Sushil Kumar

54 papers receiving 459 citations

Peers

Sushil Kumar
Comparison fields: 5 of 120
  • Applied Microbiology and Biotechnology 22
  • Modeling and Simulation 50
  • Gastroenterology 39
  • Molecular Medicine 27
  • Health Informatics 7
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Wan‐Ting Hsu Taiwan
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Ştefan Andrei Romania
Xun Huang China
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Citations per field
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Citations per year

Countries citing papers authored by Sushil Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sushil Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020111
2 201547
3 201536
4 201036
5 200932
6 201517
7 201314
8 200813
9 200910
10 20158
11 20218
12 20118
13 20058
14 20218
15 20118
16
Seroprevalence of IgG against SARS-CoV-2 and its determinants among healthcare workers of a COVID-19 dedicated hospital of India.
20218
17
Intrathecal fentanyl with low dose hyperbaric bupivacaine for caesarean delivery in patients with pregnancy induced Hypertension
20057
18 20176
19 20116
20 20206

About Sushil Kumar

Sushil Kumar is a scholar working on Surgery, Epidemiology, Obstetrics and Gynecology, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 65 papers that have together received 486 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (4 papers), Anesthesia and Pain Management (4 papers), Pregnancy and preeclampsia studies (4 papers), Maternal and fetal healthcare (4 papers), COVID-19 epidemiological studies (4 papers), Hernia repair and management (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (22 citations), Modeling and Simulation (50 citations), Gastroenterology (39 citations), Molecular Medicine (27 citations) and Health Informatics (7 citations). Sushil Kumar has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Sunita Tiwari, Kalpna Guleria, Anil Kumar Verma, Anil Agarwal, Ketoki Kapila, Vineet Ahuja, Eugene J Kongnyuy, Basile Njei, Tsering Stobdan and Saurabh Kedia. Their work appears in journals such as Journal of Anaesthesiology Clinical Pharmacology, Cochrane Database of Systematic Reviews, Reviews of Environmental Contamination and Toxicology, European Journal of Ophthalmology and Journal of Crohn s and Colitis.

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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