Ashutosh Kumar

1.6k citations
77 papers · 941 · h-index 15

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 5%
    • Long-Term Effects of COVID-19

Papers in

    • COVID-19 Clinical Research Studies 19
    • SARS-CoV-2 and COVID-19 Research 14
    • Long-Term Effects of COVID-19 10
    • Traumatic Brain Injury and Neurovascular Disturbances 3

Ashutosh Kumar

69 papers receiving 909 citations

Peers

Ashutosh Kumar
Comparison fields: 5 of 141
  • Infectious Diseases 366
  • Neurology 195
  • General Dentistry 11
  • Biological Psychiatry 15
  • Critical Care and Intensive Care Medicine 28
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Citations per field
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Citations per year

Countries citing papers authored by Ashutosh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ashutosh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ashutosh Kumar, 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 Ashutosh Kumar Line = papers co-authored together Ashutosh Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020129
2 201890
3 202062
4 202056
5 202051
6 202148
7 202147
8 202047
9 201733
10 202132
11
Performance evaluation of CALPUFF and AERMOD dispersion models for air quality assessment of an industrial complex
201528
12 202020
13 202017
14 201617
15
Guidelines for Operational Evaluation of Air Quality Models
201215
16 201813
17 202013
18 202012
19 202112
20 201911

About Ashutosh Kumar

Ashutosh Kumar is a scholar working on Infectious Diseases, Neurology, Surgery, Clinical Psychology and Public Health, Environmental and Occupational Health, having authored 77 papers that have together received 941 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (19 papers), SARS-CoV-2 and COVID-19 Research (14 papers), Long-Term Effects of COVID-19 (10 papers), COVID-19 and Mental Health (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Anatomy and Medical Technology (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers) and Thermal Regulation in Medicine (3 papers). The work is most often cited by research in Infectious Diseases (366 citations), Neurology (195 citations), General Dentistry (11 citations), Biological Psychiatry (15 citations) and Critical Care and Intensive Care Medicine (28 citations). Ashutosh Kumar has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Chiman Kumari, Muneeb A. Faiq, Ravi Kant Narayan, Sanjib Kumar Ghosh, Vikas Pareek, Khursheed Raza, Pranav Prasoon, Maheswari Kulandhasamy, Kamla Kant and Pavan Kumar. Their work appears in journals such as The Anatomical Record, Journal of Medical Virology, Journal of Clinical Pathology, Frontiers in Psychiatry and Anatomical Sciences Education.

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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