Ketna Patel

1.1k citations
18 papers · 261 · h-index 7

Impact in

  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies
    • Parathyroid Disorders and Treatments
    • Chronic Lymphocytic Leukemia Research

Papers in

Ketna Patel

17 papers receiving 256 citations

Peers

Ketna Patel
Comparison fields: 5 of 37
  • Nephrology 62
  • Genetics 57
  • Hematology 43
  • Molecular Biology 178
  • Cardiology and Cardiovascular Medicine 59
Replace S. Mahmood with:
S. Mahmood United Kingdom
JD Gillmore United Kingdom
Ernesto Anesi Italy
Giovanbattista Vadacca Italy
Richa Manwani United Kingdom
Constantinos Pamboukas Greece
Lee Anna Jones United States
Masami Fujisaki Japan
Anna Baraldi Italy
John Townsend United Kingdom
Ketna Patel relative to S. Mahmood United Kingdom S. Mahmood's profile →
Citations per field
00.5×2.6×
S. Mahmood · 1×
Citations per year

Countries citing papers authored by Ketna Patel

Since Specialization
Citations

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

Fields of papers citing papers by Ketna Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201595
2 201577
3 201318
4 201515
5 202013
6 201511
7 20149
8 20135
9 20204
10 20134
11 20213
12 20132
13 20191
14 20141
15 20171
16 20191
17 20141
18 20170

About Ketna Patel

Ketna Patel is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, Surgery and Oncology, having authored 18 papers that have together received 261 indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (8 papers), Cardiac Valve Diseases and Treatments (3 papers), Clinical practice guidelines implementation (2 papers), Infective Endocarditis Diagnosis and Management (2 papers), Cardiovascular Function and Risk Factors (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Congenital Heart Disease Studies (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Nephrology (62 citations), Genetics (57 citations), Hematology (43 citations), Molecular Biology (178 citations) and Cardiology and Cardiovascular Medicine (59 citations). Ketna Patel has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Carol Whelan, Julian D. Gillmore, Philip N. Hawkins, Rabya Sayed, Ashutosh Wechalekar, Shameem Mahmood, Sajitha Sachchithanantham, Helen J. Lachmann, Marianna Fontana and Janet A. Gilbertson. Their work appears in journals such as Blood, Heart, European Heart Journal - Quality of Care and Clinical Outcomes, International Journal of Cardiology 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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