Bansidhar Tarai

2.9k total citations · 1 hit paper
62 papers, 1.9k citations indexed

About

Bansidhar Tarai is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Bansidhar Tarai has authored 62 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Infectious Diseases, 24 papers in Epidemiology and 16 papers in Molecular Biology. Recurrent topics in Bansidhar Tarai's work include Antifungal resistance and susceptibility (13 papers), Mosquito-borne diseases and control (11 papers) and Fungal Infections and Studies (10 papers). Bansidhar Tarai is often cited by papers focused on Antifungal resistance and susceptibility (13 papers), Mosquito-borne diseases and control (11 papers) and Fungal Infections and Studies (10 papers). Bansidhar Tarai collaborates with scholars based in India, United States and Netherlands. Bansidhar Tarai's co-authors include Anuradha Chowdhary, Ashutosh Singh, Arunaloke Chakrabarti, Shivaprakash M. Rudramurthy, Amit Sharma, Smita Sarma, Neelam Sachdeva, Anil Kumar, Pradeep Kumar Singh and Jacques F. Meis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Bansidhar Tarai

54 papers receiving 1.9k citations

Hit Papers

A multicentre study of antifungal susceptibility patterns... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bansidhar Tarai India 18 1.5k 1.1k 196 184 149 62 1.9k
João Nóbrega de Almeida Brazil 24 1.4k 0.9× 1.2k 1.1× 226 1.2× 137 0.7× 46 0.3× 77 1.9k
Axel Hamprecht Germany 29 879 0.6× 912 0.8× 318 1.6× 155 0.8× 52 0.3× 103 2.4k
Immaculata Xess India 23 1.4k 0.9× 1.2k 1.1× 241 1.2× 87 0.5× 27 0.2× 106 2.3k
Estrella Martín‐Mazuelos Spain 27 1.7k 1.1× 1.6k 1.4× 160 0.8× 85 0.5× 37 0.2× 83 2.2k
Sharon C.-A. Chen Australia 28 2.0k 1.3× 1.9k 1.7× 285 1.5× 41 0.2× 88 0.6× 75 2.7k
Ayşe Kalkancı Türkiye 22 741 0.5× 560 0.5× 255 1.3× 34 0.2× 137 0.9× 109 1.4k
S. G. Filler United States 16 1.4k 0.9× 1.1k 1.0× 159 0.8× 52 0.3× 56 0.4× 17 1.8k
Gary J. Moet United States 19 1.7k 1.1× 1.1k 1.0× 276 1.4× 268 1.5× 23 0.2× 24 2.3k
Jeffrey D. Jenks United States 24 1.8k 1.2× 1.4k 1.2× 195 1.0× 99 0.5× 20 0.1× 50 2.1k
Н Н Климко Russia 18 1.8k 1.2× 1.4k 1.3× 77 0.4× 60 0.3× 63 0.4× 94 2.0k

Countries citing papers authored by Bansidhar Tarai

Since Specialization
Citations

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

Fields of papers citing papers by Bansidhar Tarai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bansidhar Tarai

