Anima Sharma
Impact in
- Pollution top 10%
- Microbial bioremediation and biosurfactants
-
- Enzyme Production and Characterization
Papers in
-
- Nail Diseases and Treatments 7
-
- Enzyme Production and Characterization 6
- Microbial Metabolism and Applications 2
- Co-authors
- Subhash Chandra (1 shared paper)Richa Sharma (1 shared paper)Subhash Chandra (6 shared papers)Meenakshi Sharma (1 shared paper)Sunil Taneja (2 shared papers)Nipun Verma (1 shared paper)Radha K. Dhiman (2 shared papers)Madhu Chopra (1 shared paper)
- Journals
- Journal of King Saud University - Science (2 papers)Journal of Hepatology (1 paper)Mycoses (1 paper)Applied Biochemistry and Biotechnology (1 paper)Hepatology International (1 paper)
- Partner nations
- IndiaUnited Kingdom
In The Last Decade
Anima Sharma
17 papers receiving 310 citations
Peers
Comparison fields: 5 of 69
- Pollution 123
- Biotechnology 41
- Epidemiology 95
- Health, Toxicology and Mutagenesis 39
- Analytical Chemistry 23
Countries citing papers authored by Anima Sharma
This map shows the geographic impact of Anima Sharma'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 Anima Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anima Sharma more than expected).
Fields of papers citing papers by Anima Sharma
This network shows the impact of papers produced by Anima Sharma. 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 Anima Sharma. The network helps show where Anima Sharma may publish in the future.
Co-authors
The 23 scholars most cited alongside Anima Sharma, 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 | 2012 | 143 | |
| 2 | 2022 | 61 | |
| 3 | 2011 | 53 | |
| 4 | 2015 | 16 | |
| 5 | 2017 | 13 | |
| 6 | 2019 | 7 | |
| 7 | 2016 | 5 | |
| 8 | 2021 | 4 | |
| 9 | Prevalence of keratinophilic fungi in semi-arid region, with particular reference to soil pH. | 2010 | 3 |
| 10 | 2020 | 3 | |
| 11 | 2012 | 3 | |
| 12 | 2018 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2020 | 2 | |
| 15 | 2017 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2014 | 1 | |
| 18 | Tribe in Transition ; A Study of Thakur Gonds | 2005 | 0 |
About Anima Sharma
Anima Sharma is a scholar working on Epidemiology, Biotechnology, Plant Science, Molecular Biology and Cell Biology, having authored 18 papers that have together received 322 indexed citations. Recurring topics across this work include Nail Diseases and Treatments (7 papers), Enzyme Production and Characterization (6 papers), Plant Pathogens and Fungal Diseases (3 papers), Bee Products Chemical Analysis (2 papers), Mycorrhizal Fungi and Plant Interactions (2 papers), Microbial bioremediation and biosurfactants (2 papers), Microbial Metabolism and Applications (2 papers) and Agronomic Practices and Intercropping Systems (1 paper). The work is most often cited by research in Pollution (123 citations), Biotechnology (41 citations), Epidemiology (95 citations), Health, Toxicology and Mutagenesis (39 citations) and Analytical Chemistry (23 citations). Anima Sharma has collaborated with scholars based in India and United Kingdom. Frequent co-authors include Subhash Chandra, Richa Sharma, Subhash Chandra, Meenakshi Sharma, Sunil Taneja, Nipun Verma, Radha K. Dhiman, Madhu Chopra, Ajay Duseja and Madhumita Premkumar. Their work appears in journals such as Journal of King Saud University - Science, Journal of Hepatology, Mycoses, Applied Biochemistry and Biotechnology and Hepatology International.
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.