Neha Dubey

406 total citations
8 papers, 244 citations indexed

About

Neha Dubey is a scholar working on Infectious Diseases, Molecular Biology and Immunology. According to data from OpenAlex, Neha Dubey has authored 8 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Neha Dubey's work include Tuberculosis Research and Epidemiology (3 papers), Signaling Pathways in Disease (2 papers) and interferon and immune responses (1 paper). Neha Dubey is often cited by papers focused on Tuberculosis Research and Epidemiology (3 papers), Signaling Pathways in Disease (2 papers) and interferon and immune responses (1 paper). Neha Dubey collaborates with scholars based in India, United States and Ireland. Neha Dubey's co-authors include Yogendra Singh, Aditya Kumar Sharma, Neha Dhasmana, Meetu Gupta, Nishant Kumar, Vinay Kumar Nandicoori, Suresh Kumar, Mehak Zahoor Khan, Chanchal Sur Chowdhury and Asya Smirnov and has published in prestigious journals such as PLoS ONE, The Journal of Infectious Diseases and Cell Host & Microbe.

In The Last Decade

Neha Dubey

7 papers receiving 244 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neha Dubey India 6 119 63 56 52 31 8 244
Hannah Michaela Behrens Germany 7 107 0.9× 83 1.3× 33 0.6× 45 0.9× 19 0.6× 11 239
Mimi R. Precit United States 8 156 1.3× 86 1.4× 50 0.9× 32 0.6× 31 1.0× 13 321
Ky V. Hoang United States 11 143 1.2× 84 1.3× 54 1.0× 52 1.0× 27 0.9× 19 321
Vladimir E. Diaz-Ochoa United States 5 110 0.9× 56 0.9× 45 0.8× 53 1.0× 15 0.5× 8 285
Mohammed A. Saleh Egypt 8 86 0.7× 49 0.8× 34 0.6× 37 0.7× 39 1.3× 32 274
Gilberto Hideo Kaihami Brazil 12 127 1.1× 96 1.5× 138 2.5× 46 0.9× 28 0.9× 15 304
Katarzyna Mickiewicz United Kingdom 7 170 1.4× 34 0.5× 35 0.6× 70 1.3× 67 2.2× 12 353
Karleigh A. Hamblin United Kingdom 11 181 1.5× 58 0.9× 59 1.1× 30 0.6× 33 1.1× 15 376
Hinnerk Eilers Sweden 7 144 1.2× 42 0.7× 73 1.3× 35 0.7× 35 1.1× 9 343
Anubama Rajan United States 10 123 1.0× 120 1.9× 60 1.1× 22 0.4× 17 0.5× 18 332

Countries citing papers authored by Neha Dubey

Since Specialization
Citations

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

Fields of papers citing papers by Neha Dubey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Dubey

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

All Works

8 of 8 papers shown
1.
Gupta, Manoj Kumar & Neha Dubey. (2025). A Study of Cyber Crime Awareness among the Youth. 14(3). 97–100.
2.
Chowdhury, Chanchal Sur, Rachel L. Kinsella, Asya Smirnov, et al.. (2024). Type I IFN-mediated NET release promotes Mycobacterium tuberculosis replication and is associated with granuloma caseation. Cell Host & Microbe. 32(12). 2092–2111.e7. 10 indexed citations
3.
Kinsella, Rachel L., et al.. (2024). Type I IFN signaling in the absence of IRGM1 promotes M. tuberculosis replication in immune cells by suppressing T cell responses. Mucosal Immunology. 17(5). 1114–1127. 5 indexed citations
4.
Kinsella, Rachel L., Chanchal Sur Chowdhury, Sthefany M. Chavez, et al.. (2024). Autophagy promotes efficient T cell responses to restrict high-dose Mycobacterium tuberculosis infection in mice. Nature Microbiology. 9(3). 684–697. 20 indexed citations
5.
Gangwar, A., Jagriti Gupta, Bijaideep Dutta, et al.. (2024). Growth of dendritic CuS nanostructures for photoacoustic image guided Chemo-Photothermal therapy. Journal of Photochemistry and Photobiology A Chemistry. 459. 116084–116084. 4 indexed citations
6.
Dubey, Neha, Mehak Zahoor Khan, Suresh Kumar, et al.. (2021). Mycobacterium tuberculosis Peptidyl Prolyl Isomerase A Interacts With Host Integrin Receptor to Exacerbate Disease Progression. The Journal of Infectious Diseases. 224(8). 1383–1393. 21 indexed citations
7.
Sharma, Aditya Kumar, Neha Dhasmana, Neha Dubey, et al.. (2016). Bacterial Virulence Factors: Secreted for Survival. Indian Journal of Microbiology. 57(1). 1–10. 161 indexed citations
8.
Misra, Richa, Abhijit Maji, Gunjan Arora, et al.. (2014). Mycobacterium tuberculosis Cyclophilin A Uses Novel Signal Sequence for Secretion and Mimics Eukaryotic Cyclophilins for Interaction with Host Protein Repertoire. PLoS ONE. 9(2). e88090–e88090. 23 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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