Jatin Arora

2.0k total citations
9 papers, 374 citations indexed

About

Jatin Arora is a scholar working on Molecular Biology, Immunology and Virology. According to data from OpenAlex, Jatin Arora has authored 9 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Virology. Recurrent topics in Jatin Arora's work include vaccines and immunoinformatics approaches (2 papers), HIV Research and Treatment (2 papers) and T-cell and B-cell Immunology (2 papers). Jatin Arora is often cited by papers focused on vaccines and immunoinformatics approaches (2 papers), HIV Research and Treatment (2 papers) and T-cell and B-cell Immunology (2 papers). Jatin Arora collaborates with scholars based in United States, United Kingdom and Germany. Jatin Arora's co-authors include Param Priya Singh, Hervé Isambert, Thomas D. Seeley, Mandy M. Y. Tin, Alexander S. Mikheyev, Jacques Fellay, Tobias L. Lenz, Paul J. McLaren, Mary Carrington and Soumya Raychaudhuri and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Jatin Arora

7 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jatin Arora United States 7 151 133 112 51 47 9 374
Praveen Baskaran Germany 14 201 1.3× 99 0.7× 58 0.5× 14 0.3× 56 1.2× 24 495
Alina Garbuzov United States 7 192 1.3× 101 0.8× 174 1.6× 49 1.0× 166 3.5× 7 593
Qingxuan Song United States 12 190 1.3× 37 0.3× 80 0.7× 29 0.6× 19 0.4× 23 381
Šoňa Peková Czechia 13 178 1.2× 165 1.2× 47 0.4× 74 1.5× 47 1.0× 35 552
Carla C. Judice Brazil 12 121 0.8× 143 1.1× 37 0.3× 122 2.4× 117 2.5× 14 406
Marie-Véronique Demattei France 13 250 1.7× 74 0.6× 40 0.4× 19 0.4× 57 1.2× 22 466
Roberto Ferrarese Germany 15 273 1.8× 53 0.4× 199 1.8× 32 0.6× 169 3.6× 24 596
Yusuke Murase Japan 13 437 2.9× 143 1.1× 56 0.5× 31 0.6× 13 0.3× 26 617
Arpita Kulkarni United States 10 213 1.4× 58 0.4× 125 1.1× 30 0.6× 20 0.4× 17 449
Justin T. Kos United States 10 121 0.8× 34 0.3× 193 1.7× 14 0.3× 30 0.6× 13 344

Countries citing papers authored by Jatin Arora

Since Specialization
Citations

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

Fields of papers citing papers by Jatin Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jatin Arora

This figure shows the co-authorship network connecting the top 25 collaborators of Jatin Arora. A scholar is included among the top collaborators of Jatin Arora 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 Jatin Arora. Jatin Arora 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.
Pandey, Aditya S., et al.. (2025). Prediction of Cervical Cancer with Machine Learning Approaches. Journal of The Institution of Engineers (India) Series B.
2.
Tegtmeyer, Matthew, Jatin Arora, Samira Asgari, et al.. (2024). High-dimensional phenotyping to define the genetic basis of cellular morphology. Nature Communications. 15(1). 347–347. 21 indexed citations
3.
Arora, Jatin, A. Mesut Erzurumluoglu, Stephen A. Stanhope, et al.. (2024). Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction. Journal of the American Medical Informatics Association. 32(3). 435–446.
4.
Mysore, Vijayashree, Kazuhiro Furuhashi, Jatin Arora, et al.. (2022). Monocytes transition to macrophages within the inflamed vasculature via monocyte CCR2 and endothelial TNFR2. The Journal of Experimental Medicine. 219(5). 47 indexed citations
5.
Gutiérrez‐Arcelus, María, Yuriy Baglaenko, Jatin Arora, et al.. (2020). Allele-specific expression changes dynamically during T cell activation in HLA and other autoimmune loci. Nature Genetics. 52(3). 247–253. 70 indexed citations
6.
Arora, Jatin, Paul J. McLaren, Nimisha Chaturvedi, et al.. (2019). HIV peptidome-wide association study reveals patient-specific epitope repertoires associated with HIV control. Proceedings of the National Academy of Sciences. 116(3). 944–949. 15 indexed citations
7.
Arora, Jatin, Federica Pierini, Paul J. McLaren, et al.. (2019). HLA Heterozygote Advantage against HIV-1 Is Driven by Quantitative and Qualitative Differences in HLA Allele-Specific Peptide Presentation. Molecular Biology and Evolution. 37(3). 639–650. 52 indexed citations
8.
Singh, Param Priya, Jatin Arora, & Hervé Isambert. (2015). Identification of Ohnolog Genes Originating from Whole Genome Duplication in Early Vertebrates, Based on Synteny Comparison across Multiple Genomes. PLoS Computational Biology. 11(7). e1004394–e1004394. 97 indexed citations
9.
Mikheyev, Alexander S., Mandy M. Y. Tin, Jatin Arora, & Thomas D. Seeley. (2015). Museum samples reveal rapid evolution by wild honey bees exposed to a novel parasite. Nature Communications. 6(1). 7991–7991. 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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