Awnish Kumar Singh

25 papers receiving 278 citations

Peers

Awnish Kumar Singh
Comparison fields: 5 of 79
  • Health 95
  • Microbiology 50
  • Reproductive Medicine 36
  • Modeling and Simulation 17
  • Infectious Diseases 61
Replace Ilaria Campagna with:
Ilaria Campagna Italy
Karla Gonçalves Camacho Brazil
Mandisa Singata‐Madliki South Africa
Danielle Iuliano United States
Jennifer Kidwell Drake United States
Chloe Mirzayi United States
Christina Suh United States
Richard Migisha Uganda
Tandin Dorji Bhutan
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Citations per year

Countries citing papers authored by Awnish Kumar Singh

Since Specialization
Citations

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

Fields of papers citing papers by Awnish Kumar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Awnish Kumar Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Awnish Kumar Singh Line = papers co-authored together Awnish Kumar Singh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201868
2 201339
3 201539
4 202221
5 202120
6 201813
7 201411
8 201510
9 20179
10 20217
11 20167
12
STATUS OF ROUTINE IMMUNIZATION IN AN URBAN AREA OF MEERUT
20076
13 20196
14 20225
15 20155
16 20165
17 20154
18 20133
19 20163
20 20152

About Awnish Kumar Singh

Awnish Kumar Singh is a scholar working on Health, Epidemiology, Infectious Diseases, Pathology and Forensic Medicine and General Health Professions, having authored 26 papers that have together received 291 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (9 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Virology and Viral Diseases (4 papers), Misinformation and Its Impacts (3 papers), COVID-19 epidemiological studies (3 papers), Child Nutrition and Water Access (3 papers), Alcohol Consumption and Health Effects (2 papers) and Psychology of Moral and Emotional Judgment (2 papers). The work is most often cited by research in Health (95 citations), Microbiology (50 citations), Reproductive Medicine (36 citations), Modeling and Simulation (17 citations) and Infectious Diseases (61 citations). Awnish Kumar Singh has collaborated with scholars based in India, United States and Taiwan. Frequent co-authors include Ashish Joshi, Krishna Mohan Surapaneni, Abram L. Wagner, Gayatri Amirthalingam, Saurabh Gupta, Nick Andrews, Helen Campbell, Gayle P. Dolan, Jyoti Joshi and Hao‐Yuan Chang. Their work appears in journals such as Vaccine, Vaccines, International Journal of Infectious Diseases, Journal of Medical Microbiology and BJOG An International Journal of Obstetrics & Gynaecology.

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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