Maya Madhavan
Impact in
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- Cell Adhesion Molecules Research
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- MicroRNA in disease regulation
Papers in
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- vaccines and immunoinformatics approaches 3
- RNA Interference and Gene Delivery 2
- Angiogenesis and VEGF in Cancer 2
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- SARS-CoV-2 and COVID-19 Research 2
- Viral Infections and Outbreaks Research 2
- Co-authors
- Prabha Balaram (4 shared papers)Priya Srinivas (4 shared papers)Elizabeth Abraham (2 shared papers)Aleyamma Mathew (1 shared paper)Iqbal Ike K. Ahmed (1 shared paper)Vinoy Thomas (1 shared paper)James M. Donahue (1 shared paper)Seeram Ramakrishna (1 shared paper)
- Journals
- Modern Pathology (1 paper)Pharmaceutics (1 paper)International Journal of Health Services (1 paper)Theoretical Computer Science (1 paper)Neurology (1 paper)
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Maya Madhavan
19 papers receiving 211 citations
Peers
Comparison fields: 5 of 62
- Immunology and Allergy 24
- Cancer Research 42
- Biomaterials 24
- Oncology 44
- Cell Biology 22
Countries citing papers authored by Maya Madhavan
This map shows the geographic impact of Maya Madhavan'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 Maya Madhavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Madhavan more than expected).
Fields of papers citing papers by Maya Madhavan
This network shows the impact of papers produced by Maya Madhavan. 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 Maya Madhavan. The network helps show where Maya Madhavan may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Madhavan, 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 | 2022 | 41 | |
| 2 | 2001 | 41 | |
| 3 | 2013 | 35 | |
| 4 | 2002 | 21 | |
| 5 | 2022 | 19 | |
| 6 | 2000 | 8 | |
| 7 | 2018 | 7 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 7 | |
| 10 | Apoptotic index: use in predicting recurrence in breast cancer patients. | 2002 | 6 |
| 11 | 2023 | 5 | |
| 12 | 2021 | 5 | |
| 13 | 2016 | 5 | |
| 14 | 2020 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2020 | 2 | |
| 18 | Endometrial mast cells in loop menorrhagia. | 1974 | 1 |
| 19 | Nm23H1 and p53 proteins are differentially correlated to metastasis in breast carcinoma. | 2002 | 1 |
| 20 | 2023 | 0 |
About Maya Madhavan
Maya Madhavan is a scholar working on Molecular Biology, Infectious Diseases, Oncology, Health and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 219 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (3 papers), RNA Interference and Gene Delivery (2 papers), Cancer Cells and Metastasis (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Vaccine Coverage and Hesitancy (2 papers) and Viral Infections and Outbreaks Research (2 papers). The work is most often cited by research in Immunology and Allergy (24 citations), Cancer Research (42 citations), Biomaterials (24 citations), Oncology (44 citations) and Cell Biology (22 citations). Maya Madhavan has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Prabha Balaram, Priya Srinivas, Elizabeth Abraham, Aleyamma Mathew, Iqbal Ike K. Ahmed, Vinoy Thomas, James M. Donahue, Seeram Ramakrishna, Mina Zare and Iqbal Ahmed. Their work appears in journals such as Modern Pathology, Pharmaceutics, International Journal of Health Services, Theoretical Computer Science and Neurology.
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.