Yash Pershad

915 citations
29 papers · 498 · 1 hit paper · h-index 9

Impact in

  • Health top 5%
    • Social Media in Health Education
    • Venous Thromboembolism Diagnosis and Management

Papers in

Yash Pershad

21 papers receiving 489 citations

Yash Pershad's Hit Papers

Social Medicine: Twitter in Healthcare 2018 · 214 citations
2140+2+5Years since publication50100150200

Peers

Yash Pershad
Comparison fields: 5 of 106
  • Health 120
  • Internal Medicine 23
  • Health Informatics 5
  • Communication 26
  • Hepatology 23
Replace Orhan Zengin with:
Orhan Zengin Türkiye
Jess Mandel United States
Arie Blitz United States
Mike D Cadogan Australia
Pamela Hallquist Viale United States
R. Taberner Spain
Judy Truong Canada
Steven J. Katz Canada
Rebecca A. Marmor United States
Michael Fung‐Kee‐Fung Canada
Yash Pershad relative to Orhan Zengin Türkiye Orhan Zengin's profile →
Citations per field
00.5×6.5×
Orhan Zengin · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Yash Pershad, 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 Yash Pershad Line = papers co-authored together Yash Pershad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Social Medicine: Twitter in Healthcare
Hit paper breakdown →
2018214
2 201860
3 202149
4 201738
5 201829
6 202127
7 201820
8 201812
9 201710
10 20176
11 20166
12 20255
13 20185
14 20245
15 20254
16 20253
17 20251
18 20251
19 20251
20 20191

About Yash Pershad

Yash Pershad is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Surgery, having authored 29 papers that have together received 498 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Hemoglobinopathies and Related Disorders (4 papers), Cancer Genomics and Diagnostics (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Cardiac Valve Diseases and Treatments (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Health (120 citations), Internal Medicine (23 citations), Health Informatics (5 citations), Communication (26 citations) and Hepatology (23 citations). Yash Pershad has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Rahmi Öklü, Hassan Albadawi, Patrick T. Hangge, Russ B. Altman, Gregory McInnes, Sook Wah Yee, Sailendra Naidu, Sadeer Alzubaidi, Aman Saini and M. Grace Knuttinen. Their work appears in journals such as Blood, Journal of Clinical Medicine, Scientific Reports, Haematologica and European Respiratory Journal.

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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