Jay Patel

2.5k citations
58 papers · 1.0k · h-index 11

Impact in

  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments

Papers in

    • Cardiac Structural Anomalies and Repair 3
    • Atrial Fibrillation Management and Outcomes 9
    • Takotsubo Cardiomyopathy and Associated Phenomena 3
    • Cardiac, Anesthesia and Surgical Outcomes 3
    • Cardiovascular Function and Risk Factors 3

Jay Patel

54 papers receiving 984 citations

Peers

Jay Patel
Comparison fields: 5 of 106
  • Genetics 318
  • Hematology 301
  • Emergency Medicine 118
  • Parasitology 73
  • Rheumatology 124
Replace Allen D. Schwartz with:
Allen D. Schwartz United States
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Georgia Papaioannou Greece
A R Rosenthal United Kingdom
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Citations per field
00.5×10×15×20×24.7×
Allen D. Schwartz · 1×
Citations per year

Countries citing papers authored by Jay Patel

Since Specialization
Citations

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

Fields of papers citing papers by Jay Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009304
2 2009177
3 2012105
4 201294
5 201364
6 201229
7 202223
8 199017
9 202316
10 202111
11 201310
12 202210
13 20229
14 20219
15 20129
16 20218
17 20158
18 20217
19 20187
20 20207

About Jay Patel

Jay Patel is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (9 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Acute Ischemic Stroke Management (4 papers), Cardiac Structural Anomalies and Repair (3 papers), Takotsubo Cardiomyopathy and Associated Phenomena (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Colorectal Cancer Screening and Detection (3 papers). The work is most often cited by research in Genetics (318 citations), Hematology (301 citations), Emergency Medicine (118 citations), Parasitology (73 citations) and Rheumatology (124 citations). Jay Patel has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Michael A. Posencheg, Anne Ades, Ross L. Levine, Animesh Pardanani, Omar Abdel‐Wahab, Ann Mullally, Ken‐Hong Lim, Ayalew Tefferi, Curtis A. Hanson and William Vainchenker. Their work appears in journals such as Cardiology in Review, The Journal of Heart and Lung Transplantation, Current Problems in Cardiology, Leukemia and PEDIATRICS.

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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