Dipika Shaw
Impact in
- Epidemiology top 5%
- Nail Diseases and Treatments
- Fungal Infections and Studies
- Cell Biology top 5%
- Plant Pathogens and Fungal Diseases
Papers in
- Epidemiology 20
- Nail Diseases and Treatments 19
- Fungal Infections and Studies 12
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- Antifungal resistance and susceptibility 6
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Shivaprakash M. Rudramurthy (19 shared papers)Arunaloke Chakrabarti (8 shared papers)Sunil Dogra (9 shared papers)Shamanth A. Shankarnarayan (3 shared papers)Tarun Narang (5 shared papers)Raees A. Paul (1 shared paper)Khurram Mushtaq (1 shared paper)Saumya Panda (4 shared papers)
- Journals
- Mycoses (4 papers)Medical Mycology (4 papers)PLoS ONE (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)Mycopathologia (2 papers)
- Partner nations
- IndiaNetherlandsGermany
In The Last Decade
Dipika Shaw
24 papers receiving 637 citations
Peers
Comparison fields: 5 of 62
- Epidemiology 534
- Cell Biology 266
- Infectious Diseases 162
- Dermatology 25
- Periodontics 12
Countries citing papers authored by Dipika Shaw
This map shows the geographic impact of Dipika Shaw'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 Dipika Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipika Shaw more than expected).
Fields of papers citing papers by Dipika Shaw
This network shows the impact of papers produced by Dipika Shaw. 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 Dipika Shaw. The network helps show where Dipika Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Dipika Shaw, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 202 | |
| 2 | 2021 | 104 | |
| 3 | 2020 | 67 | |
| 4 | 2019 | 48 | |
| 5 | 2020 | 37 | |
| 6 | 2021 | 32 | |
| 7 | 2022 | 32 | |
| 8 | 2021 | 22 | |
| 9 | 2023 | 15 | |
| 10 | 2017 | 15 | |
| 11 | 2021 | 13 | |
| 12 | 2019 | 12 | |
| 13 | 2025 | 11 | |
| 14 | 2021 | 11 | |
| 15 | 2023 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2021 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2021 | 3 | |
| 20 | 2024 | 3 |
About Dipika Shaw
Dipika Shaw is a scholar working on Epidemiology, Infectious Diseases, Cell Biology, Pharmacology and Dermatology, having authored 26 papers that have together received 656 indexed citations. Recurring topics across this work include Nail Diseases and Treatments (19 papers), Fungal Infections and Studies (12 papers), Plant Pathogens and Fungal Diseases (8 papers), Antifungal resistance and susceptibility (6 papers), Fungal Biology and Applications (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Toxin Mechanisms and Immunotoxins (1 paper) and Helminth infection and control (1 paper). The work is most often cited by research in Epidemiology (534 citations), Cell Biology (266 citations), Infectious Diseases (162 citations), Dermatology (25 citations) and Periodontics (12 citations). Dipika Shaw has collaborated with scholars based in India, Netherlands and Germany. Frequent co-authors include Shivaprakash M. Rudramurthy, Arunaloke Chakrabarti, Sunil Dogra, Shamanth A. Shankarnarayan, Tarun Narang, Raees A. Paul, Khurram Mushtaq, Saumya Panda, Shreya Singh and Anup Ghosh. Their work appears in journals such as Mycoses, Medical Mycology, PLoS ONE, Antimicrobial Agents and Chemotherapy and Mycopathologia.
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.