Neeraj Dhar

6.3k total citations · 1 hit paper
71 papers, 3.3k citations indexed

About

Neeraj Dhar is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Neeraj Dhar has authored 71 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Infectious Diseases, 39 papers in Epidemiology and 23 papers in Molecular Biology. Recurrent topics in Neeraj Dhar's work include Tuberculosis Research and Epidemiology (41 papers), Mycobacterium research and diagnosis (30 papers) and Antibiotic Resistance in Bacteria (10 papers). Neeraj Dhar is often cited by papers focused on Tuberculosis Research and Epidemiology (41 papers), Mycobacterium research and diagnosis (30 papers) and Antibiotic Resistance in Bacteria (10 papers). Neeraj Dhar collaborates with scholars based in Switzerland, India and United States. Neeraj Dhar's co-authors include John D. McKinney, Giulia Manina, Yuichi Wakamoto, Stewart T. Cole, François Signorino‐Gelo, Vivek Rao, Stanislas Leibler, Remy Chait, Katrin Schneider and Claudia Sala and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Neeraj Dhar

67 papers receiving 3.3k citations

Hit Papers

Dynamic Persistence of Antibiotic-Stressed Mycobacteria 2013 2026 2017 2021 2013 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Dynamic Persistence of Antibiotic-Stressed Mycobacteria
    2013 402 citations Yuichi Wakamoto, Neeraj Dhar et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neeraj Dhar Switzerland 31 1.7k 1.5k 1.3k 612 556 71 3.3k
Miriam Braunstein United States 33 1.6k 0.9× 2.2k 1.5× 1.2k 1.0× 694 1.1× 398 0.7× 78 4.1k
Sarah A. Stanley United States 29 1.8k 1.1× 1.2k 0.8× 1.2k 0.9× 224 0.4× 342 0.6× 50 3.4k
Kyle H. Rohde United States 26 1.4k 0.9× 1.0k 0.7× 1.1k 0.9× 181 0.3× 328 0.6× 55 2.5k
Patricia A. Champion United States 21 1.1k 0.7× 639 0.4× 963 0.8× 225 0.4× 360 0.6× 39 1.8k
Tatiana D. Sirakova United States 29 2.0k 1.2× 1.3k 0.9× 1.7k 1.3× 249 0.4× 440 0.8× 34 3.3k
Jérôme Nigou France 35 1.6k 1.0× 1.2k 0.8× 1.7k 1.3× 150 0.2× 237 0.4× 89 3.5k
Michelle H. Larsen United States 30 2.0k 1.2× 937 0.6× 1.7k 1.3× 255 0.4× 261 0.5× 63 3.0k
Martin S. Pavelka United States 24 1.3k 0.8× 1.2k 0.8× 1.1k 0.8× 555 0.9× 446 0.8× 56 2.5k
Martine Gilleron France 41 1.8k 1.1× 1.7k 1.2× 2.0k 1.5× 176 0.3× 252 0.5× 118 4.9k
M. Sloan Siegrist United States 20 650 0.4× 1.0k 0.7× 527 0.4× 385 0.6× 225 0.4× 42 1.9k

Countries citing papers authored by Neeraj Dhar

Since Specialization
Citations

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

Fields of papers citing papers by Neeraj Dhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neeraj Dhar

This figure shows the co-authorship network connecting the top 25 collaborators of Neeraj Dhar. A scholar is included among the top collaborators of Neeraj Dhar 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 Neeraj Dhar. Neeraj Dhar 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
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Hannebelle, Mélanie T. M., A. Dubois, Maxime Jan, et al.. (2023). Mechanopathology of biofilm-like Mycobacterium tuberculosis cords. Cell. 186(23). 5135–5150.e28. 27 indexed citations
4.
Dhar, Neeraj, et al.. (2023). Mycobacterium tuberculosis and SARS-CoV-2 co-infections: The knowns and unknowns. iScience. 26(5). 106629–106629. 4 indexed citations
5.
Thacker, Vivek V., et al.. (2021). Rapid endotheliitis and vascular damage characterize SARS‐CoV‐2 infection in a human lung‐on‐chip model. EMBO Reports. 22(6). e52744–e52744. 103 indexed citations
6.
Sharma, Kunal, Vivek V. Thacker, Neeraj Dhar, et al.. (2021). Early invasion of the bladder wall by solitary bacteria protects UPEC from antibiotics and neutrophil swarms in an organoid model. Cell Reports. 36(3). 109351–109351. 30 indexed citations
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Sharma, Kunal, Neeraj Dhar, Vivek V. Thacker, et al.. (2021). Dynamic persistence of UPEC intracellular bacterial communities in a human bladder-chip model of urinary tract infection. eLife. 10. 68 indexed citations
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Dhar, Neeraj, et al.. (2019). Computational Analysis of the Mutual Constraints between Single‐Cell Growth and Division Control Models. Advanced Biosystems. 4(2). e1900103–e1900103. 5 indexed citations
10.
Gulzar, G. M., et al.. (2019). Genotype 1 and 3 Response to Velpatasvir and Sofosbuvir in Chronic Hepatitis C in the Kashmiri Population: An Observational Study. Journal of Clinical and Experimental Hepatology. 10(2). 155–162.
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Manina, Giulia, Neeraj Dhar, & John D. McKinney. (2014). Stress and Host Immunity Amplify Mycobacterium tuberculosis Phenotypic Heterogeneity and Induce Nongrowing Metabolically Active Forms. Cell Host & Microbe. 17(1). 32–46. 209 indexed citations
12.
Chen, Jeffrey M., Ming Zhang, Jan Rybniker, et al.. (2013). M ycobacterium tuberculosis   EspB binds phospholipids and mediates EsxA ‐independent virulence. Molecular Microbiology. 89(6). 1154–1166. 56 indexed citations
13.
Wakamoto, Yuichi, Neeraj Dhar, Remy Chait, et al.. (2013). Dynamic Persistence of Antibiotic-Stressed Mycobacteria. Science. 339(6115). 91–95. 402 indexed citations breakdown →
14.
Dhar, Neeraj, Hema Setia, Anupma Thakur, & R. K. Wanchoo. (2012). Poly (vinyl alcohol) and xanthan gum composite films for sustained release. 3(4). 2 indexed citations
15.
Kumar, Rajesh, et al.. (2011). A new record of Xylotrupes gideon (Linnaeus) (Coleoptera: Scarabaeidae) on Persia bombycina, Kost. from India.. Munis entomology & zoology. 6(1). 173–175. 1 indexed citations
16.
Dhar, Neeraj & John D. McKinney. (2010). Mycobacterium tuberculosis persistence mutants identified by screening in isoniazid-treated mice. Proceedings of the National Academy of Sciences. 107(27). 12275–12280. 96 indexed citations
17.
Boldrin, Francesca, Elisa Dainese, Claudia Sala, et al.. (2010). Development of a repressible mycobacterial promoter system based on two transcriptional repressors. Nucleic Acids Research. 38(12). e134–e134. 67 indexed citations
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Dhar, Neeraj & John D. McKinney. (2007). Microbial phenotypic heterogeneity and antibiotic tolerance. Current Opinion in Microbiology. 10(1). 30–38. 253 indexed citations
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Rao, Vivek, Neeraj Dhar, & Anil K. Tyagi. (2003). Modulation of Host Immune Responses by Overexpression of Immunodominant Antigens of Mycobacterium tuberculosis in Bacille Calmette–Guérin. Scandinavian Journal of Immunology. 58(4). 449–461. 28 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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