Saravanan Vijayakumar

769 citations
39 papers · 548 indexed · h-index 12
Topics
Research on Leishmaniasis Studies (14 papers)Trypanosoma species research and implications (11 papers)Machine Learning in Bioinformatics (7 papers)
Partner nations
IndiaItaly

In The Last Decade

Saravanan Vijayakumar

36 papers receiving 543 citations

Peers

Saravanan Vijayakumar
Comparison fields: 5 of 75
  • Molecular Biology 380
  • Public Health, Environmental and Occupational Health 108
  • Epidemiology 78
  • Microbiology 71
  • Computational Theory and Mathematics 63
Replace Asifullah Khan with:
Asifullah Khan Pakistan
Fernando Berton Zanchi Brazil
Frank Zucker United States
Kristin D. Lane United States
Mariana T. Q. de Magalhães Brazil
Santanu Sasidharan India
Rahul Modak India
Bajarang Vasant Kumbhar India
Rayapadi G. Swetha India
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Saravanan Vijayakumar relative to Asifullah Khan Pakistan Asifullah Khan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Saravanan Vijayakumar

Since Specialization
Citations

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

Fields of papers citing papers by Saravanan Vijayakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saravanan Vijayakumar

This figure shows the co-authorship network connecting the top 25 collaborators of Saravanan Vijayakumar. A scholar is included among the top collaborators of Saravanan Vijayakumar 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 Saravanan Vijayakumar. Saravanan Vijayakumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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7 19
8 3
9 52
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Hepatoprotective activity of prunus persica peaches against paracetamol induced hepatotoxicity
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Haematological activity of Cucurbita maxima Linn. Pulp In Phenylhydrazine Induced Anaemic Rats.
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19 6
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About Saravanan Vijayakumar

Saravanan Vijayakumar is a scholar working on Microbiology, Public Health, Environmental and Occupational Health and Epidemiology, having authored 39 papers that have together received 548 indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (14 papers), Trypanosoma species research and implications (11 papers) and Machine Learning in Bioinformatics (7 papers). The work is most often cited by research in Microbiology (71 citations), Molecular Biology (380 citations) and Computational Theory and Mathematics (63 citations). Saravanan Vijayakumar has collaborated with scholars based in India and Italy. Frequent co-authors include N. Gautham, Pradeep Das, P.T.V. Lakshmi, A. Annamalai, Suresh Selvaraj, Ayaluru Murali, Subhomoi Borkotoky, Shanmughavel Piramanayagam, Vahab Ali and Ganesh Chandra Sahoo. Their work appears in journals such as Scientific Reports, International Journal of Biological Macromolecules and Acta Tropica.

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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