Kalaiselvi Palanisamy

604 total citations
16 papers, 433 citations indexed

About

Kalaiselvi Palanisamy is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Kalaiselvi Palanisamy has authored 16 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Epidemiology. Recurrent topics in Kalaiselvi Palanisamy's work include Extracellular vesicles in disease (3 papers), MicroRNA in disease regulation (3 papers) and Autophagy in Disease and Therapy (3 papers). Kalaiselvi Palanisamy is often cited by papers focused on Extracellular vesicles in disease (3 papers), MicroRNA in disease regulation (3 papers) and Autophagy in Disease and Therapy (3 papers). Kalaiselvi Palanisamy collaborates with scholars based in Taiwan, India and China. Kalaiselvi Palanisamy's co-authors include Chi‐Yuan Li, Kuo‐Ting Sun, Arumugam Abirami, Srinivasan Nithiyanantham, Mohamad Fawzi Mahomoodally, Gökhan Zengin, Gopalakrishnan Srinivasan, Tung‐Min Yu, I‐Kuan Wang and Shih‐Sheng Chang and has published in prestigious journals such as Scientific Reports, British Journal of Pharmacology and Journal of Cellular Physiology.

In The Last Decade

Kalaiselvi Palanisamy

16 papers receiving 427 citations

Peers

Kalaiselvi Palanisamy
Comparison fields: 5 of 79
  • Molecular Biology 182
  • Cancer Research 121
  • Nutrition and Dietetics 70
  • Epidemiology 55
  • Food Science 53
Replace Stefania Lama with:
Stefania Lama Italy
Eun Suk Ha South Korea
Magdalena Coetzee South Africa
Dawei Lian China
Samira Asghari Iran
Chu-Tian Mai China
Sawako Moriwaki Japan
W Roszkowska-Jakimiec Poland
Ping Ren China
Stefania Lama Italy View profile →
Citations per field, relative to Kalaiselvi Palanisamy
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Citations per year, relative to Kalaiselvi Palanisamy
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Countries citing papers authored by Kalaiselvi Palanisamy

Since Specialization
Citations

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

Fields of papers citing papers by Kalaiselvi Palanisamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kalaiselvi Palanisamy

This figure shows the co-authorship network connecting the top 25 collaborators of Kalaiselvi Palanisamy. A scholar is included among the top collaborators of Kalaiselvi Palanisamy 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 Kalaiselvi Palanisamy. Kalaiselvi Palanisamy 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
# Work Indexed citations
1 11
2 9
3 16
4 16
5 18
6 104
7 15
8 22
9 50
10 17
11 22
12 75
13 18
14 15
15 13
16
Correlation of autoimmune reactivity with hepatitis B and C virus (HBV and HCV) infection in histologically proven chronic liver diseases.
12

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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2026