Noga Friedman

3.2k total citations
102 papers, 2.7k citations indexed

About

Noga Friedman is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Spectroscopy. According to data from OpenAlex, Noga Friedman has authored 102 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Cellular and Molecular Neuroscience, 43 papers in Molecular Biology and 20 papers in Spectroscopy. Recurrent topics in Noga Friedman's work include Photoreceptor and optogenetics research (80 papers), Neuroscience and Neuropharmacology Research (42 papers) and Neuroscience and Neural Engineering (12 papers). Noga Friedman is often cited by papers focused on Photoreceptor and optogenetics research (80 papers), Neuroscience and Neuropharmacology Research (42 papers) and Neuroscience and Neural Engineering (12 papers). Noga Friedman collaborates with scholars based in Israel, United States and Germany. Noga Friedman's co-authors include Mordechai Sheves, Michael Ottolenghi, Sanford Ruhman, David Cahen, Yongdong Jin, Timor Baasov, Ron Naaman, Izhar Ron, Israel Pecht and Debabrata Mishra and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Chemical Society Reviews.

In The Last Decade

Noga Friedman

102 papers receiving 2.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Noga Friedman Israel 30 1.7k 1.3k 587 527 294 102 2.7k
Georg Büldt Germany 33 1.4k 0.8× 2.3k 1.8× 940 1.6× 138 0.3× 295 1.0× 68 3.4k
Raymond Birge United States 16 873 0.5× 661 0.5× 353 0.6× 229 0.4× 253 0.9× 36 1.6k
Charles V. Shank United States 16 911 0.5× 695 0.5× 1.3k 2.2× 470 0.9× 726 2.5× 26 3.1k
Igor Schapiro Israel 27 1.3k 0.7× 935 0.7× 863 1.5× 190 0.4× 572 1.9× 95 2.6k
Mark S. Braiman United States 31 2.6k 1.5× 1.9k 1.5× 331 0.6× 186 0.4× 175 0.6× 78 3.3k
Keiichi Torimitsu Japan 33 852 0.5× 710 0.6× 387 0.7× 1.1k 2.1× 430 1.5× 115 3.1k
Toshiaki Kakitani Japan 29 858 0.5× 1.0k 0.8× 1.2k 2.1× 540 1.0× 507 1.7× 117 2.7k
David S. Kliger United States 39 1.9k 1.1× 2.7k 2.1× 1.2k 2.0× 334 0.6× 1.0k 3.4× 227 5.2k
Oliver Weingart Germany 29 926 0.5× 586 0.5× 1.2k 2.0× 508 1.0× 1.2k 4.2× 65 3.4k
Yasuhisa Mizutani Japan 31 740 0.4× 1.5k 1.2× 763 1.3× 155 0.3× 720 2.4× 122 3.2k

Countries citing papers authored by Noga Friedman

Since Specialization
Citations

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

Fields of papers citing papers by Noga Friedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noga Friedman

