Vivek Chandra

3.8k total citations
79 papers, 2.7k citations indexed

About

Vivek Chandra is a scholar working on Materials Chemistry, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Vivek Chandra has authored 79 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Materials Chemistry, 20 papers in Biomedical Engineering and 18 papers in Electrical and Electronic Engineering. Recurrent topics in Vivek Chandra's work include Luminescence Properties of Advanced Materials (20 papers), Acoustic Wave Resonator Technologies (16 papers) and Luminescence and Fluorescent Materials (15 papers). Vivek Chandra is often cited by papers focused on Luminescence Properties of Advanced Materials (20 papers), Acoustic Wave Resonator Technologies (16 papers) and Luminescence and Fluorescent Materials (15 papers). Vivek Chandra collaborates with scholars based in India, United States and United Kingdom. Vivek Chandra's co-authors include B. P. Chandra, Piyush Jha, Shahid Jameel, Manjula Kalia, Cornelis Murre, R.N. Baghel, Sourya Bhattacharyya, Pandurangan Vijayanand, Ferhat Ay and Deepak Sehgal and has published in prestigious journals such as Cell, Nature Communications and Nature Genetics.

In The Last Decade

Vivek Chandra

71 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vivek Chandra India 29 797 792 486 476 399 79 2.7k
Xiao Li China 32 593 0.7× 771 1.0× 312 0.6× 88 0.2× 211 0.5× 148 3.8k
Rong Zhu China 30 197 0.2× 1.4k 1.7× 530 1.1× 101 0.2× 97 0.2× 136 3.0k
Wei Cheng United States 27 494 0.6× 1.9k 2.4× 900 1.9× 87 0.2× 100 0.3× 96 3.7k
Laura Sironi Italy 24 462 0.6× 379 0.5× 617 1.3× 112 0.2× 65 0.2× 85 1.9k
Seong‐Wook Lee South Korea 35 141 0.2× 2.3k 2.9× 370 0.8× 173 0.4× 272 0.7× 136 3.4k
A. Matsumoto Japan 38 1.1k 1.4× 897 1.1× 441 0.9× 27 0.1× 214 0.5× 230 5.8k
William Querbes United States 25 203 0.3× 3.8k 4.8× 644 1.3× 41 0.1× 190 0.5× 37 5.1k
Katrien Remaut Belgium 39 432 0.5× 2.8k 3.5× 897 1.8× 36 0.1× 113 0.3× 121 4.5k
Ine Lentacker Belgium 39 1.6k 2.1× 1.6k 2.0× 3.3k 6.7× 56 0.1× 409 1.0× 90 5.3k
Youdong Mao China 24 152 0.2× 2.1k 2.6× 343 0.7× 31 0.1× 215 0.5× 44 2.8k

Countries citing papers authored by Vivek Chandra

Since Specialization
Citations

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

Fields of papers citing papers by Vivek Chandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vivek Chandra

This figure shows the co-authorship network connecting the top 25 collaborators of Vivek Chandra. A scholar is included among the top collaborators of Vivek Chandra 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 Vivek Chandra. Vivek Chandra 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.
Mary, S. Prince, et al.. (2025). Multimodal image fusion for ich detection and classification using parallel Dl models. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 13(1).
2.
Somasagara, Ranganatha R., Ofer Cohen, Youngsoo Kim, et al.. (2025). Advancing Allogenic Cell Therapy with Automated iPSC Processing and Engineering: Benefits of a Closed Modular Approach.. Cytotherapy. 27(5). S47–S48.
3.
Li, Yingcong, Martina Dicker, Thomas Riffelmacher, et al.. (2025). Crohn’s Disease-associated variant in laccase domain containing 1 (LACC1) modulates T cell gene expression, metabolism and T cell function. Nature Communications. 16(1). 2577–2577.
4.
Jha, Piyush, Ayush Khare, Pranav Kumar Singh, & Vivek Chandra. (2024). Stimulus response of mechanoluminescence of SrAl2O4:Eu,Dy mixed with epoxy resin using uniaxial load. Journal of Molecular Structure. 1302. 137522–137522. 2 indexed citations
5.
Jha, Piyush, et al.. (2023). Tunable white-light emission and afterglow of Eu3+ doped Gd2Zr2O7 phosphors. Materials Letters. 347. 134598–134598. 2 indexed citations
6.
Jha, Piyush, Ayush Khare, Pranav Kumar Singh, & Vivek Chandra. (2023). Study of dynamical behaviour of prepared mechanoluminescence impact sensor based on ZnS:Mn and SrAl2O4:Eu, Yb phosphors. Journal of Luminescence. 258. 119805–119805. 5 indexed citations
7.
Eschweiler, Simon, Alice Wang, Ciro Ramírez-Suástegui, et al.. (2023). JAML immunotherapy targets recently activated tumor-infiltrating CD8+ T cells. Cell Reports. 42(2). 112040–112040. 9 indexed citations
8.
Schmiedel, Benjamin Joachim, Vicente Fajardo, Ariel Madrigal, et al.. (2022). Single-cell eQTL analysis of activated T cell subsets reveals activation and cell type–dependent effects of disease-risk variants. Science Immunology. 7(68). eabm2508–eabm2508. 38 indexed citations
9.
Schmiedel, Benjamin Joachim, Sourya Bhattacharyya, Ariel Madrigal, et al.. (2021). COVID-19 genetic risk variants are associated with expression of multiple genes in diverse immune cell types. Nature Communications. 12(1). 6760–6760. 40 indexed citations
10.
Chandra, Vivek, Sourya Bhattacharyya, Benjamin Joachim Schmiedel, et al.. (2020). Promoter-interacting expression quantitative trait loci are enriched for functional genetic variants. Nature Genetics. 53(1). 110–119. 71 indexed citations
11.
Zhu, Yina, Ke Gong, Matthew Denholtz, et al.. (2017). Comprehensive characterization of neutrophil genome topology. Genes & Development. 31(2). 141–153. 57 indexed citations
12.
Chandra, Vivek, Alexandra Bortnick, & Cornelis Murre. (2015). AID targeting: old mysteries and new challenges. Trends in Immunology. 36(9). 527–535. 46 indexed citations
13.
14.
Bhonsle, Devanand, Vivek Chandra, & G. R. Sinha. (2015). Guassian and Speckle Noise Removal from Ultrasound Images using Bivariate Shrinkage by Dual Tree Complex Wavelet Transform. 2(2). 1–5. 3 indexed citations
15.
16.
Chandra, Vivek, et al.. (2010). HEMIVERTEBRAE, ARE THEY ALWAYS SYMPTOMATIC?. 2(3). 5–12.
17.
Moin, Syed M., Vivek Chandra, Rahul Singh Arya, & Shahid Jameel. (2009). The hepatitis E virus ORF3 protein stabilizes HIF-1α and enhances HIF-1-mediated transcriptional activity through p300/CBP. Cellular Microbiology. 11(9). 1409–1421. 52 indexed citations
18.
Chandra, Vivek, et al.. (2008). Molecular biology and pathogenesis of hepatitis E virus. Journal of Biosciences. 33(4). 451–464. 181 indexed citations
19.
Chandra, Vivek, et al.. (2004). Theoretical approach to the tunneling mechanoluminescence produced during cleavage of II-VI semiconductors. Indian Journal of Engineering and Materials Sciences. 11(5). 421–428. 1 indexed citations
20.
Chandra, Vivek, et al.. (2003). Theoretical approach to lyoluminescence of organic materials. Indian Journal of Pure & Applied Physics. 41(11). 884–893. 1 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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