Jyotsna Batra

10.4k total citations
97 papers, 2.0k citations indexed

About

Jyotsna Batra is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jyotsna Batra has authored 97 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 38 papers in Cancer Research and 24 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jyotsna Batra's work include MicroRNA in disease regulation (19 papers), Cancer-related molecular mechanisms research (19 papers) and Prostate Cancer Treatment and Research (16 papers). Jyotsna Batra is often cited by papers focused on MicroRNA in disease regulation (19 papers), Cancer-related molecular mechanisms research (19 papers) and Prostate Cancer Treatment and Research (16 papers). Jyotsna Batra collaborates with scholars based in Australia, India and United Kingdom. Jyotsna Batra's co-authors include Judith A. Clements, Srilakshmi Srinivasan, Balaram Ghosh, Radhika Patnala, Rajshekhar Chatterjee, Varinder Jeet, Leire Moya, Thomas Kryza, Balaram Ghosh and Ulaganathan Mabalirajan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature reviews. Cancer and PLoS ONE.

In The Last Decade

Jyotsna Batra

95 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jyotsna Batra Australia 25 893 643 387 258 248 97 2.0k
Qing Xu China 28 1.3k 1.5× 714 1.1× 286 0.7× 415 1.6× 162 0.7× 102 2.7k
Xiaoyan Jin China 25 1.1k 1.2× 599 0.9× 281 0.7× 261 1.0× 439 1.8× 80 2.1k
Bing Yang China 28 1.4k 1.6× 602 0.9× 373 1.0× 427 1.7× 115 0.5× 125 2.5k
Jacinta Serpa Portugal 26 1.1k 1.2× 501 0.8× 257 0.7× 319 1.2× 85 0.3× 77 2.0k
Ana Luísa Teixeira Portugal 22 987 1.1× 634 1.0× 368 1.0× 241 0.9× 74 0.3× 89 1.8k
Ying Gao China 27 1.6k 1.7× 580 0.9× 193 0.5× 322 1.2× 114 0.5× 127 2.6k
Pei Zhang China 23 1.2k 1.3× 636 1.0× 375 1.0× 356 1.4× 96 0.4× 109 2.1k
Irene Mancini Italy 29 649 0.7× 466 0.7× 432 1.1× 329 1.3× 74 0.3× 61 1.7k
Wei Tang United States 29 1.5k 1.6× 687 1.1× 306 0.8× 691 2.7× 90 0.4× 88 2.8k
Peter Ellinghaus Germany 28 1.6k 1.8× 544 0.8× 380 1.0× 444 1.7× 271 1.1× 74 3.1k

Countries citing papers authored by Jyotsna Batra

Since Specialization
Citations

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

Fields of papers citing papers by Jyotsna Batra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jyotsna Batra

