Madhavika N. Serasinghe
- Cancer Research top 10%
- Molecular Biology top 10%
- Mitochondrial Function and Pathology 6
- ATP Synthase and ATPases Research 5
- Cell death mechanisms and regulation 4
- Melanoma and MAPK Pathways 3
- Ubiquitin and proteasome pathways 3
- Aging top 10%
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders 2
- Endocrine and Autonomic Systems top 10%
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- interferon and immune responses 2
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- melanin and skin pigmentation 2
- Co-authors
- Jerry E. ChipukRana ElkholiThibaud T. RenaultShira WiederJames J. AsciollaKyle L. HoehnOmar JabadoHiromi Sesaki
- Journals
- Molecular Cell (3 papers)Journal of Biological Chemistry (2 papers)Handbook of experimental pharmacology (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Madhavika N. Serasinghe
17 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 92
- Cancer Research 245
- Molecular Biology 949
- Aging 21
- Clinical Biochemistry 78
- Endocrine and Autonomic Systems 69
Countries citing papers authored by Madhavika N. Serasinghe
This map shows the geographic impact of Madhavika N. Serasinghe'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 Madhavika N. Serasinghe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhavika N. Serasinghe more than expected).
Fields of papers citing papers by Madhavika N. Serasinghe
This network shows the impact of papers produced by Madhavika N. Serasinghe. 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 Madhavika N. Serasinghe. The network helps show where Madhavika N. Serasinghe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Madhavika N. Serasinghe, 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 | 2020 | 8 | |
| 2 | 2019 | 56 | |
| 3 | 2019 | 9 | |
| 4 | 2018 | 14 | |
| 5 | 2018 | 19 | |
| 6 | 2017 | 63 | |
| 7 | 2017 | 151 | |
| 8 | 2016 | 140 | |
| 9 | 2015 | 321 | |
| 10 | 2015 | 105 | |
| 11 | 2014 | 56 | |
| 12 | 2014 | 47 | |
| 13 | 2014 | 162 | |
| 14 | 2011 | 18 | |
| 15 | 2011 | 44 | |
| 16 | 2009 | 16 | |
| 17 | 2008 | 37 |
About Madhavika N. Serasinghe
Madhavika N. Serasinghe is a scholar working on Endocrine and Autonomic Systems, Clinical Biochemistry and Molecular Biology, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), ATP Synthase and ATPases Research (5 papers), Cell death mechanisms and regulation (4 papers), Melanoma and MAPK Pathways (3 papers), Ubiquitin and proteasome pathways (3 papers), interferon and immune responses (2 papers), Metabolism and Genetic Disorders (2 papers) and melanin and skin pigmentation (2 papers). The work is most often cited by research in Cancer Research (245 citations), Molecular Biology (949 citations) and Aging (21 citations). Madhavika N. Serasinghe has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Jerry E. Chipuk, Rana Elkholi, Thibaud T. Renault, Shira Wieder, James J. Asciolla, Kyle L. Hoehn, Omar Jabado, Hiromi Sesaki, Yusuke Kageyama and Yisang Yoon. Their work appears in journals such as Molecular Cell, Journal of Biological Chemistry, Handbook of experimental pharmacology, Skeletal Muscle and Pigment Cell & Melanoma Research.
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.