Jeyakumar Natarajan

1.4k citations
82 papers · 837 indexed · h-index 15
Topics
Biomedical Text Mining and Ontologies (21 papers)Bioinformatics and Genomic Networks (17 papers)Machine Learning in Bioinformatics (14 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEGene

In The Last Decade

Jeyakumar Natarajan

77 papers receiving 810 citations

Peers

Jeyakumar Natarajan
Comparison fields: 5 of 120
  • Molecular Biology 569
  • Artificial Intelligence 185
  • Computational Theory and Mathematics 85
  • Infectious Diseases 82
  • Cancer Research 70
Replace Haibin Liu with:
Haibin Liu China
Michael Yu United States
Qi Dai China
Katherine M. Collins United Kingdom
Salma Jamal India
Ezekiel Adebiyi Nigeria
Petr Hájek Czechia
Shanni Li China
Alessandro Fiori Italy
Jeyakumar Natarajan relative to Haibin Liu China Haibin Liu's profile →
Citations per field
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Haibin Liu · 1×
Citations per year

Countries citing papers authored by Jeyakumar Natarajan

Since Specialization
Citations

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

Fields of papers citing papers by Jeyakumar Natarajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeyakumar Natarajan

This figure shows the co-authorship network connecting the top 25 collaborators of Jeyakumar Natarajan. A scholar is included among the top collaborators of Jeyakumar Natarajan 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 Jeyakumar Natarajan. Jeyakumar Natarajan 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
1 0
2 1
3 0
4 3
5 12
6 1
7 3
8 3
9 8
10 1
11 5
12 12
13 2
14 49
15 8
16 11
17 0
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19 9
20 11

About Jeyakumar Natarajan

Jeyakumar Natarajan is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Molecular Biology, having authored 82 papers that have together received 837 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (21 papers), Bioinformatics and Genomic Networks (17 papers) and Machine Learning in Bioinformatics (14 papers). The work is most often cited by research in Molecular Biology (569 citations), Molecular Medicine (29 citations) and Artificial Intelligence (185 citations). Jeyakumar Natarajan has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Balu Bhasuran, S. Anusuya, Suresh Subramani, Kalpana Raja, Catherine Hack, Daniel Berrar, Werner Dubitzky, Shanmughavel Piramanayagam, Nikhil Maroli and Ponmalai Kolandaivel. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Gene.

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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