Swapnil Mishra

17.5k citations
46 papers · 844 indexed · 1 hit paper · h-index 14
Topics
COVID-19 epidemiological studies (17 papers)SARS-CoV-2 and COVID-19 Research (4 papers)COVID-19 Pandemic Impacts (4 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Swapnil Mishra

41 papers receiving 821 citations

Hit Papers

Estimating the effects of non-pharmaceutical intervention...20202026202220242020100200300

Peers

Swapnil Mishra
Comparison fields: 5 of 133
  • Modeling and Simulation 384
  • Infectious Diseases 239
  • Economics and Econometrics 179
  • Epidemiology 112
  • Clinical Psychology 105
Replace Yinxiaohe Sun with:
Yinxiaohe Sun Singapore
Joel Ruihan Koo Singapore
Minah Park Singapore
Nils Haug Austria
Elma Dervić Austria
Hannah Druckenmiller United States
Luna Yue Huang United States
Jeanette Tseng United Kingdom
Trinetta Chong United Kingdom
Peiley Lau United Kingdom
Swapnil Mishra relative to Yinxiaohe Sun Singapore Yinxiaohe Sun's profile →
Citations per field
00.5×5.1×
Yinxiaohe Sun · 1×
Citations per year

Countries citing papers authored by Swapnil Mishra

Since Specialization
Citations

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

Fields of papers citing papers by Swapnil Mishra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swapnil Mishra

This figure shows the co-authorship network connecting the top 25 collaborators of Swapnil Mishra. A scholar is included among the top collaborators of Swapnil Mishra 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 Swapnil Mishra. Swapnil Mishra 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
#WorkIndexed citations
1 1
2 0
3 8
4 1
5 1
6 0
7 34
8 60
9 5
10 4
11 8
12 6
13 1
14 12
15 15
16 36
17 11
18 4
19
N-acetyltransferase and cytochrome P450 2E1 gene polymorphisms and susceptibility to antituberculosis drug hepatotoxicity in an Indian population.
17
20 6

About Swapnil Mishra

Swapnil Mishra is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 46 papers that have together received 844 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (17 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and COVID-19 Pandemic Impacts (4 papers). The work is most often cited by research in Modeling and Simulation (384 citations), Infectious Diseases (239 citations) and Health (91 citations). Swapnil Mishra has collaborated with scholars based in United Kingdom, Denmark and Singapore. Frequent co-authors include Seth Flaxman, Samir Bhatt, H. Juliette T. Unwin, Thomas A. Mellan, Wray Buntine, Daniel J. Laydon, Axel Gandy, Oliver Ratmann, Neil M. Ferguson and Michaela Vollmer. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

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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