Beenu Joshi

1.6k total citations
51 papers, 1.2k citations indexed

About

Beenu Joshi is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Beenu Joshi has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Infectious Diseases, 22 papers in Epidemiology and 13 papers in Molecular Biology. Recurrent topics in Beenu Joshi's work include Tuberculosis Research and Epidemiology (26 papers), Mycobacterium research and diagnosis (20 papers) and Leprosy Research and Treatment (10 papers). Beenu Joshi is often cited by papers focused on Tuberculosis Research and Epidemiology (26 papers), Mycobacterium research and diagnosis (20 papers) and Leprosy Research and Treatment (10 papers). Beenu Joshi collaborates with scholars based in India, France and United States. Beenu Joshi's co-authors include Vishwa Mohan Katoch, Deepa Bisht, Kithiganahalli Narayanaswamy Balaji, Narayana Yeddula, Sangeeta Shukla, Utpal Sengupta, Divakar Sharma, Krishnamurthy Venkatesan, Manju Lata and Sarala K. Subbarao and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Hepatology.

In The Last Decade

Beenu Joshi

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beenu Joshi India 19 591 464 421 216 153 51 1.2k
Christiane Pienna Soares Brazil 24 286 0.5× 512 1.1× 385 0.9× 442 2.0× 94 0.6× 83 1.7k
Shantanu Ganguly India 16 306 0.5× 229 0.5× 336 0.8× 33 0.2× 84 0.5× 33 994
Syed Aun Muhammad Pakistan 17 119 0.2× 150 0.3× 547 1.3× 168 0.8× 80 0.5× 98 1.2k
Ved Prakash Dwivedi India 21 577 1.0× 347 0.7× 461 1.1× 399 1.8× 104 0.7× 53 1.4k
Yue Fu China 23 917 1.6× 716 1.5× 853 2.0× 191 0.9× 113 0.7× 85 2.2k
Shogo Misumi Japan 22 313 0.5× 171 0.4× 650 1.5× 172 0.8× 44 0.3× 84 1.4k
Margaret Olsen United States 17 410 0.7× 368 0.8× 256 0.6× 328 1.5× 130 0.8× 28 1000
Hongbo Shen China 19 462 0.8× 312 0.7× 431 1.0× 473 2.2× 94 0.6× 74 1.2k
Haruaki Tomioka Japan 22 585 1.0× 594 1.3× 359 0.9× 260 1.2× 127 0.8× 90 1.3k
Jinling Chen China 18 191 0.3× 220 0.5× 260 0.6× 182 0.8× 128 0.8× 99 1.2k

Countries citing papers authored by Beenu Joshi

Since Specialization
Citations

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

Fields of papers citing papers by Beenu Joshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beenu Joshi

