Daniel G. Jay

6.1k total citations
78 papers, 5.0k citations indexed

About

Daniel G. Jay is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Daniel G. Jay has authored 78 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 31 papers in Cellular and Molecular Neuroscience and 30 papers in Cell Biology. Recurrent topics in Daniel G. Jay's work include Cellular Mechanics and Interactions (18 papers), Axon Guidance and Neuronal Signaling (15 papers) and Photoreceptor and optogenetics research (10 papers). Daniel G. Jay is often cited by papers focused on Cellular Mechanics and Interactions (18 papers), Axon Guidance and Neuronal Signaling (15 papers) and Photoreceptor and optogenetics research (10 papers). Daniel G. Jay collaborates with scholars based in United States, Germany and Japan. Daniel G. Jay's co-authors include Brenda K. Eustace, Jessica McCready, Jessica Sims, Jean K. Stewart, Joseph C. Liao, Leodevico L. Ilag, Dean Yimlamai, Lewis C. Cantley, Christian Roy and Richard F. Lamb and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Daniel G. Jay

77 papers receiving 4.9k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel G. Jay 3.0k 1.3k 1.1k 524 500 78 5.0k
Kiyoko Fukami 4.2k 1.4× 2.0k 1.5× 813 0.7× 787 1.5× 507 1.0× 121 7.2k
Hans‐Hermann Gerdes 3.4k 1.1× 1.6k 1.2× 932 0.8× 410 0.8× 346 0.7× 53 5.2k
Ora Bernard 3.3k 1.1× 1.8k 1.3× 980 0.9× 410 0.8× 623 1.2× 64 5.8k
Walter Witke 2.3k 0.8× 2.0k 1.5× 977 0.9× 395 0.8× 253 0.5× 55 4.6k
Senyon Choe 5.5k 1.8× 855 0.6× 1.2k 1.0× 319 0.6× 246 0.5× 115 7.3k
Nobuhiko Kojima 2.4k 0.8× 868 0.6× 1.0k 0.9× 526 1.0× 540 1.1× 192 5.3k
Matilda Katan 4.0k 1.3× 1.5k 1.1× 387 0.3× 467 0.9× 705 1.4× 102 5.8k
Jiro Usukura 3.3k 1.1× 1.3k 1.0× 1.0k 0.9× 333 0.6× 237 0.5× 128 4.8k
Miho Iijima 4.5k 1.5× 2.0k 1.5× 487 0.4× 733 1.4× 359 0.7× 87 6.2k
Kenji Sobue 4.8k 1.6× 2.7k 2.0× 1.7k 1.5× 758 1.4× 478 1.0× 145 7.9k

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-authorship network of co-authors of Daniel G. Jay

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel G. Jay. A scholar is included among the top collaborators of Daniel G. Jay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel G. Jay. Daniel G. Jay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Singh, Pragya, et al.. (2023). Extracellular Hsp90 Binds to and Aligns Collagen-1 to Enhance Breast Cancer Cell Invasiveness. Cancers. 15(21). 5237–5237. 4 indexed citations
2.
McCready, Jessica, Lisa M. Arendt, Stephen Lyle, et al.. (2014). Pregnancy-associated breast cancers are driven by differences in adipose stromal cells present during lactation. Breast Cancer Research. 16(1). R2–R2. 25 indexed citations
3.
Hauptschein, Robert, et al.. (2011). Identification of CD44 as a Surface Biomarker for Drug Resistance by Surface Proteome Signature Technology. Molecular Cancer Research. 9(5). 637–647. 33 indexed citations
4.
Sims, Jessica, Jessica McCready, & Daniel G. Jay. (2011). Extracellular Heat Shock Protein (Hsp)70 and Hsp90α Assist in Matrix Metalloproteinase-2 Activation and Breast Cancer Cell Migration and Invasion. PLoS ONE. 6(4). e18848–e18848. 155 indexed citations
5.
Hinton, Ayana, Souad R. Sennoune, Sarah Bond, et al.. (2009). Function of a Subunit Isoforms of the V-ATPase in pH Homeostasis and in Vitro Invasion of MDA-MB231 Human Breast Cancer Cells. Journal of Biological Chemistry. 284(24). 16400–16408. 167 indexed citations
6.
Schwartz, Ann C., Rebekah Bradley, Melissa Sexton, et al.. (2006). Pain Medication Use Among Patients With Posttraumatic Stress Disorder. Psychosomatics. 47(2). 136–142. 79 indexed citations
7.
Eustace, Brenda K., Jean K. Stewart, Jennifer E. Roy, et al.. (2004). CD155/PVR plays a key role in cell motility during tumor cell invasion and migration. BMC Cancer. 4(1). 73–73. 202 indexed citations
8.
Yimlamai, Dean, Liza Konnikova, Larry G. Moss, & Daniel G. Jay. (2004). The zebrafish down syndrome cell adhesion molecule is involved in cell movement during embryogenesis. Developmental Biology. 279(1). 44–57. 33 indexed citations
9.
Diefenbach, Thomas, et al.. (2003). Modeling the Role of Myosin 1c in Neuronal Growth Cone Turning. Biophysical Journal. 85(5). 3319–3328. 34 indexed citations
10.
Schröder, Reinhard, Daniel G. Jay, & Diethard Tautz. (2000). Elimination of EVE protein by CALI in the short germ band insect Tribolium suggests a conserved pair-rule function for even skipped. Mechanisms of Development. 90(2). 329–329. 5 indexed citations
11.
Lamb, Richard F., Christian Roy, Harry V. Vinters, et al.. (2000). The TSC1 tumour suppressor hamartin regulates cell adhesion through ERM proteins and the GTPase Rho. Nature Cell Biology. 2(5). 281–287. 265 indexed citations
12.
Schröder, Reinhard, Daniel G. Jay, & Diethard Tautz. (1999). Elimination of EVE protein by CALI in the short germ band insect Tribolium suggests a conserved pair-rule function for even skipped. Mechanisms of Development. 80(2). 191–195. 39 indexed citations
13.
Jay, Daniel G., et al.. (1999). Radixin Is Involved in Lamellipodial Stability during Nerve Growth Cone Motility. Molecular Biology of the Cell. 10(5). 1511–1520. 58 indexed citations
14.
Jay, Daniel G. & Takashi Sakurai. (1999). Chromophore-assisted laser inactivation (CALI) to elucidate cellular mechanisms of cancer. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1424(2-3). M39–M48. 26 indexed citations
15.
Jay, Daniel G.. (1996). Role of Band 3 in Homeostasis and Cell Shape. Cell. 86(6). 853–854. 46 indexed citations
16.
Beermann, Anke & Daniel G. Jay. (1994). Chapter 37 Chromophore-Assisted Laser Inactivation of Cellular Proteins. Methods in cell biology. 44. 715–732. 31 indexed citations
17.
Booth, James G., et al.. (1993). Fasciclin I and II have distinct roles in the development of grasshopper pioneer neurons. Neuron. 11(3). 409–421. 48 indexed citations
18.
Jay, Daniel G., et al.. (1993). Methods for ablating neurons. Current Opinion in Neurobiology. 3(5). 738–742. 10 indexed citations
19.
Shankland, Marty, et al.. (1992). Single cell laser inactivation of fasciclin II perturbs axonogenesis in the grasshopper limb bud. The Society for Neuroscience Abstracts. 18. 1461. 1 indexed citations
20.
Linden, Karl G., Joseph C. Liao, & Daniel G. Jay. (1992). Spatial specificity of chromophore assisted laser inactivation of protein function. Biophysical Journal. 61(4). 956–962. 44 indexed citations

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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