Sumit Verma

1.5k citations
75 papers · 918 indexed · h-index 15

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
    • Neurogenetic and Muscular Disorders Research
    • Genetic Syndromes and Imprinting
    • Kruppel-like factors research
    • Cancer-related gene regulation
    • Muscle Physiology and Disorders
    • RNA modifications and cancer

Papers in

    • RNA modifications and cancer 7
    • Muscle Physiology and Disorders 7
    • Kruppel-like factors research 3
    • Cardiac Arrhythmias and Treatments 7
    • Cardiac pacing and defibrillation studies 4
    • Atrial Fibrillation Management and Outcomes 3

Sumit Verma

66 papers receiving 900 citations

Peers

Sumit Verma
Comparison fields: 5 of 98
  • Genetics 91
  • Molecular Biology 431
  • Neurology 83
  • Genetics 149
  • Cardiology and Cardiovascular Medicine 104
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Citations per field
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Citations per year

Countries citing papers authored by Sumit Verma

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995304
2 201256
3 200449
4 202140
5 202033
6
Childhood trauma profile at a tertiary care hospital in India.
200932
7 201030
8 200823
9 200623
10 201320
11 202019
12 200716
13 202016
14 201715
15 201914
16 202013
17
Hyperbaric oxygen treatment for post-radiation central nervous system injury: a retrospective case series.
201413
18 202213
19 201512
20 20229

About Sumit Verma

Sumit Verma is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Neurology and Genetics, having authored 75 papers that have together received 918 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (9 papers), RNA modifications and cancer (7 papers), Cardiac Arrhythmias and Treatments (7 papers), Muscle Physiology and Disorders (7 papers), Myasthenia Gravis and Thymoma (5 papers), Cardiac pacing and defibrillation studies (4 papers), Kruppel-like factors research (3 papers) and Atrial Fibrillation Management and Outcomes (3 papers). The work is most often cited by research in Genetics (91 citations), Molecular Biology (431 citations), Neurology (83 citations), Genetics (149 citations) and Cardiology and Cardiovascular Medicine (104 citations). Sumit Verma has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Ute Schaeper, T. Subramanian, G. Chinnadurai, Janice M. Boyd, Erik J. Uhlmann, Harry T. Whelan, Jenny Lin, Brendan J. Quirk, Rakesh Lodha and Ellen Buchmann. Their work appears in journals such as Muscle & Nerve, Canadian Journal of Cardiology, Neurology, Pediatric Neurology and Proceedings of the National Academy of Sciences.

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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