Neelam Sharma
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- Antibiotic Use and Resistance 3
- Parasitology top 10%
- Infectious Diseases top 10%
- Antifungal resistance and susceptibility 5
- Antimicrobial Resistance in Staphylococcus 2
- General Dentistry top 10%
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- COVID-19 diagnosis using AI 3
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- Plant Pathogens and Fungal Diseases 3
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- Pediatric health and respiratory diseases 2
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- Natural Antidiabetic Agents Studies 2
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- Pharmaceutical Practices and Patient Outcomes 2
- Co-authors
- Deepak JuyalMunesh SharmaShekhar PalRajat PrakashVikrant NegiRabindra N. RoyAshwin Singh PariharAmit Kumar Rana
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Access (1 paper)Wireless Communications and Mobile Computing (1 paper)
- Partner nations
- IndiaSaudi ArabiaSouth Korea
In The Last Decade
Neelam Sharma
40 papers receiving 420 citations
Peers
Comparison fields: 5 of 119
- Applied Microbiology and Biotechnology 18
- Parasitology 47
- Infectious Diseases 124
- General Dentistry 12
- Molecular Medicine 29
Countries citing papers authored by Neelam Sharma
This map shows the geographic impact of Neelam 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 Neelam Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neelam Sharma more than expected).
Fields of papers citing papers by Neelam Sharma
This network shows the impact of papers produced by Neelam 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 Neelam Sharma. The network helps show where Neelam Sharma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Neelam 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 5 | |
| 10 | 2021 | 0 | |
| 11 | 2017 | 1 | |
| 12 | 2016 | 25 | |
| 13 | 2015 | 3 | |
| 14 | 2015 | 73 | |
| 15 | 2014 | 9 | |
| 16 | 2013 | 60 | |
| 17 | 2013 | 13 | |
| 18 | 2013 | 27 | |
| 19 | 2012 | 38 | |
| 20 | New microfungi from South East Asia. | 1979 | 3 |
About Neelam Sharma
Neelam Sharma is a scholar working on Applied Microbiology and Biotechnology, Otorhinolaryngology and Toxicology, having authored 46 papers that have together received 456 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (5 papers), COVID-19 diagnosis using AI (3 papers), Antibiotic Use and Resistance (3 papers), Plant Pathogens and Fungal Diseases (3 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Pediatric health and respiratory diseases (2 papers), Natural Antidiabetic Agents Studies (2 papers) and Pharmaceutical Practices and Patient Outcomes (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (18 citations), Parasitology (47 citations) and Infectious Diseases (124 citations). Neelam Sharma has collaborated with scholars based in India, Saudi Arabia and South Korea. Frequent co-authors include Deepak Juyal, Munesh Sharma, Shekhar Pal, Rajat Prakash, Vikrant Negi, Rabindra N. Roy, Ashwin Singh Parihar, Amit Kumar Rana, Nitish Pathak and Shabana Urooj. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Wireless Communications and Mobile Computing.
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.