This figure shows the co-authorship network connecting the top 25 collaborators of Noga Friedman. A scholar is included among the top collaborators of Noga Friedman 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 Noga Friedman. Noga Friedman 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.
Segatta, Francesco, Itay Gdor, Julien Réhault, et al.. (2018). Ultrafast Carotenoid to Retinal Energy Transfer in Xanthorhodopsin Revealed by the Combination of Transient Absorption and Two‐Dimensional Electronic Spectroscopy. Chemistry - A European Journal. 24(46). 12084–12092. 4 indexed citations
2.
Varade, Vaibhav, Tal Z. Markus, Kiran Vankayala, et al.. (2017). Bacteriorhodopsin based non-magnetic spin filters for biomolecular spintronics. Physical Chemistry Chemical Physics. 20(2). 1091–1097. 44 indexed citations
3.
Namboothiri, Irishi N. N., Divya K. Nair, Ellen Wachtel, et al.. (2012). Engineered-membranes: A novel concept for clustering of native lipid bilayers. Journal of Colloid and Interface Science. 388(1). 300–305. 3 indexed citations
4.
Gdor, Itay, et al.. (2010). Investigating excited state dynamics of salinixanthin and xanthorhodopsin in the near-infrared. Physical Chemistry Chemical Physics. 13(9). 3782–3787. 10 indexed citations
5.
Ron, Izhar, Noga Friedman, David Cahen, & Mordechai Sheves. (2008). Selective Electroless Deposition of Metal Clusters on Solid‐Supported Bacteriorhodopsin: Applications to Orientation Labeling and Electrical Contacts. Small. 4(12). 2271–2278. 10 indexed citations
6.
Jin, Yongdong, et al.. (2008). Bacteriorhodopsin as an electronic conduction medium for biomolecular electronics. Chemical Society Reviews. 37(11). 2422–2422. 82 indexed citations
7.
Friedman, Noga, et al.. (2007). Photochemical dynamics of all-trans retinal protonated Schiff-base in solution: Excitation wavelength dependence. Chemical Physics. 341(1-3). 267–275. 29 indexed citations
8.
Kahan, Anat, et al.. (2006). Following Photoinduced Dynamics in Bacteriorhodopsin with 7-fs Impulsive Vibrational Spectroscopy. Journal of the American Chemical Society. 129(3). 537–546. 88 indexed citations
9.
Frish, Limor, Noga Friedman, Mordechai Sheves, & Yoram Cohen. (2004). The interaction of water molecules with purple membrane suspension using 2H double‐quantum filter, 1H and 2H diffusion nuclear magnetic resonance. Biopolymers. 75(1). 46–59. 5 indexed citations
10.
Li, Qun, et al.. (2000). On the Protein Residues that Control the Yield and Kinetics of O630 in the Photocycle of Bacteriorhodopsin. Biophysical Journal. 78(1). 354–362. 18 indexed citations
11.
13.
Druckmann, S., Michael Ottolenghi, Itay Rousso, Noga Friedman, & Mordechai Sheves. (1995). Time-Resolved Titrations of the Schiff Base and of the Asp85 Residue in Artificial Bacteriorhodopsins. Biochemistry. 34(37). 12066–12074. 12 indexed citations
14.
Rousso, Itay, Noga Friedman, Mordechai Sheves, & Michael Ottolenghi. (1995). pKa of the Protonated Schiff Base and Aspartic 85 in the Bacteriorhodopsin Binding Site Is Controlled by a Specific Geometry between the Two Residues. Biochemistry. 34(37). 12059–12065. 80 indexed citations
16.
Druckmann, S., Noga Friedman, Janos Κ. Lanyi, et al.. (1992). The back photoreaction of the M intermediate in the photocycle of bacteriorhodopsin: mechanism and evidence for two M species. Photochemistry and Photobiology. 56(6). 1041–1047. 50 indexed citations
17.
Friedman, Noga, Mordechai Sheves, & Michael Ottolenghi. (1991). Population of the triplet states of bacteriorhodopsin and of related model compounds by intramolecular energy transfer. Biochemistry. 30(22). 5400–5406. 1 indexed citations
18.
Friedman, Noga, Michael Ottolenghi, Mordechai Sheves, et al.. (1989). Photolysis intermediates of the artificial visual pigment cis-5,6-dihydro-isorhodopsin. Biophysical Journal. 55(2). 233–241. 38 indexed citations
19.
Friedman, Noga, et al.. (1989). Factors affecting the absorption maxima of acidic forms of bacteriorhodopsin. A study with artificial pigments. Biophysical Journal. 56(6). 1259–1265. 13 indexed citations
20.
Lawson, D.E.M., Noga Friedman, Mordechai Sheves, & Yehuda Mazur. (1977). Biological activity of 10‐hydroxy‐vitamin D3 implications for the steric structure of the active form of vitamin D. FEBS Letters. 80(1). 137–140. 5 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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