Sunil Gairola

91 total papers · 1.7k total citations
55 papers, 809 citations indexed

About

Sunil Gairola is a scholar working on Epidemiology, Microbiology and Infectious Diseases. According to data from OpenAlex, Sunil Gairola has authored 55 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Epidemiology, 21 papers in Microbiology and 18 papers in Infectious Diseases. Recurrent topics in Sunil Gairola's work include Bacterial Infections and Vaccines (19 papers), Pneumonia and Respiratory Infections (12 papers) and SARS-CoV-2 and COVID-19 Research (11 papers). Sunil Gairola is often cited by papers focused on Bacterial Infections and Vaccines (19 papers), Pneumonia and Respiratory Infections (12 papers) and SARS-CoV-2 and COVID-19 Research (11 papers). Sunil Gairola collaborates with scholars based in India, United States and United Kingdom. Sunil Gairola's co-authors include Bhushan Patwardhan, Suresh Jadhav, Manish Gautam, Manish Gautam, Dada Patil, S. S. Jadhav, Sanjay Mishra, Sham Diwanay, Varsha Pokharkar and Pralhad Sadashiv Patki and has published in prestigious journals such as Clinical Infectious Diseases, Frontiers in Immunology and The Lancet Infectious Diseases.

In The Last Decade

Sunil Gairola

48 papers receiving 748 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sunil Gairola 260 229 163 131 115 55 809
Suresh Jadhav 190 0.7× 200 0.9× 199 1.2× 121 0.9× 81 0.7× 52 1.0k
Haruyo Mori 99 0.4× 235 1.0× 178 1.1× 96 0.7× 172 1.5× 46 846
Edson Garcia Soares 80 0.3× 202 0.9× 122 0.7× 194 1.5× 128 1.1× 27 956
Mukesh Srivastava 97 0.4× 224 1.0× 94 0.6× 74 0.6× 212 1.8× 44 915
Lígia Carla Faccin‐Galhardi 87 0.3× 201 0.9× 93 0.6× 107 0.8× 248 2.2× 41 836
Rajamohamed Beema Shafreen 116 0.4× 399 1.7× 146 0.9× 44 0.3× 149 1.3× 45 1.0k
Naveed Munir 154 0.6× 248 1.1× 94 0.6× 54 0.4× 222 1.9× 42 930
Subhankari Prasad Chakraborty 56 0.2× 270 1.2× 141 0.9× 56 0.4× 81 0.7× 36 927
Aqel Albutti 67 0.3× 333 1.5× 71 0.4× 137 1.0× 78 0.7× 40 752
Arumugam Priya 85 0.3× 326 1.4× 192 1.2× 33 0.3× 119 1.0× 29 938

Countries citing papers authored by Sunil Gairola

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Gairola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunil Gairola

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Gairola. A scholar is included among the top collaborators of Sunil Gairola 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 Sunil Gairola. Sunil Gairola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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