Kuldeep Kumar
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- SARS-CoV-2 and COVID-19 Research 2
- COVID-19 Clinical Research Studies 2
-
- Biosimilars and Bioanalytical Methods 2
- Co-authors
- Sushila Kataria (3 shared papers)Pooja Sharma (2 shared papers)Arvinder S. Soin (1 shared paper)Shashikala Sangle (1 shared paper)Athimalaipet V Ramanan (1 shared paper)Narendra S. Choudhary (1 shared paper)Rahul Pandit (1 shared paper)Pawan Singh (1 shared paper)
- Journals
- Expert Opinion on Investigational Drugs (1 paper)Expert Opinion on Biological Therapy (1 paper)The Lancet Respiratory Medicine (1 paper)Journal of Ayurveda and Integrative Medicine (2 papers)Journal of the Association of Physicians of India (1 paper)
- Partner nations
- IndiaMalaysiaUnited States
In The Last Decade
Kuldeep Kumar
7 papers receiving 205 citations
Peers
Comparison fields: 5 of 60
- Infectious Diseases 150
- Neurology 104
- Complementary and alternative medicine 34
- Critical Care and Intensive Care Medicine 14
- Pharmacology 13
Countries citing papers authored by Kuldeep Kumar
This map shows the geographic impact of Kuldeep 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 Kuldeep Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuldeep Kumar more than expected).
Fields of papers citing papers by Kuldeep Kumar
This network shows the impact of papers produced by Kuldeep 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 Kuldeep Kumar. The network helps show where Kuldeep Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Kuldeep Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 148 | |
| 2 | 2020 | 36 | |
| 3 | 2021 | 18 | |
| 4 | 2023 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2025 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2025 | 0 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 0 |
About Kuldeep Kumar
Kuldeep Kumar is a scholar working on Infectious Diseases, Immunology, Neurology, Electrical and Electronic Engineering and Automotive Engineering, having authored 10 papers that have together received 209 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Biosimilars and Bioanalytical Methods (2 papers), COVID-19 Clinical Research Studies (2 papers), Phytochemicals and Medicinal Plants (1 paper), Electric Vehicles and Infrastructure (1 paper), IoT-based Smart Home Systems (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Infectious Diseases (150 citations), Neurology (104 citations), Complementary and alternative medicine (34 citations), Critical Care and Intensive Care Medicine (14 citations) and Pharmacology (13 citations). Kuldeep Kumar has collaborated with scholars based in India, Malaysia and United States. Frequent co-authors include Sushila Kataria, Pooja Sharma, Arvinder S. Soin, Shashikala Sangle, Athimalaipet V Ramanan, Narendra S. Choudhary, Rahul Pandit, Pawan Singh, Ashish Gupta and Deepak Govil. Their work appears in journals such as Expert Opinion on Investigational Drugs, Expert Opinion on Biological Therapy, The Lancet Respiratory Medicine, Journal of Ayurveda and Integrative Medicine and Journal of the Association of Physicians of India.
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.