Sathishkumar Chandrakumar

1.6k citations
16 papers · 1.2k indexed · h-index 14
Topics
MicroRNA in disease regulation (3 papers)Adipose Tissue and Metabolism (3 papers)Adipokines, Inflammation, and Metabolic Diseases (3 papers)
Partner nations
IndiaUnited StatesFrance

In The Last Decade

Sathishkumar Chandrakumar

16 papers receiving 1.2k citations

Peers

Sathishkumar Chandrakumar
Comparison fields: 5 of 102
  • Molecular Biology 572
  • Cancer Research 349
  • Physiology 312
  • Endocrinology, Diabetes and Metabolism 288
  • Epidemiology 220
Replace Giulia Matacchione with:
Giulia Matacchione Italy
Huiping Yuan China
Paúl Cordero United Kingdom
José O. Alemán United States
Preethi Cherian Kuwait
Klelia D. Salpea Greece
Xiaoquan Zhu China
Amy Cameron United Kingdom
Olivier Bézy United States
Daniel Castellano‐Castillo Spain
Sathishkumar Chandrakumar relative to Giulia Matacchione Italy Giulia Matacchione's profile →
Citations per field
00.5×4.2×
Giulia Matacchione · 1×
Citations per year

Countries citing papers authored by Sathishkumar Chandrakumar

Since Specialization
Citations

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

Fields of papers citing papers by Sathishkumar Chandrakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sathishkumar Chandrakumar

This figure shows the co-authorship network connecting the top 25 collaborators of Sathishkumar Chandrakumar. A scholar is included among the top collaborators of Sathishkumar Chandrakumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sathishkumar Chandrakumar. Sathishkumar Chandrakumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 13
2 6
3 2
4 14
5 60
6 149
7 81
8 149
9 66
10 63
11 54
12 52
13 100
14 21
15 200
16 197

About Sathishkumar Chandrakumar

Sathishkumar Chandrakumar is a scholar working on Aging, Geriatrics and Gerontology and Health Information Management, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Adipose Tissue and Metabolism (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Aging (44 citations), Cancer Research (349 citations) and Endocrinology, Diabetes and Metabolism (288 citations). Sathishkumar Chandrakumar has collaborated with scholars based in India, United States and France. Frequent co-authors include Viswanathan Mohan, Prabu Paramasivam, Muthuswamy Balasubramanyam, Kuppan Gokulakrishnan, Mahalingam Balakumar, Harish Ranjani, Aravind Sivasubramanian, Finny Monickaraj, Sundaram Selvam and Ambady Ramachandran. Their work appears in journals such as PLoS ONE, Diabetes and Diabetologia.

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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