Jagdeep Kaur
Impact in
- Biotechnology top 1%
- Enzyme Production and Characterization
- Microbiology top 2%
- Antimicrobial Peptides and Activities
Papers in
-
- Enzyme Catalysis and Immobilization 28
- Microbial Metabolic Engineering and Bioproduction 16
-
- Tuberculosis Research and Epidemiology 31
- Co-authors
- Samriti Dhawan (3 shared papers)Kashmir Singh (26 shared papers)Baljinder Singh (9 shared papers)Arbind Kumar (23 shared papers)Dilip M. Shah (8 shared papers)Ranvir Singh (12 shared papers)Rakesh Kumar (10 shared papers)Neena Capalash (6 shared papers)
- Journals
- Gene (8 papers)Molecular and Cellular Biochemistry (7 papers)International Journal of Biological Macromolecules (6 papers)Future Microbiology (6 papers)Molecular Biology Reports (6 papers)
- Partner nations
- IndiaUnited StatesPakistan
In The Last Decade
Jagdeep Kaur
181 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 148
- Biotechnology 457
- Microbiology 200
- Molecular Biology 2.2k
- Plant Science 1.0k
- Molecular Medicine 134
Countries citing papers authored by Jagdeep Kaur
This map shows the geographic impact of Jagdeep 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 Jagdeep Kaur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jagdeep Kaur more than expected).
Fields of papers citing papers by Jagdeep Kaur
This network shows the impact of papers produced by Jagdeep 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 Jagdeep Kaur. The network helps show where Jagdeep Kaur may publish in the future.
Co-authors
The 25 scholars most cited alongside Jagdeep 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 192 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 338 | |
| 2 | 2011 | 139 | |
| 3 | 2007 | 128 | |
| 4 | 2000 | 99 | |
| 5 | 2007 | 92 | |
| 6 | 2016 | 86 | |
| 7 | 2002 | 81 | |
| 8 | 2011 | 80 | |
| 9 | 1998 | 73 | |
| 10 | 2017 | 72 | |
| 11 | 2014 | 72 | |
| 12 | 2009 | 70 | |
| 13 | 2015 | 68 | |
| 14 | 2010 | 65 | |
| 15 | 2010 | 64 | |
| 16 | 2013 | 62 | |
| 17 | 1998 | 62 | |
| 18 | 2013 | 56 | |
| 19 | 2008 | 52 | |
| 20 | 2007 | 52 |
About Jagdeep Kaur
Jagdeep Kaur is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Plant Science and Surgery, having authored 192 papers that have together received 4.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (31 papers), Enzyme Catalysis and Immobilization (28 papers), Mycobacterium research and diagnosis (22 papers), Microbial Metabolic Engineering and Bioproduction (16 papers), Antibiotic Resistance in Bacteria (12 papers), Bacterial Genetics and Biotechnology (10 papers), Pancreatic function and diabetes (9 papers) and Enzyme Production and Characterization (8 papers). The work is most often cited by research in Biotechnology (457 citations), Microbiology (200 citations), Molecular Biology (2.2k citations), Plant Science (1.0k citations) and Molecular Medicine (134 citations). Jagdeep Kaur has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Samriti Dhawan, Kashmir Singh, Baljinder Singh, Arbind Kumar, Dilip M. Shah, Ranvir Singh, Rakesh Kumar, Neena Capalash, Pitchai Balakumar and Uma Shankar Sagaram. Their work appears in journals such as Gene, Molecular and Cellular Biochemistry, International Journal of Biological Macromolecules, Future Microbiology and Molecular Biology Reports.
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.