John Devany
Impact in
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
- Cell Biology top 10%
- Cellular Mechanics and Interactions
- Cellular transport and secretion
Papers in
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- Cellular Mechanics and Interactions 3
- Cellular transport and secretion 2
- Hippo pathway signaling and YAP/TAZ 2
- Microtubule and mitosis dynamics 1
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- Ubiquitin and proteasome pathways 1
- Retinal Development and Disorders 1
- Co-authors
- Yamuna Krishnan (3 shared papers)Kasturi Chakraborty (2 shared papers)Anand Saminathan (2 shared papers)Margaret L. Gardel (4 shared papers)Nagarjun Narayanaswamy (1 shared paper)Ka‐Ho Leung (1 shared paper)Michael Schwake (1 shared paper)Aneesh Tazhe Veetil (1 shared paper)
- Journals
- The Journal of Cell Biology (1 paper)Nature Nanotechnology (1 paper)Life Science Alliance (1 paper)Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
John Devany
8 papers receiving 386 citations
Peers
Comparison fields: 5 of 74
- Physiology 57
- Cell Biology 110
- Biophysics 28
- Molecular Biology 189
- Sensory Systems 12
Countries citing papers authored by John Devany
This map shows the geographic impact of John Devany'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 John Devany with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Devany more than expected).
Fields of papers citing papers by John Devany
This network shows the impact of papers produced by John Devany. 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 John Devany. The network helps show where John Devany may publish in the future.
Co-authors
The 25 scholars most cited alongside John Devany, 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 | 2018 | 124 | |
| 2 | 2020 | 96 | |
| 3 | 2021 | 57 | |
| 4 | 2018 | 46 | |
| 5 | 2024 | 32 | |
| 6 | 2023 | 23 | |
| 7 | 2020 | 6 | |
| 8 | 2022 | 3 |
About John Devany
John Devany is a scholar working on Cell Biology, Molecular Biology, Physiology, Cellular and Molecular Neuroscience and Oncology, having authored 8 papers that have together received 387 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (3 papers), Calcium signaling and nucleotide metabolism (2 papers), Cellular transport and secretion (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Neuroscience and Neural Engineering (1 paper), Ubiquitin and proteasome pathways (1 paper), Microtubule and mitosis dynamics (1 paper) and Retinal Development and Disorders (1 paper). The work is most often cited by research in Physiology (57 citations), Cell Biology (110 citations), Biophysics (28 citations), Molecular Biology (189 citations) and Sensory Systems (12 citations). John Devany has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Yamuna Krishnan, Kasturi Chakraborty, Anand Saminathan, Margaret L. Gardel, Nagarjun Narayanaswamy, Ka‐Ho Leung, Michael Schwake, Aneesh Tazhe Veetil, Takaki Yamamoto and Daniel M. Sussman. Their work appears in journals such as The Journal of Cell Biology, Nature Nanotechnology, Life Science Alliance, Cell and Proceedings of the National Academy of Sciences.
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.