K Prashanth
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 26
- Endocrinology top 1%
- Vibrio bacteria research studies 11
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- Antibiotic Use and Resistance 5
- Clinical Biochemistry top 10%
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- Bacterial biofilms and quorum sensing 18
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- Antimicrobial Resistance in Staphylococcus 5
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- Antibiotics Pharmacokinetics and Efficacy 5
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- Pneumonia and Respiratory Infections 3
- Mycobacterium research and diagnosis 3
- Co-authors
- S BadrinathP ShashikalaS. JayachandranReba KanungoRajagopalan SaranathanSatya Prakash SinghR. Srinivasa RaoGoutam Chandra
- Partner nations
- IndiaSwitzerlandGermany
In The Last Decade
K Prashanth
38 papers receiving 802 citations
Peers
Comparison fields: 5 of 92
- Molecular Medicine 463
- Endocrinology 326
- Applied Microbiology and Biotechnology 84
- Clinical Biochemistry 54
- Critical Care and Intensive Care Medicine 36
Countries citing papers authored by K Prashanth
This map shows the geographic impact of K Prashanth'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 K Prashanth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Prashanth more than expected).
Fields of papers citing papers by K Prashanth
This network shows the impact of papers produced by K Prashanth. 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 K Prashanth. The network helps show where K Prashanth may publish in the future.
Co-authorship network
The 25 scholars most cited alongside K Prashanth, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 1 | |
| 7 | 2021 | 10 | |
| 8 | 2017 | 25 | |
| 9 | 2017 | 1 | |
| 10 | 2014 | 19 | |
| 11 | Multiple drug resistant carbapenemases producing Acinetobacter baumannii isolates harbours multiple R-plasmids. | 2014 | 10 |
| 12 | PHENOTYPIC ASSAYS FOR DETECTION OF ESBL AND MBL PRODUCERS AMONG THE CLINICAL ISOLATES OF MULTIDRUG RESISTANT PSEUDOMONAS AERUGINOSA FROM A TERTIARY CARE HOSPITAL | 2013 | 2 |
| 13 | 2013 | 19 | |
| 14 | 2012 | 4 | |
| 15 | 2011 | 21 | |
| 16 | 2010 | 11 | |
| 17 | 2010 | 2 | |
| 18 | 2008 | 130 | |
| 19 | 2006 | 54 | |
| 20 | 2000 | 22 |
About K Prashanth
K Prashanth is a scholar working on Molecular Medicine, Endocrinology and Applied Microbiology and Biotechnology, having authored 44 papers that have together received 864 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (26 papers), Bacterial biofilms and quorum sensing (18 papers), Vibrio bacteria research studies (11 papers), Antibiotic Use and Resistance (5 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Pneumonia and Respiratory Infections (3 papers) and Mycobacterium research and diagnosis (3 papers). The work is most often cited by research in Molecular Medicine (463 citations), Endocrinology (326 citations) and Applied Microbiology and Biotechnology (84 citations). K Prashanth has collaborated with scholars based in India, Switzerland and Germany. Frequent co-authors include S Badrinath, P Shashikala, S. Jayachandran, Reba Kanungo, Rajagopalan Saranathan, Satya Prakash Singh, R. Srinivasa Rao, Goutam Chandra, Siva Umapathy and Anil Kumar Pal. Their work appears in journals such as Journal of Medical Microbiology, Microbial Pathogenesis, Gene, Biofouling and Investigative Ophthalmology & Visual Science.
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.