Anup Padmanabhan
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Cellular transport and secretion
Papers in
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- Fungal and yeast genetics research 3
- Genomics and Chromatin Dynamics 2
- CRISPR and Genetic Engineering 2
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- Cellular Mechanics and Interactions 6
- Hippo pathway signaling and YAP/TAZ 2
- Microtubule and mitosis dynamics 2
- Co-authors
- Ronen Zaidel‐Bar (6 shared papers)Xie Tang (3 shared papers)Mohan K. Balasubramanian (3 shared papers)Hui Ting Ong (2 shared papers)Linda J. Kenney (1 shared paper)Kavya Bakka (2 shared papers)Junqi Huang (2 shared papers)Roland Wedlich‐Söldner (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Current Biology (2 papers)The Journal of Cell Biology (1 paper)Scientific Reports (1 paper)Biotechnology Letters (1 paper)
- Partner nations
- SingaporeUnited StatesIndia
In The Last Decade
Anup Padmanabhan
12 papers receiving 392 citations
Peers
Comparison fields: 5 of 69
- Aging 43
- Cell Biology 232
- Molecular Biology 267
- Endocrinology 18
- Immunology and Allergy 18
Countries citing papers authored by Anup Padmanabhan
This map shows the geographic impact of Anup Padmanabhan'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 Anup Padmanabhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anup Padmanabhan more than expected).
Fields of papers citing papers by Anup Padmanabhan
This network shows the impact of papers produced by Anup Padmanabhan. 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 Anup Padmanabhan. The network helps show where Anup Padmanabhan may publish in the future.
Co-authors
The 25 scholars most cited alongside Anup Padmanabhan, 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 | 2015 | 76 | |
| 2 | 2012 | 75 | |
| 3 | 2011 | 61 | |
| 4 | 2019 | 52 | |
| 5 | 2016 | 32 | |
| 6 | 2018 | 32 | |
| 7 | 2015 | 30 | |
| 8 | 2010 | 20 | |
| 9 | 2017 | 8 | |
| 10 | 1993 | 6 | |
| 11 | 2007 | 1 | |
| 12 | 2017 | 1 | |
| 13 | 2024 | 0 |
About Anup Padmanabhan
Anup Padmanabhan is a scholar working on Molecular Biology, Cell Biology, Aging, Ecology, Evolution, Behavior and Systematics and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 394 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (6 papers), Fungal and yeast genetics research (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Biocrusts and Microbial Ecology (2 papers), Microtubule and mitosis dynamics (2 papers), Genomics and Chromatin Dynamics (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Aging (43 citations), Cell Biology (232 citations), Molecular Biology (267 citations), Endocrinology (18 citations) and Immunology and Allergy (18 citations). Anup Padmanabhan has collaborated with scholars based in Singapore, United States and India. Frequent co-authors include Ronen Zaidel‐Bar, Xie Tang, Mohan K. Balasubramanian, Hui Ting Ong, Linda J. Kenney, Kavya Bakka, Junqi Huang, Roland Wedlich‐Söldner, Haochen Yu and Yao Wu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Current Biology, The Journal of Cell Biology, Scientific Reports and Biotechnology Letters.
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.