Surabhi Madan
- Infectious Diseases top 5%
- Epidemiology
- Otorhinolaryngology top 10%
- Neurology
- Applied Microbiology and Biotechnology top 10%
- Co-authors
- Neha GuptaPrakash ShastriAyesha SunavalaRitesh AgarwalPratik SavajShivaprakash M. RudramurthyJayanthi SavioKamalesh Kumar Patel
- Topics
- SARS-CoV-2 and COVID-19 Research (1 paper)Medicinal Plants and Neuroprotection (1 paper)HIV Research and Treatment (1 paper)
- Journals
- Emerging infectious diseasesIndian Journal of Medical MicrobiologyBrazilian Journal of Cardiovascular Surgery
- Partner nations
- India
In The Last Decade
Surabhi Madan
6 papers receiving 281 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Infectious Diseases 261
- Epidemiology 112
- Otorhinolaryngology 43
- Neurology 41
- Applied Microbiology and Biotechnology 24
Countries citing papers authored by Surabhi Madan
This map shows the geographic impact of Surabhi Madan'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 Surabhi Madan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surabhi Madan more than expected).
Fields of papers citing papers by Surabhi Madan
This network shows the impact of papers produced by Surabhi Madan. 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 Surabhi Madan. The network helps show where Surabhi Madan may publish in the future.
Co-authorship network of co-authors of Surabhi Madan
This figure shows the co-authorship network connecting the top 25 collaborators of Surabhi Madan. A scholar is included among the top collaborators of Surabhi Madan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Surabhi Madan. Surabhi Madan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | Multicenter Epidemiologic Study of Coronavirus Disease–Associated Mucormycosis, Indiabreakdown → | 278 |
| 6 | Facial colliculus syndrome with inflammatory cranial neuritis in a patient with covid 19 with mucormycosis superinfection | 2 |
| 7 | Successful management of highly drug resistant tuberculosis with individualised drug susceptibility testing. | 4 |
About Surabhi Madan
Surabhi Madan is a scholar working on Infectious Diseases, Virology and Complementary and alternative medicine, having authored 7 papers that have together received 289 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (1 paper), Medicinal Plants and Neuroprotection (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Infectious Diseases (261 citations), Applied Microbiology and Biotechnology (24 citations) and Otorhinolaryngology (43 citations). Surabhi Madan has collaborated with scholars based in India. Frequent co-authors include Neha Gupta, Prakash Shastri, Ayesha Sunavala, Ritesh Agarwal, Pratik Savaj, Shivaprakash M. Rudramurthy, Jayanthi Savio, Kamalesh Kumar Patel, Rungmei S. K. Marak and Manoj Shevkani. Their work appears in journals such as Emerging infectious diseases, Indian Journal of Medical Microbiology and Brazilian Journal of Cardiovascular Surgery.
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.