Sami Damak

4.4k total citations
34 papers, 3.5k citations indexed

About

Sami Damak is a scholar working on Nutrition and Dietetics, Sensory Systems and Molecular Biology. According to data from OpenAlex, Sami Damak has authored 34 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Nutrition and Dietetics, 19 papers in Sensory Systems and 11 papers in Molecular Biology. Recurrent topics in Sami Damak's work include Biochemical Analysis and Sensing Techniques (20 papers), Olfactory and Sensory Function Studies (19 papers) and Advanced Chemical Sensor Technologies (10 papers). Sami Damak is often cited by papers focused on Biochemical Analysis and Sensing Techniques (20 papers), Olfactory and Sensory Function Studies (19 papers) and Advanced Chemical Sensor Technologies (10 papers). Sami Damak collaborates with scholars based in United States, Switzerland and New Zealand. Sami Damak's co-authors include Robert F. Margolskee, Johannes le Coutre, Yuzo Ninomiya, Keiko Yasumatsu, Claudine Bezençon, Minqing Rong, Zaza Kokrashvili, Timothy A. Gilbertson, Noriatsu Shigemura and Ryusuke Yoshida and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Sami Damak

34 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sami Damak United States 24 2.6k 2.1k 1.2k 689 583 34 3.5k
Liquan Huang China 31 2.5k 1.0× 2.3k 1.1× 1.5k 1.2× 860 1.2× 353 0.6× 102 3.9k
Noriatsu Shigemura Japan 29 2.5k 1.0× 2.1k 1.0× 1.0k 0.9× 520 0.8× 873 1.5× 74 3.3k
Keiko Yasumatsu Japan 28 2.8k 1.1× 2.5k 1.2× 1.4k 1.2× 463 0.7× 679 1.2× 52 3.4k
Zaza Kokrashvili United States 12 2.4k 0.9× 1.6k 0.8× 794 0.6× 421 0.6× 1.0k 1.8× 13 2.9k
Elliot Adler United States 9 3.8k 1.5× 3.1k 1.5× 2.1k 1.7× 892 1.3× 425 0.7× 9 4.3k
Ryusuke Yoshida Japan 29 2.3k 0.9× 1.9k 0.9× 1.2k 1.0× 351 0.5× 578 1.0× 69 2.8k
Bernd Bufe Germany 23 3.1k 1.2× 2.7k 1.3× 1.8k 1.5× 921 1.3× 201 0.3× 37 3.9k
Steven D. Munger United States 28 1.9k 0.7× 1.9k 0.9× 729 0.6× 477 0.7× 497 0.9× 52 2.9k
Jean‐Pierre Montmayeur France 21 1.5k 0.6× 1.2k 0.6× 739 0.6× 790 1.1× 336 0.6× 45 2.7k
Yuko Kusakabe Japan 27 1.4k 0.5× 1.1k 0.5× 665 0.5× 677 1.0× 236 0.4× 55 2.0k

Countries citing papers authored by Sami Damak

Since Specialization
Citations

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

Fields of papers citing papers by Sami Damak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sami Damak

