancers. Diagnostics. 9(1). 4–4. 58 indexed citations
15.
Hangge, Patrick T., et al.. (2018). Three-dimensional (3D) printing and its applications for aortic diseases. Cardiovascular Diagnosis and Therapy. 8(S1). S19–S25. 29 indexed citations
16.
Saini, Aman, Sadeer Alzubaidi, Yash Pershad, et al.. (2018). Irreversible Electroporation in Liver Cancers and Whole Organ Engineering. Journal of Clinical Medicine. 8(1). 22–22. 19 indexed citations
17.
Pershad, Yash, et al.. (2017). Volume-outcome relationships for transcatheter aortic valve replacement-risk-adjusted and volume stratified analysis of TAVR outcomes. Indian Heart Journal. 69(6). 700–706. 5 indexed citations
18.
Albadawi, Hassan, et al.. (2017). Animal models of venous thrombosis. Cardiovascular Diagnosis and Therapy. 7(S3). S197–S206. 37 indexed citations
19.
Pershad, Yash, Amy K. Hara, Mitesh J. Borad, et al.. (2017). Using Naïve Bayesian Analysis to Determine Imaging Characteristics of KRAS Mutations in Metastatic Colon Cancer. Diagnostics. 7(3). 50–50. 9 indexed citations
20.
Pershad, Yash, et al.. (2016). Impact of institutional volume and experience with CT interpretation on sizing of transcatheter aortic valves: A multicenter retrospective study. Cardiovascular revascularization medicine. 17(8). 566–570. 6 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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