Parjit Kaur
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
-
- Cancer therapeutics and mechanisms 4
- Advanced biosensing and bioanalysis techniques 3
- Oncology 9
- Drug Transport and Resistance Mechanisms 8
- Co-authors
- Elizabeth Peterson (1 shared paper)Barry P. Rosen (4 shared papers)John H. Russell (1 shared paper)Wen Li (2 shared papers)Wen Li (1 shared paper)Roman A. Siddiqui (1 shared paper)Hans G. Schlegel (1 shared paper)Kenneth L. Brown (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Journal of Bacteriology (2 papers)Biochemistry (2 papers)Journal of Molecular Biology (1 paper)Archives of Microbiology (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Parjit Kaur
15 papers receiving 1.1k citations
Parjit Kaur's Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Medicine 320
- Applied Microbiology and Biotechnology 69
- Pollution 222
- Microbiology 76
- Endocrinology 43
Countries citing papers authored by Parjit Kaur
This map shows the geographic impact of Parjit 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 Parjit Kaur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parjit Kaur more than expected).
Fields of papers citing papers by Parjit Kaur
This network shows the impact of papers produced by Parjit 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 Parjit Kaur. The network helps show where Parjit Kaur may publish in the future.
Co-authors
The 14 scholars most cited alongside Parjit 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
| # | Work | ||
|---|---|---|---|
| 1 | Antibiotic Resistance Mechanisms in Bacteria: Relationships Between Resistance Determinants of Antibiotic Producers, Environmental Bacteria, and Clinical Pathogens Hit paper breakdown → | 2018 | 683 |
| 2 | 1992 | 101 | |
| 3 | 1997 | 58 | |
| 4 | 2014 | 46 | |
| 5 | 1992 | 46 | |
| 6 | 1998 | 41 | |
| 7 | 2008 | 38 | |
| 8 | 1993 | 37 | |
| 9 | 2005 | 21 | |
| 10 | 1990 | 19 | |
| 11 | 2017 | 12 | |
| 12 | 1990 | 10 | |
| 13 | 2002 | 10 | |
| 14 | 2018 | 7 | |
| 15 | 2003 | 1 | |
| 16 | Curing of Multiple Plasmids by EtBr in Acinetobacter baumanii: A Clinical Isolate | 2012 | 1 |
About Parjit Kaur
Parjit Kaur is a scholar working on Molecular Biology, Oncology, Molecular Medicine, Genetics and Infectious Diseases, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (8 papers), Antibiotic Resistance in Bacteria (7 papers), Bacterial Genetics and Biotechnology (5 papers), Cancer therapeutics and mechanisms (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), HIV/AIDS drug development and treatment (3 papers), Trace Elements in Health (2 papers) and Arsenic contamination and mitigation (2 papers). The work is most often cited by research in Molecular Medicine (320 citations), Applied Microbiology and Biotechnology (69 citations), Pollution (222 citations), Microbiology (76 citations) and Endocrinology (43 citations). Parjit Kaur has collaborated with scholars based in United States and Germany. Frequent co-authors include Elizabeth Peterson, Barry P. Rosen, John H. Russell, Wen Li, Wen Li, Roman A. Siddiqui, Hans G. Schlegel, Kenneth L. Brown, Louis S. Tisa and Joshua B. Owolabi. Their work appears in journals such as Journal of Biological Chemistry, Journal of Bacteriology, Biochemistry, Journal of Molecular Biology and Archives of Microbiology.
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.