Indu Verma

2.4k total citations
119 papers, 1.8k citations indexed

About

Indu Verma is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, Indu Verma has authored 119 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Epidemiology, 53 papers in Infectious Diseases and 24 papers in Immunology. Recurrent topics in Indu Verma's work include Tuberculosis Research and Epidemiology (52 papers), Mycobacterium research and diagnosis (32 papers) and Antimicrobial Peptides and Activities (12 papers). Indu Verma is often cited by papers focused on Tuberculosis Research and Epidemiology (52 papers), Mycobacterium research and diagnosis (32 papers) and Antimicrobial Peptides and Activities (12 papers). Indu Verma collaborates with scholars based in India, United States and Denmark. Indu Verma's co-authors include G. K. Khuller, Suraj B. Sable, Sadhna Sharma, Pramod Giri, Jyotdeep Kaur, Sudhir Sharma, Yogesh Chawla, Mamta Kalra, Praveen Rishi and Anjana Kalita and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Indu Verma

107 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Indu Verma India 26 780 677 544 459 328 119 1.8k
Marı́a Teresa Rugeles Colombia 28 693 0.9× 514 0.8× 467 0.9× 1.4k 3.0× 170 0.5× 149 2.9k
Nelita du Plessis South Africa 23 960 1.2× 595 0.9× 372 0.7× 608 1.3× 77 0.2× 54 1.8k
Gabriela Godaly Sweden 29 252 0.3× 1.1k 1.7× 614 1.1× 626 1.4× 186 0.6× 51 2.5k
Maria Salomé Gomes Portugal 29 659 0.8× 708 1.0× 402 0.7× 350 0.8× 145 0.4× 61 2.0k
Shaper Mirza United States 21 377 0.5× 755 1.1× 161 0.3× 163 0.4× 272 0.8× 43 1.6k
Jung Joo Hong South Korea 23 331 0.4× 544 0.8× 218 0.4× 705 1.5× 217 0.7× 84 1.7k
Markus Hufnagel Germany 24 599 0.8× 480 0.7× 719 1.3× 417 0.9× 71 0.2× 110 2.3k
Michael K. Mansour United States 30 1.7k 2.2× 1.5k 2.2× 1.1k 2.0× 787 1.7× 133 0.4× 100 3.6k
Fabrizio Ensoli Italy 30 463 0.6× 418 0.6× 695 1.3× 614 1.3× 80 0.2× 83 2.3k
Leandro J. Carreño Chile 28 422 0.5× 587 0.9× 597 1.1× 1.0k 2.2× 70 0.2× 65 2.2k

Countries citing papers authored by Indu Verma

Since Specialization
Citations

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

Fields of papers citing papers by Indu Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Indu Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Indu Verma. A scholar is included among the top collaborators of Indu Verma 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 Indu Verma. Indu Verma 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
1.
Kaur, Bhavneet, Mandeep Singh Dhillon, Devendra Kumar Chouhan, et al.. (2025). Proteomic Insights Into Early Detection and Progression of Knee Osteoarthritis: Unveiling Molecular Signatures. Archives of Medical Research. 56(5). 103206–103206. 1 indexed citations
2.
Verma, Arpana, Maninder Kaur, Indu Verma, et al.. (2023). Immunological aspects of host–pathogen crosstalk in the co-pathogenesis of diabetes and latent tuberculosis. Frontiers in Cellular and Infection Microbiology. 12. 957512–957512. 4 indexed citations
3.
Samy, Ramar Perumal, Ikhwanuliman Putera, Benjamin Schrijver, et al.. (2023). Diagnosis and biomarkers for ocular tuberculosis: From the present into the future. Theranostics. 13(7). 2088–2113. 24 indexed citations
4.
Verma, Indu, et al.. (2022). Hemodynamic Effects of Prophylactic Administration of Vasopressin in Patients Undergoing Off Pump Coronary Artery Bypass Graft Surgery: A Randomized Control Double Blind Interventional Study. SHILAP Revista de lepidopterología. 2 indexed citations
6.
Saikia, Uma Nahar, et al.. (2021). PM2.5 mediated alterations in the in vitro human granuloma and its effect on reactivation of mycobacteria. Environmental Science and Pollution Research. 29(10). 14497–14508. 2 indexed citations
7.
Bansal, Reema, Mohd M. Khan, Surendra Dasari, et al.. (2020). Proteomic profile of vitreous in patients with tubercular uveitis. Tuberculosis. 126. 102036–102036. 11 indexed citations
9.
Verma, Indu, et al.. (2017). Aerobic bacterial pathogens causing vaginitis in third trimester of pregnancy. Indian Journal of Obstetrics and Gynecology Research. 4(4). 399–403. 1 indexed citations
10.
Verma, Indu, Anil Bhansali, K. L. Gupta, et al.. (2015). Abstracts of 42nd National Conference of Association of Clinical Biochemists of India (ACBICON 2015). Indian Journal of Clinical Biochemistry. 30(S1). 1–131.
11.
Chawla, Yogesh, et al.. (2014). Association of interleukin-10 with hepatitis B virus (HBV) mediated disease progression in Indian population. SHILAP Revista de lepidopterología. 10 indexed citations
12.
Singh, Krishna K., Ajay Wanchu, Sunil Sethi, et al.. (2014). Specific amplification of gene encoding N-terminal region of catalase–peroxidase protein (KatG-N) for diagnosis of disseminated MAC disease in HIV patients. Diagnostic Microbiology and Infectious Disease. 80(2). 122–129. 1 indexed citations
13.
Chawla, Yogesh, et al.. (2013). Effect of IL-12B , IL-2 , TGF-β1 , and IL-4 Polymorphism and Expression on Hepatitis B Progression. Journal of Interferon & Cytokine Research. 34(2). 117–128. 38 indexed citations
14.
Chawla, Yogesh, et al.. (2013). IFN-γ (+874) and not TNF-α (−308) is associated with HBV-HCC risk in India. Molecular and Cellular Biochemistry. 385(1-2). 297–307. 23 indexed citations
15.
Sharma, Rohit, et al.. (2012). Midazolam Pre-medication in Paediatrics: Comparison of the Intranasal and Sublingual Routes by Using an Atomizer Spray. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Chawla, Yogesh, et al.. (2012). Interleukin-1 Polymorphism and Expression in Hepatitis B Virus-Mediated Disease Outcome in India. Journal of Interferon & Cytokine Research. 33(2). 80–89. 22 indexed citations
17.
Verma, Indu, Nidhi Adlakha, & Pooja Vir. (2012). Effect of mycobacterial secretory proteins on the cellular integrity and cytokine profile of type II alveolar epithelial cells. Lung India. 29(4). 313–313. 8 indexed citations
18.
Sable, Suraj B., et al.. (2006). Lung and blood mononuclear cell responses of tuberculosis patients to mycobacterial proteins. European Respiratory Journal. 29(2). 337–346. 16 indexed citations
19.
Sable, Suraj B., Indu Verma, & G. K. Khuller. (2005). Multicomponent antituberculous subunit vaccine based on immunodominant antigens of Mycobacterium tuberculosis. Vaccine. 23(32). 4175–4184. 39 indexed citations
20.
Sharma, Sadhna, Indu Verma, & G. K. Khuller. (2000). Antibacterial activity of human neutrophil peptide-1 against Mycobacterium tuberculosis H37Rv: in vitro and ex vivo study. European Respiratory Journal. 16(1). 112–112. 76 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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