Paranjeet Kaur
- Organic Chemistry top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism
- Computational Theory and Mathematics top 10%
- Pharmacology
- Co-authors
- Gopal L. KhatikAmit MittalSurendra Kumar NayakSanjeev Kumar SahuManish VyasAshok Kumar DatusaliaWaquar AhsanA Anuradha
- Topics
- Computational Drug Discovery Methods (11 papers)Synthesis and biological activity (6 papers)Natural Antidiabetic Agents Studies (5 papers)
- Cited by
- Organic ChemistryComputational Theory and MathematicsEndocrinology, Diabetes and Metabolism
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of UrologyEuropean Journal of Pharmacology
- Partner nations
- IndiaPakistanSaudi Arabia
In The Last Decade
Paranjeet Kaur
30 papers receiving 360 citations
Peers
Comparison fields: 5 of 77
- Organic Chemistry 164
- Molecular Biology 152
- Endocrinology, Diabetes and Metabolism 60
- Computational Theory and Mathematics 58
- Pharmacology 34
Countries citing papers authored by Paranjeet Kaur
This map shows the geographic impact of Paranjeet 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 Paranjeet Kaur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paranjeet Kaur more than expected).
Fields of papers citing papers by Paranjeet Kaur
This network shows the impact of papers produced by Paranjeet 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 Paranjeet Kaur. The network helps show where Paranjeet Kaur may publish in the future.
Co-authorship network of co-authors of Paranjeet Kaur
This figure shows the co-authorship network connecting the top 25 collaborators of Paranjeet Kaur. A scholar is included among the top collaborators of Paranjeet Kaur 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 Paranjeet Kaur. Paranjeet Kaur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 31 | |
| 13 | 8 | |
| 14 | 25 | |
| 15 | 16 | |
| 16 | 29 | |
| 17 | 28 | |
| 18 | 10 | |
| 19 | 24 | |
| 20 | 10 |
About Paranjeet Kaur
Paranjeet Kaur is a scholar working on Computational Theory and Mathematics, Toxicology and Applied Microbiology and Biotechnology, having authored 32 papers that have together received 363 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Synthesis and biological activity (6 papers) and Natural Antidiabetic Agents Studies (5 papers). The work is most often cited by research in Organic Chemistry (164 citations), Computational Theory and Mathematics (58 citations) and Endocrinology, Diabetes and Metabolism (60 citations). Paranjeet Kaur has collaborated with scholars based in India, Pakistan and Saudi Arabia. Frequent co-authors include Gopal L. Khatik, Amit Mittal, Surendra Kumar Nayak, Sanjeev Kumar Sahu, Manish Vyas, Ashok Kumar Datusalia, Waquar Ahsan, A Anuradha, Kiranpreet Kaur and Pankaj Wadhwa. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Urology and European Journal of 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.