Daniel G. Jay

6.1k citations
78 papers · 5.2k · h-index 39

Impact in

  • Cell Biology top 0.5%
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics
    • Axon Guidance and Neuronal Signaling
    • Photoreceptor and optogenetics research
    • Neurobiology and Insect Physiology Research

Papers in

Daniel G. Jay

76 papers receiving 5.1k citations

Peers

Daniel G. Jay
Comparison fields: 5 of 133
  • Cell Biology 1.4k
  • Cellular and Molecular Neuroscience 1.2k
  • Biophysics 309
  • Molecular Biology 3.0k
  • Developmental Neuroscience 161
Replace Kiyoko Fukami with:
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Walter Witke Germany
Nobuhiko Kojima Japan
Nobuhiro Morone Japan
Ilan Spector United States
Ora Bernard Australia
Jiro Usukura Japan
Jyoti K. Jaiswal United States
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Leon G.J. Tertoolen Netherlands
Daniel G. Jay relative to Kiyoko Fukami Japan Kiyoko Fukami's profile →
Citations per field
00.5×1.5×
Kiyoko Fukami · 1×
Citations per year

Countries citing papers authored by Daniel G. Jay

Since Specialization
Citations

This map shows the geographic impact of Daniel G. Jay'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 Daniel G. Jay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel G. Jay more than expected).

Fields of papers citing papers by Daniel G. Jay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel G. Jay. 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 Daniel G. Jay. The network helps show where Daniel G. Jay may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel G. Jay, 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 Daniel G. Jay Line = papers co-authored together Daniel G. Jay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004496
2 2000279
3 2010259
4 1988210
5 2004204
6 1997185
7 2009176
8 1996167
9 2011167
10 1994162
11 1986145
12 1995139
13 2004133
14 2019123
15 2002108
16 2005105
17 2009100
18 199096
19 200095
20 200095

About Daniel G. Jay

Daniel G. Jay is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Biophysics and Biomedical Engineering, having authored 78 papers that have together received 5.2k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (18 papers), Axon Guidance and Neuronal Signaling (14 papers), Photoreceptor and optogenetics research (11 papers), Heat shock proteins research (9 papers), Neurobiology and Insect Physiology Research (8 papers), Advanced Fluorescence Microscopy Techniques (7 papers), Hippo pathway signaling and YAP/TAZ (5 papers) and Nerve injury and regeneration (5 papers). The work is most often cited by research in Cell Biology (1.4k citations), Cellular and Molecular Neuroscience (1.2k citations), Biophysics (309 citations), Molecular Biology (3.0k citations) and Developmental Neuroscience (161 citations). Daniel G. Jay has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Brenda K. Eustace, Jessica McCready, Jessica Sims, Jean K. Stewart, Leodevico L. Ilag, Joseph C. Liao, Lewis C. Cantley, Dean Yimlamai, Christian Roy and Richard F. Lamb. Their work appears in journals such as Proceedings of the National Academy of Sciences, Photochemistry and Photobiology, Cancer Research, The Journal of Cell Biology and Biophysical Journal.

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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