Ankit Gupta

719 total citations
31 papers, 471 citations indexed

About

Ankit Gupta is a scholar working on Infectious Diseases, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ankit Gupta has authored 31 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 9 papers in Epidemiology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ankit Gupta's work include Influenza Virus Research Studies (6 papers), COVID-19 impact on air quality (5 papers) and COVID-19 epidemiological studies (5 papers). Ankit Gupta is often cited by papers focused on Influenza Virus Research Studies (6 papers), COVID-19 impact on air quality (5 papers) and COVID-19 epidemiological studies (5 papers). Ankit Gupta collaborates with scholars based in India, South Korea and Kenya. Ankit Gupta's co-authors include Hemant Bherwani, Nitin Labhsetwar, Madhu Khanna, Sneha Gautam, Avneesh Anshul, Rakesh Kumar, Rakesh Kumar, Saima Anjum, Binod Kumar and Neha Gupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Bioresource Technology.

In The Last Decade

Ankit Gupta

28 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ankit Gupta India 13 119 106 80 75 72 31 471
Chiman Karami Iran 10 40 0.3× 42 0.4× 67 0.8× 140 1.9× 38 0.5× 20 403
Chenkai Zhao China 8 35 0.3× 148 1.4× 225 2.8× 62 0.8× 111 1.5× 20 478
Sarawut Sangkham Thailand 11 21 0.2× 124 1.2× 68 0.8× 107 1.4× 168 2.3× 21 1.0k
Ti Liu China 9 173 1.5× 42 0.4× 51 0.6× 97 1.3× 85 1.2× 45 421
Michael Goldblatt United States 10 124 1.0× 17 0.2× 45 0.6× 192 2.6× 73 1.0× 18 533
Zi Chen China 11 71 0.6× 45 0.4× 20 0.3× 94 1.3× 249 3.5× 36 654
Shuang Xiao China 12 53 0.4× 217 2.0× 379 4.7× 139 1.9× 91 1.3× 34 804
Ileana Federigi Italy 13 48 0.4× 34 0.3× 30 0.4× 275 3.7× 100 1.4× 36 713
Mohammad Javanbakht Iran 11 68 0.6× 60 0.6× 67 0.8× 135 1.8× 28 0.4× 54 423
Katie Beck United States 4 47 0.4× 72 0.7× 161 2.0× 88 1.2× 69 1.0× 6 381

Countries citing papers authored by Ankit Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankit Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Ankit Gupta. A scholar is included among the top collaborators of Ankit Gupta 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 Ankit Gupta. Ankit Gupta 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.
Li, You, Ankit Gupta, Brian N. Papas, et al.. (2025). Noncanonical Poly(A) Polymerase TENT4 Drives Expression of Subgenomic Hepatitis A Virus RNAs in Infected Cells. Viruses. 17(5). 665–665.
3.
Anjum, Saima, et al.. (2022). Improving performance of deep learning predictive models for COVID-19 by incorporating environmental parameters. Gondwana Research. 114. 69–77. 12 indexed citations
4.
Kumar, Ashutosh, Abhishek Raj, Ankit Gupta, et al.. (2022). Pollution free UV-C radiation to mitigate COVID-19 transmission. Gondwana Research. 114. 78–86. 13 indexed citations
5.
Bherwani, Hemant, Sneha Gautam, & Ankit Gupta. (2021). Qualitative and quantitative analyses of impact of COVID-19 on sustainable development goals (SDGs) in Indian subcontinent with a focus on air quality. International Journal of Environmental Science and Technology. 18(4). 1019–1028. 33 indexed citations
6.
Bherwani, Hemant, Suman Kumar, Moorthy Nair, et al.. (2021). Assessment and valuation of health impacts of fine particulate matter during COVID-19 lockdown: a comprehensive study of tropical and sub tropical countries. Environmental Science and Pollution Research. 28(32). 44522–44537. 26 indexed citations
7.
Bherwani, Hemant, Ankit Gupta, Saima Anjum, Avneesh Anshul, & Rakesh Kumar. (2020). Exploring dependence of COVID-19 on environmental factors and spread prediction in India. npj Climate and Atmospheric Science. 3(1). 45 indexed citations
8.
Gupta, Ankit, et al.. (2020). Understanding air and water borne transmission and survival of coronavirus: Insights and way forward for SARS-CoV-2. The Science of The Total Environment. 749. 141486–141486. 45 indexed citations
9.
Gupta, Ankit, et al.. (2020). COVID-19 Creating another problem? Sustainable solution for PPE disposal through LCA approach. Environment Development and Sustainability. 23(6). 9418–9432. 93 indexed citations
10.
Gupta, Ankit, et al.. (2020). Guidance for Treating Patients with Opioid Use Disorder (OUD) with Buprenorphine- Naloxone (B/N) in the COVID-19 Era via Telehealth: A Review of Previous Evidence, New COVID-19 OUD Treatment Guidelines, and a Case Report of their Application. Deep Blue (University of Michigan). 2 indexed citations
11.
Gawande, Atul A., Gaurav Gupta, Ankit Gupta, et al.. (2019). Acute-on-Chronic Liver Failure: Etiology of Chronic and Acute Precipitating Factors and Their Effect on Mortality. Journal of Clinical and Experimental Hepatology. 9(6). 699–703. 22 indexed citations
12.
Bansal, Priya, et al.. (2019). Complicated Plasmodium vivax infection with malarial hepatopathy and splenic abscess. SHILAP Revista de lepidopterología. 4(1). 39–39.
13.
Gupta, Ankit, et al.. (2018). Predicting the outcome of perforation peritonitis by using apache II scoring system. International Surgery Journal. 5(2). 402–402. 3 indexed citations
14.
Bhasin, Sanjay Kumar, et al.. (2016). Evaluation and management of cholelithiasis in children: a hospital based study. International Surgery Journal. 4(1). 246–246.
15.
Shekh, Ajam, et al.. (2015). Biomass and lipid enhancement in Chlorella sp. with emphasis on biodiesel quality assessment through detailed FAME signature. Bioresource Technology. 201. 276–286. 24 indexed citations
16.
Khanna, Madhu, Binod Kumar, Ankit Gupta, & Prashant Kumar. (2012). Pandemic Influenza A H1N1 (2009) Virus: Lessons from the Past and Implications for the Future. Indian Journal of Virology. 23(1). 12–17. 21 indexed citations
17.
Kumar, Binod, Madhu Khanna, Prashant Kumar, et al.. (2011). Quantification of viral load in clinical specimens collected from different body sites of patients infected with influenza viruses. International Journal of Medicine and Medical Sciences. 3(5). 144–148. 4 indexed citations
18.
Gupta, Ankit, et al.. (2010). Vaccines for Pandemic Influenza A H1N1 (2009): Where Do We Stand?. Indian Journal of Virology. 21(1). 90–91. 3 indexed citations
19.
Khanna, Madhu, Neha Gupta, Ankit Gupta, & V K Vijayan. (2009). Influenza A (H1N1) 2009: a pandemic alarm. Journal of Biosciences. 34(3). 481–489. 31 indexed citations
20.
Khanna, Madhu, Binod Kumar, Neha Gupta, et al.. (2009). Pandemic swine influenza virus (H1N1): A threatening evolution. Indian Journal of Microbiology. 49(4). 365–369. 16 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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