This figure shows the co-authorship network connecting the top 25 collaborators of Beenu Joshi. A scholar is included among the top collaborators of Beenu Joshi 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 Beenu Joshi. Beenu Joshi 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
2.
Khandelwal, Vishal, et al.. (2023). Immunological Depiction of Synthetic B-cell Epitopes of Mycobacterium tuberculosis. International Journal of Mycobacteriology. 12(4). 380–387. 5 indexed citations
3.
Sadhu, Soumi, Sanjay Kumar, Dipendra Kumar Mitra, & Beenu Joshi. (2022). Activated TLR2/4-positive T cells boost cell exhaustion during lepromatous leprosy infection via PD-1 upregulation. Heliyon. 8(11). e11633–e11633. 2 indexed citations
4.
Joshi, Beenu, et al.. (2020). Investigating role of Mycobacterium tuberculosis secretory antigens in altering activation of T cell signaling events in Jurkat T cells. International Journal of Mycobacteriology. 9(4). 405–405. 3 indexed citations
5.
Sharma, Bhawna, et al.. (2019). Transcription factors STAT-4, STAT-6 and CREB regulate Th1/Th2 response in leprosy patients: effect of M. leprae antigens. BMC Infectious Diseases. 19(1). 52–52. 12 indexed citations
6.
Patil, Shripad A., et al.. (2019). TOWARDS ELIMINATION OF STIGMA & UNTOUCHABILITY. The Indian Journal of Medical Research. 149(Suppl 1). S81–S87. 4 indexed citations
7.
Jee, Babban, et al.. (2017). IL-10 down-regulates the expression of survival associated gene hspX of Mycobacterium tuberculosis in murine macrophage. The Brazilian Journal of Infectious Diseases. 21(4). 386–390. 5 indexed citations
8.
Shankar, Hari, Divakar Sharma, Prashant Sharma, et al.. (2017). Proteomics of Culture Filtrate of Prevalent Mycobacterium tuberculosis Strains: 2D-PAGE Map and MALDI-TOF/MS Analysis. SLAS DISCOVERY. 22(9). 1142–1149. 11 indexed citations
9.
Sadhu, Soumi, et al.. (2016). Reciprocity between Regulatory T Cells and Th17 Cells: Relevance to Polarized Immunity in Leprosy. PLoS neglected tropical diseases. 10(1). e0004338–e0004338. 56 indexed citations
10.
Dagur, Pradeep K., Bhawna Sharma, Naim Akhtar Khan, et al.. (2012). Phenolic-glycolipid-1 and lipoarabinomannan preferentially modulate TCR- and CD28-triggered proximal biochemical events, leading to T-cell unresponsiveness in mycobacterial diseases. Lipids in Health and Disease. 11(1). 119–119. 13 indexed citations
11.
Dayal, Rajeshwar, Vikas Verma, Bhawana Sharma, et al.. (2011). Diagnostic Value of Interferon- gamma Release Assays (QuantiFERON-TB Gold® In Tube) in Childhood Tuberculosis. The Indian Journal of Pediatrics. 79(2). 183–187. 9 indexed citations
12.
Shankar, Hari, Deepa Bisht, Prashant Sharma, et al.. (2010). A simple and rapid method of sample preparation from culture filtrate of M. tuberculosis for two-dimensional gel electrophoresis. Brazilian Journal of Microbiology. 41(2). 295–299. 2 indexed citations
13.
Dagur, Pradeep K., Bhawna Sharma, Naim Akhtar Khan, et al.. (2009). Mycobacterial antigen(s) induce anergy by altering TCR- and TCR/CD28-induced signalling events: Insights into T-cell unresponsiveness in leprosy. Molecular Immunology. 47(5). 943–952. 19 indexed citations
14.
Dayal, Rajeshwar, Amit Singh, Vishwa Mohan Katoch, et al.. (2008). Serological diagnosis of tuberculosis. The Indian Journal of Pediatrics. 75(12). 1219–1221. 27 indexed citations
15.
Jain, Sanjay, et al.. (2008). Development and characterization of 5-FU bearing ferritin appended solid lipid nanoparticles for tumour targeting. Journal of Microencapsulation. 25(5). 289–297. 60 indexed citations
16.
Kumar, Gyanendra, Pradeep K. Dagur, V S Yadav, et al.. (2008). Diagnostic Potential of Ag85C in Comparison to Various Secretory Antigens for Childhood Tuberculosis. Scandinavian Journal of Immunology. 68(2). 177–183. 22 indexed citations
17.
Joshi, Beenu, et al.. (2006). On Cell Signalling Mechanism of Mycobaterium Leprae Soluble Antigen (MLSA) in Jurkat T Cells. Molecular and Cellular Biochemistry. 287(1-2). 157–164. 7 indexed citations
18.
Joshi, Beenu, et al.. (2004). Leprosy Reactions: Humoral and Cellular Immune Responses to M. leprae, 65kDa, 28kDa, and 18 kDa Antigens. PubMed. 72(2). 149–149. 6 indexed citations
19.
Dua, V. K., et al.. (2004). Anti-malarial activity of some xanthones isolated from the roots of Andrographis paniculata. Journal of Ethnopharmacology. 95(2-3). 247–251. 127 indexed citations
20.
Hichami, Aziz, et al.. (2002). Role of three isoforms of phospholipase A2 in capacitative calcium influx in human T‐cells. European Journal of Biochemistry. 269(22). 5557–5563. 12 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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