Pavithra Premkumar

618 citations
10 papers · 490 · h-index 8

Impact in

  • Physiology top 10%
    • Adipose Tissue and Metabolism
    • Nutrition and Health in Aging
    • Alzheimer's disease research and treatments
    • Exercise and Physiological Responses

Papers in

    • Mitochondrial Function and Pathology 4
    • Muscle Physiology and Disorders 4
    • Ion channel regulation and function 2
    • Genomics, phytochemicals, and oxidative stress 1

Pavithra Premkumar

10 papers receiving 489 citations

Peers

Pavithra Premkumar
Comparison fields: 5 of 72
  • Physiology 209
  • Rehabilitation 50
  • Aging 13
  • Biological Psychiatry 16
  • Neurology 41
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Sohee Moon South Korea
Jiling Liang China
Hannah J. Richter United States
Insu Kwon United States
Changfa Tang China
Steven J. Millership United Kingdom
Damian Józef Flis Poland
Christian Heilinger Germany
Benjamin Wronowski United States
Carmen Silva-Álvarez Chile
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Citations per field
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Citations per year

Countries citing papers authored by Pavithra Premkumar

Since Specialization
Citations

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

Fields of papers citing papers by Pavithra Premkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2018135
2 201875
3 201874
4 201872
5 201955
6 201934
7 202032
8 201710
9 20232
10 20181

About Pavithra Premkumar

Pavithra Premkumar is a scholar working on Molecular Biology, Physiology, Genetics, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 490 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (4 papers), Muscle Physiology and Disorders (4 papers), Ion channel regulation and function (2 papers), Cardiovascular and exercise physiology (1 paper), Neurogenetic and Muscular Disorders Research (1 paper), Metabolism and Genetic Disorders (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper) and Spinal Cord Injury Research (1 paper). The work is most often cited by research in Physiology (209 citations), Rehabilitation (50 citations), Aging (13 citations), Biological Psychiatry (16 citations) and Neurology (41 citations). Pavithra Premkumar has collaborated with scholars based in United States. Frequent co-authors include Holly Van Remmen, Rojina Ranjit, Shylesh Bhaskaran, Gavin Pharaoh, Michael Kinter, Rizwan Qaisar, Bumsoo Ahn, Kavithalakshmi Sataranatarajan, Luke I. Szweda and Satoshi Matsuzaki. Their work appears in journals such as Redox Biology, Journal of Cachexia Sarcopenia and Muscle, Molecular Neurobiology, Molecular and Cellular Endocrinology and Molecular Metabolism.

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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