John Devany

568 citations
8 papers · 363 · h-index 7

Impact in

  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
    • Cellular Mechanics and Interactions

Papers in

    • Cellular Mechanics and Interactions 3
    • Hippo pathway signaling and YAP/TAZ 2
    • Cellular transport and secretion 2
    • Advanced biosensing and bioanalysis techniques 1

John Devany

8 papers receiving 362 citations

Peers

John Devany
Comparison fields: 5 of 73
  • Physiology 56
  • Cell Biology 109
  • Biophysics 27
  • Molecular Biology 182
  • Aging 4
Replace Aneesh Tazhe Veetil with:
Aneesh Tazhe Veetil United States
Phedra Marius United Kingdom
Jason C. Casler United States
Morgane Rosendale France
Aniruddha Panda United States
Karsten Meyenberg Germany
Vinod Udayar Switzerland
Albert Galera‐Prat Finland
Seth A. Villarreal United States
Ved Prakash India
John Devany relative to Aneesh Tazhe Veetil United States Aneesh Tazhe Veetil's profile →
Citations per field
00.5×3.3×
Aneesh Tazhe Veetil · 1×
Citations per year

Countries citing papers authored by John Devany

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with John Devany Line = papers co-authored together John Devany links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2018120
2 202092
3 202153
4 201844
5 202427
6 202318
7 20206
8 20223

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 363 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Cellular transport and secretion (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Cell Image Analysis Techniques (1 paper), Neuroscience and Neural Engineering (1 paper) and Lysosomal Storage Disorders Research (1 paper). The work is most often cited by research in Physiology (56 citations), Cell Biology (109 citations), Biophysics (27 citations), Molecular Biology (182 citations) and Aging (4 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, Aneesh Tazhe Veetil, Michael Schwake, Daniel M. Sussman and M. Lisa Manning. Their work appears in journals such as Nature Methods, The Journal of Cell Biology, Life Science Alliance, Developmental Cell and Cell.

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.

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