This figure shows the co-authorship network connecting the top 25 collaborators of Bansidhar Tarai. A scholar is included among the top collaborators of Bansidhar Tarai 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 Bansidhar Tarai. Bansidhar Tarai 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.
Imran, Md, Pallavi Mishra, Kanika Kanika, et al.. (2025). Clinico-genomic study reveals association of dengue virus genome high frequency mutations with dengue disease severity. Scientific Reports. 15(1). 18724–18724.
2.
Mehta, Priyanka, Priti Devi, Sandeep Budhiraja, Bansidhar Tarai, & Rajesh Pandey. (2025). Suboptimal dengue genome leverages non-canonical translation mechanisms. iScience. 28(5). 112428–112428. 1 indexed citations
3.
Kavathekar, Maithili, Bansidhar Tarai, Mandar T. Naik, et al.. (2025). PathCrisp: an innovative molecular diagnostic tool for early detection of NDM-resistant infections. Scientific Reports. 15(1). 490–490. 1 indexed citations
4.
Tarai, Bansidhar, et al.. (2024). Diagnosis of Ventilator-Associated Pneumonia – A Systematic Review and Meta-analysis of Laboratory Techniques. SHILAP Revista de lepidopterología. 18(3). 1391–1412.
5.
Tarai, Bansidhar, et al.. (2024). Pathogenesis, Diagnosis and Therapeutic Strategies for Ventilator-associated Pneumonia. SHILAP Revista de lepidopterología. 18(2). 772–796. 2 indexed citations
7.
Maurya, Ranjeet, Aparna Swaminathan, Uzma Shamim, et al.. (2023). Co-evolution of SARS-CoV-2 variants and host immune response trajectories underlie COVID-19 pandemic to epidemic transition. iScience. 26(12). 108336–108336. 7 indexed citations
8.
Islam, Asimul, Farah Deeba, Bansidhar Tarai, et al.. (2023). Global and local evolutionary dynamics of Dengue virus serotypes 1, 3, and 4. Epidemiology and Infection. 151. e127–e127. 5 indexed citations
9.
Devi, Priti, et al.. (2023). Longitudinal study across SARS-CoV-2 variants identifies transcriptionally active microbes (TAMs) associated with Delta severity. iScience. 26(10). 107779–107779. 3 indexed citations
11.
Madan, Kaushal, Bansidhar Tarai, & Deven Juneja. (2022). Shewanella algae: A Rare Cause of Sepsis and Septic Shock. 1(1). 9–10. 1 indexed citations
12.
Garg, Rahul, Reshu Agarwal, Santanu Das, et al.. (2022). SARS-CoV-2 Lineage Tracking, and Evolving Trends Seen during Three Consecutive Peaks of Infection in Delhi, India: a Clinico-Genomic Study. Microbiology Spectrum. 10(2). e0272921–e0272921. 2 indexed citations
13.
Chattopadhyay, Partha, Pallavi Mishra, Priyanka Mehta, et al.. (2022). Transcriptomic study reveals lncRNA-mediated downregulation of innate immune and inflammatory response in the SARS-CoV-2 vaccination breakthrough infections. Frontiers in Immunology. 13. 1035111–1035111. 9 indexed citations
14.
Gupta, Ekta, et al.. (2021). Circulation of DENV-3 Genotype 3 during 2017 to 2018 in Delhi: A Single-Center Hospital-Based Study. SHILAP Revista de lepidopterología. 14(1). 21–26. 3 indexed citations
15.
Gupta, Akshita, et al.. (2021). Syndromic approach to SARS-CoV-2 detection using QIAstat-Dx SARS-CoV-2 panel from clinical samples. Journal of Virological Methods. 298. 114300–114300. 3 indexed citations
16.
Singh, Ashutosh, Kelley R. Healey, Neelam Sachdeva, et al.. (2018). Absence of Azole or Echinocandin Resistance in Candida glabrata Isolates in India despite Background Prevalence of Strains with Defects in the DNA Mismatch Repair Pathway. Antimicrobial Agents and Chemotherapy. 62(6). 46 indexed citations
18.
Tarai, Bansidhar, et al.. (2015). Hemophilus influenzae meningitis and septicaemia in a 14-month-old child after primary immunisation. Indian Journal of Medical Microbiology. 33(1). 158–160.
19.
Chakrabarti, Arunaloke, Shivaprakash M. Rudramurthy, Ramandeep Singh, et al.. (2008). FUNGAL ENDOPHTHALMITIS. Retina. 28(10). 1400–1407. 125 indexed citations
20.
Chakrabarti, Arunaloke, Ashim Das, Jharna Mandal, et al.. (2006). The rising trend of invasive zygomycosis in patients with uncontrolled diabetes mellitus. Medical Mycology. 44(4). 335–342. 264 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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