Pavithra Premkumar

616 citations
10 papers · 525 · h-index 8

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 2
    • Muscle Physiology and Disorders 6
    • Mitochondrial Function and Pathology 4
    • Genomics, phytochemicals, and oxidative stress 1

Pavithra Premkumar

10 papers receiving 523 citations

Peers

Pavithra Premkumar
Comparison fields: 5 of 64
  • Aging 26
  • Neurology 47
  • Physiology 142
  • Molecular Biology 263
  • Rehabilitation 17
Replace Sophia M. Raefsky with:
Sophia M. Raefsky United States
Martin Wohlwend Norway
Jiling Liang China
Die Pu China
Ning Jiang China
Eszter Banki Hungary
Jinhee Woo South Korea
Gabriela Farias Quipildor United States
Malin Nilsson Denmark
Małgorzata Kalisz Poland
Pavithra Premkumar relative to Sophia M. Raefsky United States Sophia M. Raefsky's profile →
Citations per field
00.5×1.5×2.0×
Sophia M. Raefsky · 1×
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 2018142
2 201883
3 201877
4 201874
5 201959
6 201937
7 202037
8 201712
9 20233
10 20181

About Pavithra Premkumar

Pavithra Premkumar is a scholar working on Aging, Molecular Biology, Neurology, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 525 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Mitochondrial Function and Pathology (4 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Adipose Tissue and Metabolism (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper) and Neurotransmitter Receptor Influence on Behavior (1 paper). The work is most often cited by research in Aging (26 citations), Neurology (47 citations), Physiology (142 citations), Molecular Biology (263 citations) and Rehabilitation (17 citations). Pavithra Premkumar has collaborated with scholars based in United States. Frequent co-authors include Holly Van Remmen, Shylesh Bhaskaran, Rojina Ranjit, Michael T Kinter, Gavin A. Pharaoh, Rizwan Qaisar, Bumsoo Ahn, Kavithalakshmi Sataranatarajan, Luke I. Szweda and Sreemathi Logan. Their work appears in journals such as Redox Biology, Journal of Cachexia Sarcopenia and Muscle, Neuropharmacology, Molecular and Cellular Endocrinology and GeroScience.

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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