Swati Joshi
Impact in
- Biotechnology top 1%
- Enzyme Production and Characterization
- Microbial Metabolism and Applications
- Virology top 5%
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 5
-
- Enzyme Production and Characterization 7
- Co-authors
- T. Satyanarayana (12 shared papers)Sanjay P. Govindwar (4 shared papers)Dhawal P. Tamboli (3 shared papers)Amar A. Telke (2 shared papers)S. U. Jadhav (1 shared paper)Volker M. Vogt (2 shared papers)Herbert P. Schweizer (2 shared papers)Eric J. Rubin (2 shared papers)
- Journals
- Bioresource Technology (3 papers)International Journal of Biological Macromolecules (2 papers)Tuberculosis (2 papers)Vaccine (2 papers)Applied Biochemistry and Biotechnology (2 papers)
- Partner nations
- IndiaUnited StatesSouth Korea
In The Last Decade
Swati Joshi
45 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 125
- Biotechnology 356
- Virology 99
- Molecular Medicine 99
- Infectious Diseases 302
- Plant Science 402
Countries citing papers authored by Swati Joshi
This map shows the geographic impact of Swati Joshi'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 Swati Joshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swati Joshi more than expected).
Fields of papers citing papers by Swati Joshi
This network shows the impact of papers produced by Swati Joshi. 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 Swati Joshi. The network helps show where Swati Joshi may publish in the future.
Co-authors
The 25 scholars most cited alongside Swati Joshi, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 195 | |
| 2 | 2006 | 140 | |
| 3 | 2007 | 120 | |
| 4 | 2012 | 84 | |
| 5 | 2001 | 84 | |
| 6 | 2004 | 79 | |
| 7 | 2013 | 68 | |
| 8 | 2008 | 65 | |
| 9 | 2008 | 62 | |
| 10 | 2010 | 56 | |
| 11 | 2006 | 55 | |
| 12 | 2022 | 52 | |
| 13 | 2008 | 46 | |
| 14 | 2000 | 46 | |
| 15 | 2010 | 39 | |
| 16 | 2005 | 38 | |
| 17 | 1987 | 36 | |
| 18 | 2014 | 34 | |
| 19 | 2007 | 33 | |
| 20 | 2004 | 32 |
About Swati Joshi
Swati Joshi is a scholar working on Molecular Biology, Biotechnology, Plant Science, Epidemiology and Genetics, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (7 papers), Biofuel production and bioconversion (6 papers), Protein Hydrolysis and Bioactive Peptides (5 papers), Tuberculosis Research and Epidemiology (5 papers), Mycobacterium research and diagnosis (5 papers), Chromium effects and bioremediation (4 papers), Enzyme-mediated dye degradation (4 papers) and Phytase and its Applications (4 papers). The work is most often cited by research in Biotechnology (356 citations), Virology (99 citations), Molecular Medicine (99 citations), Infectious Diseases (302 citations) and Plant Science (402 citations). Swati Joshi has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include T. Satyanarayana, Sanjay P. Govindwar, Dhawal P. Tamboli, Amar A. Telke, S. U. Jadhav, Volker M. Vogt, Herbert P. Schweizer, Eric J. Rubin, Amit Kumar Pandey and Christopher M. Sassetti. Their work appears in journals such as Bioresource Technology, International Journal of Biological Macromolecules, Tuberculosis, Vaccine and Applied Biochemistry and Biotechnology.
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.