Sumit Verma

1.5k citations
77 papers · 999 · h-index 16

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 6
    • Muscle Physiology and Disorders 5
    • Kruppel-like factors research 3
    • Cardiac Arrhythmias and Treatments 5
    • Cardiac pacing and defibrillation studies 4
    • Cardiac, Anesthesia and Surgical Outcomes 2

Sumit Verma

68 papers receiving 965 citations

Peers

Sumit Verma
Comparison fields: 5 of 95
  • Genetics 93
  • Molecular Biology 434
  • Neurology 80
  • Genetics 152
  • Cardiology and Cardiovascular Medicine 83
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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 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995320
2 201262
3 200452
4 202145
5 202033
6
Childhood trauma profile at a tertiary care hospital in India.
200932
7 200631
8 201030
9 200825
10 201323
11 202022
12 200720
13 201718
14 202018
15 202216
16
Hyperbaric oxygen treatment for post-radiation central nervous system injury: a retrospective case series.
201415
17 202014
18 201514
19 201914
20 202210

About Sumit Verma

Sumit Verma is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Neurology and Genetics, having authored 77 papers that have together received 999 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (6 papers), RNA modifications and cancer (6 papers), Myasthenia Gravis and Thymoma (5 papers), Muscle Physiology and Disorders (5 papers), Cardiac Arrhythmias and Treatments (5 papers), Cardiac pacing and defibrillation studies (4 papers), Kruppel-like factors research (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (2 papers). The work is most often cited by research in Genetics (93 citations), Molecular Biology (434 citations), Neurology (80 citations), Genetics (152 citations) and Cardiology and Cardiovascular Medicine (83 citations). Sumit Verma has collaborated with scholars based in United States, India and Canada. Frequent co-authors include G. Chinnadurai, T. Subramanian, Erik J. Uhlmann, Ute Schaeper, Janice M. Boyd, 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 Journal of Cardiovascular Electrophysiology.

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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