Vikram Rajagopal

606 total citations
9 papers, 505 citations indexed

About

Vikram Rajagopal is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Vikram Rajagopal has authored 9 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Physiology and 3 papers in Immunology. Recurrent topics in Vikram Rajagopal's work include Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Trypanosoma species research and implications (2 papers) and Immune Response and Inflammation (2 papers). Vikram Rajagopal is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Trypanosoma species research and implications (2 papers) and Immune Response and Inflammation (2 papers). Vikram Rajagopal collaborates with scholars based in India and United States. Vikram Rajagopal's co-authors include Vijay K. Kalra, Ranjit K. Giri, Cage S. Johnson, Caryn S. Gonsalves, Sandip K. Basu, Amitabha Mukhopadhyay, Gauranga Mukhopadhyay, Sudha Singh, Nitin Patel and Shruti Agarwal and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Journal of Neurochemistry.

In The Last Decade

Vikram Rajagopal

9 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikram Rajagopal India 8 178 107 100 90 84 9 505
Mei-Chieh Chen Taiwan 14 232 1.3× 59 0.6× 58 0.6× 161 1.8× 66 0.8× 17 610
Chunhua Shi Canada 15 444 2.5× 35 0.3× 50 0.5× 101 1.1× 64 0.8× 49 677
Giorgina Mangano Italy 16 250 1.4× 59 0.6× 40 0.4× 144 1.6× 44 0.5× 37 744
Brian Henry Germany 11 497 2.8× 33 0.3× 88 0.9× 79 0.9× 84 1.0× 13 718
Wei‐Hsuan Tung Taiwan 11 295 1.7× 42 0.4× 50 0.5× 115 1.3× 27 0.3× 12 511
J. A. Robinson Australia 15 329 1.8× 130 1.2× 102 1.0× 108 1.2× 50 0.6× 24 771
Mathew Sajish United States 12 398 2.2× 42 0.4× 61 0.6× 44 0.5× 59 0.7× 18 787
Himanshi Narang India 10 320 1.8× 18 0.2× 68 0.7× 63 0.7× 39 0.5× 15 587
Hao Cheng China 19 497 2.8× 24 0.2× 73 0.7× 258 2.9× 64 0.8× 43 950
Takashi Naganawa Japan 8 402 2.3× 29 0.3× 48 0.5× 78 0.9× 81 1.0× 10 642

Countries citing papers authored by Vikram Rajagopal

Since Specialization
Citations

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

Fields of papers citing papers by Vikram Rajagopal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikram Rajagopal

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

All Works

9 of 9 papers shown
1.
Rajagopal, Vikram, et al.. (2014). Evaluation of target mRNA cleavage by aurorakinase B specific siRNA in prostate and hepatic cancer cells and its therapeutic potential in mouse models of liver cancer.. PubMed. 52(10). 943–51. 6 indexed citations
2.
Guha, Rajan, et al.. (2013). Vaccination with Leishmania Hemoglobin Receptor–Encoding DNA Protects Against Visceral Leishmaniasis. Science Translational Medicine. 5(202). 202ra121–202ra121. 58 indexed citations
3.
Addepalli, Murali K., et al.. (2011). VEGF-C differentially regulates VEGF-A expression in ocular and cancer cells; promotes angiogenesis via RhoA mediated pathway. Angiogenesis. 14(3). 371–380. 30 indexed citations
4.
Upadhyay, Shakti N., et al.. (2010). 9,10‐Dihydro‐2,5‐dimethoxyphenanthrene‐1,7‐diol, from Eulophia ochreata, inhibits inflammatory signalling mediated by Toll‐like receptors. British Journal of Pharmacology. 160(5). 1158–1170. 38 indexed citations
5.
Sharma, Ashwani Kumar, et al.. (2010). Novel synthetic gluco‐disaccharide RSCL‐0409 – a lipopolysaccharide‐induced Toll‐like receptor‐mediated signalling antagonist. FEBS Journal. 277(7). 1639–1652. 11 indexed citations
6.
Rajagopal, Vikram, et al.. (2006). A Novel Role of Hypoxia-Inducible Factor in Cobalt Chloride- and Hypoxia-Mediated Expression of IL-8 Chemokine in Human Endothelial Cells. The Journal of Immunology. 177(10). 7211–7224. 156 indexed citations
7.
Giri, Ranjit K., et al.. (2005). Mechanism of amyloid peptide induced CCR5 expression in monocytes and its inhibition by siRNA for Egr-1. American Journal of Physiology-Cell Physiology. 289(2). C264–C276. 28 indexed citations
8.
Rajagopal, Vikram, Sudha Singh, Nitin Patel, et al.. (2004). Hemoglobin Receptor in Leishmania Is a Hexokinase Located in the Flagellar Pocket. Journal of Biological Chemistry. 280(7). 5884–5891. 72 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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