Sarina Madhavan
- Molecular Biology top 10%
- Genetics top 10%
- Clinical Psychology top 10%
- Cardiology and Cardiovascular Medicine
- Business and International Management top 2%
- Co-authors
- Charles A. GersbachPratiksha I. ThakoreRuth M. Castellanos RiveraXiufang PanEirik A. MorebChristopher E. NelsonChady H. HakimWinston X. Yan
- Topics
- CRISPR and Genetic Engineering (3 papers)Muscle Physiology and Disorders (3 papers)Global Cancer Incidence and Screening (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Sarina Madhavan
8 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 820
- Genetics 315
- Clinical Psychology 182
- Cardiology and Cardiovascular Medicine 106
- Business and International Management 101
Countries citing papers authored by Sarina Madhavan
This map shows the geographic impact of Sarina 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 Sarina Madhavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarina Madhavan more than expected).
Fields of papers citing papers by Sarina Madhavan
This network shows the impact of papers produced by Sarina 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 Sarina Madhavan. The network helps show where Sarina Madhavan may publish in the future.
Co-authorship network of co-authors of Sarina Madhavan
This figure shows the co-authorship network connecting the top 25 collaborators of Sarina Madhavan. A scholar is included among the top collaborators of Sarina Madhavan 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 Sarina Madhavan. Sarina Madhavan 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 | 2 | |
| 3 | 15 | |
| 4 | Health risks and outcomes that disproportionately affect women during the Covid-19 pandemic: A reviewbreakdown → | 356 |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 2 | |
| 8 | In vivo genome editing improves muscle function in a mouse model of Duchenne muscular dystrophybreakdown → | 848 |
| 9 | Age at menarche of South Indian girls belonging to the states of Madras and Kerala. | 29 |
About Sarina Madhavan
Sarina Madhavan is a scholar working on Neuropsychology and Physiological Psychology, Clinical Biochemistry and Oncology, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Muscle Physiology and Disorders (3 papers) and Global Cancer Incidence and Screening (2 papers). The work is most often cited by research in Business and International Management (101 citations), Aging (63 citations) and Molecular Biology (820 citations). Sarina Madhavan has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Charles A. Gersbach, Pratiksha I. Thakore, Ruth M. Castellanos Rivera, Xiufang Pan, Eirik A. Moreb, Christopher E. Nelson, Chady H. Hakim, Winston X. Yan, Aravind Asokan and David G. Ousterout. Their work appears in journals such as Science, PLoS ONE and Social Science & Medicine.
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.