This figure shows the co-authorship network connecting the top 25 collaborators of Sami Damak. A scholar is included among the top collaborators of Sami Damak 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 Sami Damak. Sami Damak 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.
Schilperoort, Maaike, Andrea D. van Dam, Geerte Hoeke, et al.. (2018). The GPR 120 agonist TUG ‐891 promotes metabolic health by stimulating mitochondrial respiration in brown fat. EMBO Molecular Medicine. 10(3). 78 indexed citations
2.
Cettour-Rose, Philippe, et al.. (2013). Quinine controls body weight gain without affecting food intake in male C57BL6 mice. BMC Physiology. 13(1). 5–5. 14 indexed citations
3.
Godinot, Nicolas, Keiko Yasumatsu, Nicolas Pineau, et al.. (2013). Activation of tongue-expressed GPR40 and GPR120 by non caloric agonists is not sufficient to drive preference in mice. Neuroscience. 250. 20–30. 35 indexed citations
4.
Stellingwerff, Trent, Jean‐Philippe Godin, Maurice Beaumont, et al.. (2013). Effects of Pre-Exercise Sucralose Ingestion on Carbohydrate Oxidation During Exercise. International Journal of Sport Nutrition and Exercise Metabolism. 23(6). 584–592. 11 indexed citations
5.
Riera, Céline E., Horst Vogel, Sidney A. Simon, Sami Damak, & Johannes le Coutre. (2009). Sensory Attributes of Complex Tasting Divalent Salts Are Mediated by TRPM5 and TRPV1 Channels. Journal of Neuroscience. 29(8). 2654–2662. 47 indexed citations
6.
Bezençon, Claudine, Andreas Fürholz, Frédéric Raymond, et al.. (2008). Murine intestinal cells expressing Trpm5 are mostly brush cells and express markers of neuronal and inflammatory cells. The Journal of Comparative Neurology. 509(5). 514–525. 190 indexed citations
7.
Damak, Sami, B Mosinger, & Robert F. Margolskee. (2008). Transsynaptic transport of wheat germ agglutinin expressed in a subset of type II taste cells of transgenic mice. BMC Neuroscience. 9(1). 96–96. 50 indexed citations
8.
Riera, Céline E., Horst Vogel, Sidney A. Simon, Sami Damak, & Johannes le Coutre. (2008). The capsaicin receptor participates in artificial sweetener aversion. Biochemical and Biophysical Research Communications. 376(4). 653–657. 25 indexed citations
9.
Clapp, Tod R., Kathryn F. Medler, Sami Damak, Robert F. Margolskee, & Sue C. Kinnamon. (2006). Mouse taste cells with G protein-coupled taste receptors lack voltage-gated calcium channels and SNAP-25. BMC Biology. 4(1). 7–7. 203 indexed citations
10.
Damak, Sami, Minqing Rong, Keiko Yasumatsu, et al.. (2006). Trpm5 Null Mice Respond to Bitter, Sweet, and Umami Compounds. Chemical Senses. 31(3). 253–264. 256 indexed citations
11.
12.
Glendinning, John I., et al.. (2005). Contribution of α-Gustducin to Taste-guided Licking Responses of Mice. Chemical Senses. 30(4). 299–316. 81 indexed citations
13.
He, Wei, Keiko Yasumatsu, Ayako Yamada, et al.. (2004). UmamiTaste Responses Are Mediated by α-Transducin and α-Gustducin. Journal of Neuroscience. 24(35). 7674–7680. 126 indexed citations
14.
Damak, Sami, Minqing Rong, Keiko Yasumatsu, et al.. (2003). Detection of Sweet and Umami Taste in the Absence of Taste Receptor T1r3. Science. 301(5634). 850–853. 493 indexed citations
15.
Max, Marianna, Y. Gopi Shanker, Liquan Huang, et al.. (2001). Tas1r3, encoding a new candidate taste receptor, is allelic to the sweet responsiveness locus Sac. Nature Genetics. 28(1). 58–63. 398 indexed citations
16.
Oswald, M.J., et al.. (1999). Splicing Variants in Sheep CLN3, the Gene Underlying Juvenile Neuronal Ceroid Lipofuscinosis. Molecular Genetics and Metabolism. 67(2). 169–175. 5 indexed citations
17.
Su, Hui, et al.. (1998). Wool production in transgenic sheep: Results from first‐generation adults and second‐generation lambs. Animal Biotechnology. 9(2). 135–147. 11 indexed citations
18.
Bissinger, Peter H., et al.. (1994). Chromosomal position effects and the modulation of transgene expression. Reproduction Fertility and Development. 6(5). 589–598. 94 indexed citations
19.
Damak, Sami & David W. Bullock. (1993). A simple two-step method for efficient blunt-end ligation of DNA fragments.. PubMed. 15(3). 448–50, 452. 10 indexed citations
20.
DeMayo, Francesco J., Sami Damak, Thomas N. Hansen, & David W. Bullock. (1991). Expression and Regulation of the Rabbit Uteroglobin Gene in Transgenic Mice. Molecular Endocrinology. 5(3). 311–318. 28 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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