This figure shows the co-authorship network connecting the top 25 collaborators of Jyotsna Batra. A scholar is included among the top collaborators of Jyotsna Batra 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 Jyotsna Batra. Jyotsna Batra 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.
Srinivasan, Srilakshmi, et al.. (2025). Lactoferrin conjugated radicicol nanoparticles enhanced drug delivery and cytotoxicity in prostate cancer cells. European Journal of Pharmacology. 991. 177300–177300. 7 indexed citations
2.
Chen, Yang, Antonia RuJia Sun, Jennifer H. Gunter, et al.. (2024). Comparative Analysis of the Therapeutic Potential of Extracellular Vesicles Secreted by Aged and Young Bone Marrow‐Derived Mesenchymal Stem Cells in Osteoarthritis Pathogenesis. Cell Proliferation. 58(4). e13776–e13776. 2 indexed citations
3.
Hassanian, Seyed Mahdi, Ladan Goshayeshi, Mohammad Reza Abbaszadegan, et al.. (2024). G-Protein Signaling Modulator 2 as a Potential Biomarker in Colorectal Cancer: Integrative Analysis Using Genetic Profiling and Pan-Cancer Studies. Genes. 15(4). 474–474. 1 indexed citations
4.
Khalili‐Tanha, Ghazaleh, Ghazaleh Pourali, Hamid Fiuji, et al.. (2024). The diagnostic and prognostic value of C1orf174 in colorectal cancer. Bioimpacts. 15. 30566–30566. 1 indexed citations
5.
Koistinen, Hannu, Morley D. Hollenberg, Antoine Dufour, et al.. (2023). The roles of proteases in prostate cancer. IUBMB Life. 75(6). 493–513. 19 indexed citations
6.
Fisher, Mark, et al.. (2023). Dynamics and recognition of homeodomain containing protein‐DNA complex of IRX4. Proteins Structure Function and Bioinformatics. 92(2). 282–301. 1 indexed citations
7.
Rentería, Miguel E., et al.. (2023). Integrative competing endogenous RNA network analyses identify novel lncRNA and genes implicated in metastatic breast cancer. Scientific Reports. 13(1). 2423–2423. 2 indexed citations
8.
Moradi, Afshin, et al.. (2022). Identification of Candidate mRNA Isoforms for Prostate Cancer-Risk SNPs Utilizing Iso-eQTL and sQTL Methods. International Journal of Molecular Sciences. 23(20). 12406–12406. 1 indexed citations
9.
Whatmore, Paul, et al.. (2022). IsomiR-eQTL: A Cancer-Specific Expression Quantitative Trait Loci Database of miRNAs and Their Isoforms. International Journal of Molecular Sciences. 23(20). 12493–12493. 1 indexed citations
10.
11.
12.
Moya, Leire, et al.. (2019). Assessment of miR-98-5p, miR-152-3p, miR-326 and miR-4289 Expression as Biomarker for Prostate Cancer Diagnosis. International Journal of Molecular Sciences. 20(5). 1154–1154. 64 indexed citations
13.
Farashi, Samaneh, Thomas Kryza, Judith A. Clements, & Jyotsna Batra. (2018). Post-GWAS in prostate cancer: from genetic association to biological contribution. Nature reviews. Cancer. 19(1). 46–59. 66 indexed citations
14.
Batra, Jyotsna, et al.. (2017). A microRNA molecular signature of aggressive prostate cancer. Translational Cancer Research. 6(1). 1 indexed citations
15.
Dong, Ying, et al.. (2014). Transforming the future of treatment for ovarian cancer. QUT ePrints (Queensland University of Technology). 1 indexed citations
16.
Lose, Felicity, Mitchell G. Lawrence, Srilakshmi Srinivasan, et al.. (2012). Kallikrein 14 is down-regulated by androgen receptor signalling and harbours genetic variation that is associated with prostate tumour aggressiveness. Faculty of Health; Institute of Health and Biomedical Innovation. 1 indexed citations
17.
Soni, Abha, Anju Bansal, Ashwani Kumar Mishra, et al.. (2012). Association of Androgen Receptor, Prostate-Specific Antigen, and CYP19 Gene Polymorphisms with Prostate Carcinoma and Benign Prostatic Hyperplasia in a North Indian Population. Genetic Testing and Molecular Biomarkers. 16(8). 835–840. 12 indexed citations
18.
Sharma, Mamta, Jyotsna Batra, Ulaganathan Mabalirajan, et al.. (2008). A Genetic Variation in Inositol Polyphosphate 4 Phosphatase A Enhances Susceptibility to Asthma. American Journal of Respiratory and Critical Care Medicine. 177(7). 712–719. 44 indexed citations
19.
Batra, Jyotsna, et al.. (2005). CCR5 Δ32 deletion and atopic asthma in India. Thorax. 60(1). 85–85. 5 indexed citations
20.
Chatterjee, Rajshekhar, et al.. (2005). Interleukin‐10 promoter polymorphisms and atopic asthma in North Indians. Clinical & Experimental Allergy. 35(7). 914–919. 55 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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