Bineeta Kashyap
- Microbiology top 5%
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology 18
- Antifungal resistance and susceptibility 8
- Epidemiology top 5%
- Mycobacterium research and diagnosis 13
- Nail Diseases and Treatments 9
- Fungal Infections and Studies 7
- Pneumonia and Respiratory Infections 6
- Cell Biology top 5%
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- Infectious Diseases and Tuberculosis 14
- Diagnosis and treatment of tuberculosis 9
- Co-authors
- Preena BhallaRavinder KaurAnita ChakravartiShilpi GuptaShukla DasRajat JhambArvind KumarIqbal Kaur
- Journals
- SHILAP Revista de lepidopterología (10 papers)International Journal of Infectious Diseases (1 paper)Scandinavian Journal of Immunology (1 paper)
- Partner nations
- IndiaUnited StatesCzechia
In The Last Decade
Bineeta Kashyap
88 papers receiving 858 citations
Peers
Comparison fields: 5 of 100
- Microbiology 15
- Infectious Diseases 321
- Epidemiology 574
- Cell Biology 222
- Applied Microbiology and Biotechnology 27
Countries citing papers authored by Bineeta Kashyap
This map shows the geographic impact of Bineeta Kashyap'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 Bineeta Kashyap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bineeta Kashyap more than expected).
Fields of papers citing papers by Bineeta Kashyap
This network shows the impact of papers produced by Bineeta Kashyap. 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 Bineeta Kashyap. The network helps show where Bineeta Kashyap may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bineeta Kashyap, 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 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 1 | |
| 9 | 2020 | 4 | |
| 10 | REFERENCE VALUES OF NEUTROPHIL LYMPHOCYTE RATIO AND PLATELET LYMPHOCYTE RATIO IN HEALTHY ADULTS IN A TERTIARY CARE CENTER IN NORTH INDIA | 2020 | 1 |
| 11 | 2017 | 4 | |
| 12 | 2017 | 4 | |
| 13 | Diagnostic dilemma in female genital tuberculosis- staining techniques\nrevisited | 2014 | 6 |
| 14 | 2013 | 13 | |
| 15 | 2011 | 9 | |
| 16 | 2010 | 43 | |
| 17 | 2010 | 11 | |
| 18 | 2008 | 12 | |
| 19 | 2008 | 172 | |
| 20 | 2008 | 22 |
About Bineeta Kashyap
Bineeta Kashyap is a scholar working on Infectious Diseases, Epidemiology and Microbiology, having authored 95 papers that have together received 919 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (18 papers), Infectious Diseases and Tuberculosis (14 papers), Mycobacterium research and diagnosis (13 papers), Nail Diseases and Treatments (9 papers), Diagnosis and treatment of tuberculosis (9 papers), Antifungal resistance and susceptibility (8 papers), Fungal Infections and Studies (7 papers) and Pneumonia and Respiratory Infections (6 papers). The work is most often cited by research in Microbiology (15 citations), Infectious Diseases (321 citations) and Epidemiology (574 citations). Bineeta Kashyap has collaborated with scholars based in India, United States and Czechia. Frequent co-authors include Preena Bhalla, Ravinder Kaur, Anita Chakravarti, Shilpi Gupta, Shukla Das, Rajat Jhamb, Arvind Kumar, Iqbal Kaur, Beena Uppal and Sarika Jain. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Infectious Diseases and Scandinavian Journal of Immunology.
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.