Hardeep Kaur
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
-
- Computational Drug Discovery Methods
Papers in
-
- SARS-CoV-2 and COVID-19 Research 15
- COVID-19 Clinical Research Studies 10
-
- Computational Drug Discovery Methods 7
- Co-authors
- Bikash Medhi (33 shared papers)Subodh Kumar (30 shared papers)Pramod Kumar Avti (20 shared papers)Phulen Sarma (33 shared papers)Manisha Prajapat (33 shared papers)Anusuya Bhattacharyya (23 shared papers)Ajay Prakash (24 shared papers)Nandini Gautam (1 shared paper)
- Journals
- Journal of Biomolecular Structure and Dynamics (4 papers)Dermatologic Therapy (2 papers)Canadian Journal of Cardiology (2 papers)Indian Journal of Pharmacology (15 papers)British Journal of Clinical Pharmacology (1 paper)
- Partner nations
- IndiaUnited StatesPakistan
In The Last Decade
Hardeep Kaur
76 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 158
- Infectious Diseases 877
- Computational Theory and Mathematics 342
- Applied Microbiology and Biotechnology 24
- Pharmacology 100
- Neurology 164
Countries citing papers authored by Hardeep Kaur
This map shows the geographic impact of Hardeep Kaur'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 Hardeep Kaur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hardeep Kaur more than expected).
Fields of papers citing papers by Hardeep Kaur
This network shows the impact of papers produced by Hardeep Kaur. 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 Hardeep Kaur. The network helps show where Hardeep Kaur may publish in the future.
Co-authors
The 25 scholars most cited alongside Hardeep Kaur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 386 | |
| 2 | 2016 | 252 | |
| 3 | 2020 | 182 | |
| 4 | 2020 | 154 | |
| 5 | 2021 | 101 | |
| 6 | 2020 | 71 | |
| 7 | 2020 | 69 | |
| 8 | 2020 | 62 | |
| 9 | 2009 | 53 | |
| 10 | 2021 | 48 | |
| 11 | 2021 | 45 | |
| 12 | 2020 | 44 | |
| 13 | 2021 | 41 | |
| 14 | 2021 | 35 | |
| 15 | 2021 | 33 | |
| 16 | 2021 | 32 | |
| 17 | 2020 | 30 | |
| 18 | 2020 | 27 | |
| 19 | 2001 | 26 | |
| 20 | 2020 | 26 |
About Hardeep Kaur
Hardeep Kaur is a scholar working on Infectious Diseases, Computational Theory and Mathematics, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Anesthesiology and Pain Medicine, having authored 84 papers that have together received 2.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (15 papers), COVID-19 Clinical Research Studies (10 papers), Computational Drug Discovery Methods (7 papers), Tracheal and airway disorders (3 papers), Airway Management and Intubation Techniques (3 papers), Long-Term Effects of COVID-19 (3 papers), Smart Agriculture and AI (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Infectious Diseases (877 citations), Computational Theory and Mathematics (342 citations), Applied Microbiology and Biotechnology (24 citations), Pharmacology (100 citations) and Neurology (164 citations). Hardeep Kaur has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Bikash Medhi, Subodh Kumar, Pramod Kumar Avti, Phulen Sarma, Manisha Prajapat, Anusuya Bhattacharyya, Ajay Prakash, Nandini Gautam, Anil Kumar Mantha and Sunil Mittal. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Dermatologic Therapy, Canadian Journal of Cardiology, Indian Journal of Pharmacology and British Journal of Clinical Pharmacology.
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.