Aruljothi Subramaniam

15 total papers · 729 total citations
8 papers, 652 citations indexed

About

Aruljothi Subramaniam is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Aruljothi Subramaniam has authored 8 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Immunology. Recurrent topics in Aruljothi Subramaniam's work include Immune Cell Function and Interaction (3 papers), Phytochemistry and biological activity of medicinal plants (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Aruljothi Subramaniam is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Phytochemistry and biological activity of medicinal plants (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Aruljothi Subramaniam collaborates with scholars based in United States, Singapore and India. Aruljothi Subramaniam's co-authors include Alan Prem Kumar, Gautam Sethi, Ekambaram Perumal, Kam M. Hui, Muthu K. Shanmugam, Kwang Seok Ahn, Luxi Chen, Kanjoormana Aryan Manu, Xiaoyun Dai and S. Nanjunda Swamy and has published in prestigious journals such as PLoS ONE, British Journal of Pharmacology and Transplantation.

In The Last Decade

Aruljothi Subramaniam

8 papers receiving 650 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Aruljothi Subramaniam 366 205 110 101 97 8 652
Ser Yue Loo 419 1.1× 119 0.6× 171 1.6× 131 1.3× 150 1.5× 13 736
Ravindra Kamath 519 1.4× 124 0.6× 115 1.0× 71 0.7× 97 1.0× 11 718
Chuan‐Chou Tu 329 0.9× 168 0.8× 160 1.5× 92 0.9× 106 1.1× 17 629
Julie A. Arlotti 459 1.3× 89 0.4× 106 1.0× 50 0.5× 99 1.0× 19 775
Jing Ying Wang 321 0.9× 157 0.8× 134 1.2× 41 0.4× 40 0.4× 19 605
Yi-Shih Ma 424 1.2× 93 0.5× 125 1.1× 60 0.6× 44 0.5× 14 735
Wenshan Xu 509 1.4× 155 0.8× 55 0.5× 71 0.7× 62 0.6× 16 719
Gabriela B. Iwanski 294 0.8× 86 0.4× 41 0.4× 142 1.4× 52 0.5× 8 613
Srishti Mishra 392 1.1× 88 0.4× 71 0.6× 59 0.6× 49 0.5× 14 779
Wen-Wen Huang 468 1.3× 78 0.4× 107 1.0× 60 0.6× 37 0.4× 19 697

Countries citing papers authored by Aruljothi Subramaniam

Since Specialization
Citations

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

Fields of papers citing papers by Aruljothi Subramaniam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aruljothi Subramaniam

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

All Works

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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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