Bindu Singh

1.2k total citations
21 papers, 431 citations indexed

About

Bindu Singh is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Bindu Singh has authored 21 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 9 papers in Epidemiology and 8 papers in Immunology. Recurrent topics in Bindu Singh's work include Tuberculosis Research and Epidemiology (8 papers), Mycobacterium research and diagnosis (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Bindu Singh is often cited by papers focused on Tuberculosis Research and Epidemiology (8 papers), Mycobacterium research and diagnosis (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Bindu Singh collaborates with scholars based in United States, India and Australia. Bindu Singh's co-authors include Sangeeta Bhaskar, Deepak Kaushal, P.C. Abhilash, Pankaj Srivastava, Nandita Singh, Smriti Mehra, Dhiraj Kumar Singh, Shabaana A. Khader, Ananya Gupta and Andreas Schaeffer and has published in prestigious journals such as Cell, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Bindu Singh

21 papers receiving 420 citations

Peers

Bindu Singh

EPIDE

IMMUN

POLLU

Raif Yuecel United Kingdom

Mohamed Maarouf China

Yuhong Pan China

Katsuya ISHIHARA Japan

Tie Liu China

Qingmeng Zhang China

Donald M. Sells United States

Shikha Arora India

Martin May Germany

Gayathriy Balamayooran United States

Raif Yuecel United Kingdom

Bindu Singh

166 ×0.9

139 ×1.0

EPIDE

56 ×0.4

IMMUN

89 ×1.1

9 ×0.2

POLLU

Citations per year, relative to Bindu Singh Bindu Singh (= 1×) peers Raif Yuecel

Countries citing papers authored by Bindu Singh

Since Specialization

Citations

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

Fields of papers citing papers by Bindu Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bindu Singh

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

All Works

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20 of 20 papers shown

Singh, Bindu, Riti Sharan, Gayathri Ravichandran, et al.. (2024). Indoleamine-2,3-dioxygenase inhibition improves immunity and is safe for concurrent use with cART during Mtb/SIV coinfection. JCI Insight. 9(15). 2 indexed citations

Singh, Bindu, Chivonne Moodley, Dhiraj Kumar Singh, et al.. (2023). Inhibition of indoleamine dioxygenase leads to better control of tuberculosis adjunctive to chemotherapy. JCI Insight. 8(2). 16 indexed citations

Singh, Dhiraj Kumar, Ekaterina Aladyeva, Shibali Das, et al.. (2022). Myeloid cell interferon responses correlate with clearance of SARS-CoV-2. Nature Communications. 13(1). 679–679. 27 indexed citations

Singh, Dhiraj Kumar, Journey Cole, Ruby A. Escobedo, et al.. (2022). Animal Models of COVID-19: Nonhuman Primates. Methods in molecular biology. 2452. 227–258. 4 indexed citations

Singh, Dhiraj Kumar, et al.. (2022). System-wide identification of myeloid markers of TB disease and HIV-induced reactivation in the macaque model of Mtb infection and Mtb/SIV co-infection. Frontiers in Immunology. 13. 777733–777733. 5 indexed citations

Rosa, Bruce A., Mushtaq Ahmed, Dhiraj Kumar Singh, et al.. (2021). IFN signaling and neutrophil degranulation transcriptional signatures are induced during SARS-CoV-2 infection. Communications Biology. 4(1). 290–290. 63 indexed citations

Sharan, Riti, Shashank Ganatra, Allison N. Bucşan, et al.. (2021). Antiretroviral therapy timing impacts latent tuberculosis infection reactivation in a Mycobacterium tuberculosis/SIV coinfection model. Journal of Clinical Investigation. 132(3). 12 indexed citations

Cronan, Mark R., Bindu Singh, Smriti Mehra, et al.. (2021). A non-canonical type 2 immune response coordinates tuberculous granuloma formation and epithelialization. Cell. 184(7). 1757–1774.e14. 68 indexed citations

Singh, Bindu, Dhiraj Kumar Singh, Shashank Ganatra, et al.. (2021). Myeloid-Derived Suppressor Cells Mediate T Cell Dysfunction in Nonhuman Primate TB Granulomas. mBio. 12(6). e0318921–e0318921. 16 indexed citations

10.

Ganatra, Shashank, Allison N. Bucşan, Xavier Álvarez, et al.. (2020). Antiretroviral therapy does not reduce tuberculosis reactivation in a tuberculosis-HIV coinfection model. Journal of Clinical Investigation. 130(10). 5171–5179. 28 indexed citations

11.

Singh, Bindu, et al.. (2019). Cell wall fraction of Mycobacterium indicus pranii shows potential Th1 adjuvant activity. International Immunopharmacology. 70. 408–416. 6 indexed citations

12.

Gupta, Ananya, et al.. (2019). Mycobacterium indicus pranii Induced Memory T-Cells in Lung Airways Are Sentinels for Improved Protection Against M.tb Infection. Frontiers in Immunology. 10. 2359–2359. 14 indexed citations

13.

Singh, Bindu, et al.. (2019). Lipoarabinomannan from Mycobacterium indicus pranii shows immunostimulatory activity and induces autophagy in macrophages. PLoS ONE. 14(10). e0224239–e0224239. 6 indexed citations

14.

Singh, Bindu & Sangeeta Bhaskar. (2018). Methods for Detection of Autophagy in Mammalian Cells. Methods in molecular biology. 2045. 245–258. 42 indexed citations

15.

Singh, Surendra & Bindu Singh. (2017). Survey and fortnightly observation to find out major insect pests of rice crop (Oryza sativa) in Patna district of Bihar. Journal of Entomology and Zoology Studies. 5(1). 766–769. 8 indexed citations

16.

Singh, Bindu, et al.. (2017). Autophagy induction by Mycobacterium indicus pranii promotes Mycobacterium tuberculosis clearance from RAW 264.7 macrophages. PLoS ONE. 12(12). e0189606–e0189606. 16 indexed citations

17.

Singh, Bindu, et al.. (2016). Mycobacterium indicus pranii as a booster vaccine enhances BCG induced immunity and confers higher protection in animal models of tuberculosis. Tuberculosis. 101. 164–173. 21 indexed citations

18.

Deshpande, A. A., et al.. (2015). Genetic combining ability for yield and other economic traits in brinjal (Solanum melongena L.). Vegetable Science. 42(2). 25–29. 3 indexed citations

19.

Abhilash, P.C., Bindu Singh, Pankaj Srivastava, Andreas Schaeffer, & Nandita Singh. (2013). Remediation of lindane by Jatropha curcas L: Utilization of multipurpose species for rhizoremediation. Biomass and Bioenergy. 51. 189–193. 42 indexed citations

20.

Abhilash, P.C., et al.. (2011). Influence of rhizospheric microbial inoculation and tolerant plant species on the rhizoremediation of lindane. Environmental and Experimental Botany. 74. 127–130. 31 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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