Y. Gat

429 total citations
11 papers, 386 citations indexed

About

Y. Gat is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Spectroscopy. According to data from OpenAlex, Y. Gat has authored 11 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 3 papers in Spectroscopy. Recurrent topics in Y. Gat's work include Photoreceptor and optogenetics research (10 papers), Neuroscience and Neuropharmacology Research (9 papers) and Molecular Sensors and Ion Detection (3 papers). Y. Gat is often cited by papers focused on Photoreceptor and optogenetics research (10 papers), Neuroscience and Neuropharmacology Research (9 papers) and Molecular Sensors and Ion Detection (3 papers). Y. Gat collaborates with scholars based in Israel and United States. Y. Gat's co-authors include Mordechai Sheves, Michael Ottolenghi, A. Lewis, Itay Rousso, Noga Friedman, Hiroyuki Takei, G. H. Atkinson, Tong Ye, Sanford Ruhman and A. Maeda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Y. Gat

11 papers receiving 382 citations

Peers

Y. Gat

CMN

SPECT

AMPO

Akio Maeda Japan

Olaf Bousché United States

Baofu Ni United States

Frank Jäger United States

Nikolai A. Lobanov Poland

György Váró United States

Elias S. Awad United States

Richard A. Mathies United States

Ingrid Wallat Germany

Vitaly Shevchenko Russia

Akio Maeda Japan

Y. Gat

407 ×1.1

CMN

276 ×1.1

110 ×1.7

SPECT

26 ×0.7

AMPO

29 ×1.0

Citations per year, relative to Y. Gat Y. Gat (= 1×) peers Akio Maeda

Countries citing papers authored by Y. Gat

Since Specialization

Citations

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

Fields of papers citing papers by Y. Gat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y. Gat. 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 Y. Gat. The network helps show where Y. Gat may publish in the future.

Co-authorship network of co-authors of Y. Gat

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Gat. A scholar is included among the top collaborators of Y. Gat 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 Y. Gat. Y. Gat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Ye, Tong, Noga Friedman, Y. Gat, et al.. (1999). On the Nature of the Primary Light-Induced Events in Bacteriorhodopsin: Ultrafast Spectroscopy of Native and C₁₃=C₁₄ Locked Pigments. The Journal of Physical Chemistry B. 103(24). 5122–5130. 68 indexed citations

Rousso, Itay, Y. Gat, A. Lewis, Mordechai Sheves, & Michael Ottolenghi. (1998). Effective Light-Induced Hydroxylamine Reactions Occur with C13=C14 Nonisomerizable Bacteriorhodopsin Pigments. Biophysical Journal. 75(1). 413–417. 33 indexed citations

Gat, Y., Noga Friedman, Mordechai Sheves, & Michael Ottolenghi. (1997). Interaction between Asp-85 and the Proton-Releasing Group in Bacteriorhodopsin. A Study of an O-like Photocycle Intermediate. Biochemistry. 36(14). 4135–4148. 8 indexed citations

Rousso, Itay, Y. Gat, Igor E. Brodsky, et al.. (1997). Microsecond atomic force sensing of protein conformational dynamics: Implications for the primary light-induced events in bacteriorhodopsin. Proceedings of the National Academy of Sciences. 94(15). 7937–7941. 52 indexed citations

Friedman, Nir, Y. Gat, Mordechai Sheves, & Michael Ottolenghi. (1994). On the Heterogeneity of the M Population in the Photocycle of Bacteriorhodopsin. Biochemistry. 33(49). 14758–14767. 21 indexed citations

Brown, Leonid S., Y. Gat, Mordechai Sheves, et al.. (1994). The Retinal Schiff Base-Counterion Complex of Bacteriorhodopsin: Changed Geometry during the Photocycle Is a Cause of Proton Transfer to Aspartate 85. Biochemistry. 33(40). 12001–12011. 49 indexed citations

Takei, Hiroyuki, et al.. (1994). Active site lysine backbone undergoes conformational changes in the bacteriorhodopsin photocycle.. Journal of Biological Chemistry. 269(10). 7387–7389. 26 indexed citations

Gat, Y. & Mordechai Sheves. (1994). THE ORIGIN OF THE RED‐SHIFTED ABSORPTION MAXIMUM OF THE M₄₁₂ INTERMEDIATE IN THE BACTERIORHODOPSIN PHOTOCYCLE. Photochemistry and Photobiology. 59(3). 371–378. 12 indexed citations

Gat, Y. & Mordechai Sheves. (1993). A mechanism for controlling the pKa of the retinal protonated Schiff base in retinal proteins. A study with model compounds. Journal of the American Chemical Society. 115(9). 3772–3773. 83 indexed citations

10.

Takei, Hiroyuki, et al.. (1992). Low temperature FTIR study of the Schiff base reprotonation during the M-to-bR backphotoreaction. Biophysical Journal. 63(6). 1643–1653. 16 indexed citations

11.

Gat, Y., et al.. (1992). Participation of bacteriorhodopsin active-site lysine backbone in vibrations associated with retinal photochemistry.. Proceedings of the National Academy of Sciences. 89(6). 2434–2438. 18 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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