Jyothi Kumar

956 citations
11 papers · 801 · 1 hit paper · h-index 8

Impact in

Papers in

Jyothi Kumar

11 papers receiving 793 citations

Jyothi Kumar's Hit Papers

Genetic or Pharmacological Iron Chelation Prevents MPTP-Induced Neurotoxicity In Vivo 2003 · 526 citations
5260+7+15Years since publication100200300400500

Peers

Jyothi Kumar
Comparison fields: 5 of 90
  • Neurology 238
  • Neurology 133
  • Nutrition and Dietetics 181
  • Hematology 94
  • Biological Psychiatry 18
Replace Ferda Yantiri with:
Ferda Yantiri United States
Rapee Boonplueang United States
Lana Kupershmidt Israel
Maxx P. Horowitz United States
Georgia Taylor United States
Mahadevan Lakshminarasimhan United States
Alexey V. Berezhnov Russia
Seiichi Nagano Japan
Akemi Sotomatsu Japan
Daniel Little United Kingdom
Jyothi Kumar relative to Ferda Yantiri United States Ferda Yantiri's profile →
Citations per field
00.5×1.5×2.3×
Ferda Yantiri · 1×
Citations per year

Countries citing papers authored by Jyothi Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Jyothi Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Genetic or Pharmacological Iron Chelation Prevents MPTP-Induced Neurotoxicity In Vivo
Hit paper breakdown →
2003526
2 200590
3 201352
4 201940
5 200637
6 200633
7 201910
8 20227
9 20013
10
Effect of Corporate Restructuring on Shareholder's Value in the Information Technology Sector
20142
11 20191

About Jyothi Kumar

Jyothi Kumar is a scholar working on Molecular Biology, Pharmacology, Neurology, Hematology and Neurology, having authored 11 papers that have together received 801 indexed citations. Recurring topics across this work include Fungal Biology and Applications (2 papers), Fungal and yeast genetics research (2 papers), Iron Metabolism and Disorders (2 papers), Sulfur Compounds in Biology (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Neurological diseases and metabolism (2 papers), Psychological Well-being and Life Satisfaction (1 paper) and Coenzyme Q10 studies and effects (1 paper). The work is most often cited by research in Neurology (238 citations), Neurology (133 citations), Nutrition and Dietetics (181 citations), Hematology (94 citations) and Biological Psychiatry (18 citations). Jyothi Kumar has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Julie K. Andersen, Subramanian Rajagopalan, Robert A. Cherny, Deepinder Kaur, Ashley I. Bush, Ferda Yantiri, Veena Viswanath, M. Flint Beal, Rapee Boonplueang and Jun Qin Mo. Their work appears in journals such as Journal of Neurochemistry, Journal of Biological Chemistry, Brain Research, Science of Aging Knowledge Environment and Free Radical Biology and Medicine.

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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