Chandran S. Abhinand

739 total citations
30 papers, 512 citations indexed

About

Chandran S. Abhinand is a scholar working on Molecular Biology, Complementary and alternative medicine and Computational Theory and Mathematics. According to data from OpenAlex, Chandran S. Abhinand has authored 30 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Complementary and alternative medicine and 5 papers in Computational Theory and Mathematics. Recurrent topics in Chandran S. Abhinand's work include Computational Drug Discovery Methods (5 papers), Phytochemicals and Medicinal Plants (5 papers) and Angiogenesis and VEGF in Cancer (4 papers). Chandran S. Abhinand is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Phytochemicals and Medicinal Plants (5 papers) and Angiogenesis and VEGF in Cancer (4 papers). Chandran S. Abhinand collaborates with scholars based in India, France and United States. Chandran S. Abhinand's co-authors include P. R. Sudhakaran, Rajesh Raju, Sasikumar J. Soumya, Oommen V. Oommen, Achuthsankar S. Nair, Thottethodi Subrahmanya Keshava Prasad, Rajesh P. Shastry, A. Helen, Pallu Reddanna and Prashant Kumar Modi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Chandran S. Abhinand

26 papers receiving 507 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chandran S. Abhinand India 9 292 86 58 53 44 30 512
Fangcheng Zhang China 11 338 1.2× 122 1.4× 61 1.1× 83 1.6× 60 1.4× 17 533
Siyuan Yin China 15 271 0.9× 91 1.1× 58 1.0× 61 1.2× 26 0.6× 38 518
Qi Huang China 16 287 1.0× 100 1.2× 124 2.1× 67 1.3× 32 0.7× 47 572
Tracey R. O’Donovan Ireland 12 321 1.1× 123 1.4× 80 1.4× 73 1.4× 29 0.7× 20 553
Lingmei Li China 15 385 1.3× 90 1.0× 87 1.5× 58 1.1× 34 0.8× 38 613
Juan Qin China 18 330 1.1× 71 0.8× 104 1.8× 41 0.8× 67 1.5× 41 734
Zunqi Hu China 12 294 1.0× 154 1.8× 73 1.3× 70 1.3× 54 1.2× 27 495
Qian Dong China 16 427 1.5× 201 2.3× 61 1.1× 59 1.1× 27 0.6× 35 698

Countries citing papers authored by Chandran S. Abhinand

Since Specialization
Citations

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

Fields of papers citing papers by Chandran S. Abhinand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chandran S. Abhinand. 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 Chandran S. Abhinand. The network helps show where Chandran S. Abhinand may publish in the future.

Co-authorship network of co-authors of Chandran S. Abhinand

This figure shows the co-authorship network connecting the top 25 collaborators of Chandran S. Abhinand. A scholar is included among the top collaborators of Chandran S. Abhinand 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 Chandran S. Abhinand. Chandran S. Abhinand 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
1.
2.
Ananthakrishnan, Ashwin N., et al.. (2025). Transcriptome Profiling and Viral−Human Interactome Insights Into HBV‐Driven Oncogenic Alterations in Hepatocellular Carcinoma. Microbiology and Immunology. 69(6). 326–338. 1 indexed citations
3.
Ravindran, Shilpa, et al.. (2025). REST Is Restless in Neuronal and Non-Neuronal Virus Infections: An In Silico Analysis-Based Perspective. Viruses. 17(2). 234–234. 1 indexed citations
4.
Dagamajalu, Shobha, et al.. (2025). Mapping growth differentiation factor-15 (GDF15)-mediated signaling pathways in cancer: insights into its role across different cancer types. Discover Oncology. 16(1). 386–386. 4 indexed citations
5.
6.
Naik, Prashantha, et al.. (2024). Unveiling Actin Cytoskeleton Role in Mediating Chikungunya-Associated Arthritis: An Integrative Proteome–Metabolome Study. Vector-Borne and Zoonotic Diseases. 24(11). 753–762. 3 indexed citations
7.
Soumya, Sasikumar J., et al.. (2024). Multi-target and natural product-based multi-drug approach for anti-VEGF resistance in glioblastoma. SHILAP Revista de lepidopterología. 567–582. 2 indexed citations
8.
Modi, Prashant Kumar, et al.. (2024). Meta-analysis of the serum/plasma proteome identifies significant associations between COVID-19 with Alzheimer’s/Parkinson’s diseases. Journal of NeuroVirology. 30(1). 57–70. 6 indexed citations
9.
Skariyachan, Sinosh, et al.. (2024). Computational screening of potential anti-inflammatory leads from Jeevaneeya Rasayana plants targeting COX-2 and 5- LOX by molecular docking and dynamic simulation approaches. Computers in Biology and Medicine. 171. 108164–108164. 6 indexed citations
10.
Abhinand, Chandran S., et al.. (2024). Arachidonic acid regulates pluripotency by modulating cellular energetics via fatty acid synthesis and mitochondrial fission. Biochemical and Biophysical Research Communications. 739. 150557–150557. 1 indexed citations
11.
Krishnan, Deepak G., et al.. (2024). Epstein–Barr Virus: Human Interactome Reveals New Molecular Insights into Viral Pathogenesis for Potential Therapeutics and Antiviral Drug Discovery. OMICS A Journal of Integrative Biology. 28(1). 32–44. 2 indexed citations
12.
Dagamajalu, Shobha, Anoop Kumar G. Velikkakath, Chandran S. Abhinand, et al.. (2024). A global phosphosite-correlated network map of Thousand And One Kinase 1 (TAOK1). The International Journal of Biochemistry & Cell Biology. 170. 106558–106558. 12 indexed citations
13.
Abhinand, Chandran S., et al.. (2024). Design, development and characterization of a chimeric protein with disulfide reductase and protease domain showing keratinase activity. International Journal of Biological Macromolecules. 278(Pt 4). 135025–135025. 3 indexed citations
14.
15.
Usha, Talambedu, et al.. (2024). Investigating emodin derivatives against SARS-CoV-2 found in medicinal herbs. Kuwait Journal of Science. 51(4). 100265–100265. 2 indexed citations
16.
Abhinand, Chandran S., Rajesh Raju, Thottethodi Subrahmanya Keshava Prasad, et al.. (2022). SARS-CoV-2 variants infectivity prediction and therapeutic peptide design using computational approaches. Journal of Biomolecular Structure and Dynamics. 41(20). 11166–11177. 3 indexed citations
17.
Abhinand, Chandran S., et al.. (2020). Potential protease inhibitors and their combinations to block SARS-CoV-2. Journal of Biomolecular Structure and Dynamics. 40(2). 903–917. 18 indexed citations
18.
Abhinand, Chandran S., et al.. (2020). Multiple Targets Directed Multiple Ligands: An In Silico and In Vitro Approach to Evaluating the Effect of Triphala on Angiogenesis. Biomolecules. 10(2). 177–177. 16 indexed citations
19.
Raju, Rajesh, et al.. (2019). Temporal VEGFA responsive genes in HUVECs: Gene signatures and potential ligands/receptors fine-tuning angiogenesis. Journal of Cell Communication and Signaling. 13(4). 561–571. 11 indexed citations
20.
Abhinand, Chandran S., et al.. (2016). VEGF-A/VEGFR2 signaling network in endothelial cells relevant to angiogenesis. Journal of Cell Communication and Signaling. 10(4). 347–354. 352 indexed citations

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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