Isabelle Schmutz

2.1k total citations
23 papers, 1.6k citations indexed

About

Isabelle Schmutz is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Isabelle Schmutz has authored 23 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrine and Autonomic Systems, 8 papers in Cellular and Molecular Neuroscience and 8 papers in Physiology. Recurrent topics in Isabelle Schmutz's work include Circadian rhythm and melatonin (13 papers), Photoreceptor and optogenetics research (5 papers) and Light effects on plants (4 papers). Isabelle Schmutz is often cited by papers focused on Circadian rhythm and melatonin (13 papers), Photoreceptor and optogenetics research (5 papers) and Light effects on plants (4 papers). Isabelle Schmutz collaborates with scholars based in Switzerland, Germany and United States. Isabelle Schmutz's co-authors include Urs Albrecht, Jürgen A. Ripperger, Titia de Lange, Gudrun Ahnert‐Hilger, Corinne Jud, Henrik Oster, Christian Blex, Thijs Houben, Irene Brunk and Stéphanie Perreau‐Lenz and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and PLoS ONE.

In The Last Decade

Isabelle Schmutz

22 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabelle Schmutz Switzerland 19 1.1k 606 357 340 305 23 1.6k
Marco Brancaccio United Kingdom 14 1.6k 1.4× 577 1.0× 712 2.0× 272 0.8× 524 1.7× 21 2.1k
Jennifer A. Evans United States 21 1.1k 1.0× 500 0.8× 441 1.2× 133 0.4× 277 0.9× 46 1.4k
Zdeňka Bendová Czechia 17 1.1k 1.0× 486 0.8× 345 1.0× 146 0.4× 240 0.8× 49 1.3k
Ouria Dkhissi‐Benyahya France 23 1.3k 1.2× 518 0.9× 691 1.9× 635 1.9× 325 1.1× 41 2.0k
Martin Sládek Czechia 26 1.8k 1.6× 937 1.5× 450 1.3× 177 0.5× 326 1.1× 61 2.1k
Kazumasa Horikawa Japan 19 1.2k 1.1× 502 0.8× 441 1.2× 162 0.5× 375 1.2× 32 1.5k
Sehyung Cho South Korea 20 859 0.8× 476 0.8× 305 0.9× 294 0.9× 166 0.5× 40 1.6k
Oscar Castañón‐Cervantes United States 18 1.3k 1.2× 579 1.0× 442 1.2× 155 0.5× 298 1.0× 27 1.6k
Jennifer A. Mohawk United States 12 2.2k 2.0× 990 1.6× 510 1.4× 324 1.0× 451 1.5× 17 2.6k
Oliver Rawashdeh Australia 18 897 0.8× 317 0.5× 332 0.9× 202 0.6× 400 1.3× 38 1.4k

Countries citing papers authored by Isabelle Schmutz

Since Specialization
Citations

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

Fields of papers citing papers by Isabelle Schmutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabelle Schmutz

This figure shows the co-authorship network connecting the top 25 collaborators of Isabelle Schmutz. A scholar is included among the top collaborators of Isabelle Schmutz 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 Isabelle Schmutz. Isabelle Schmutz 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.
Schmutz, Isabelle, Arjen R. Mensenkamp, Kaori Takai, et al.. (2020). TINF2 is a haploinsufficient tumor suppressor that limits telomere length. eLife. 9. 42 indexed citations
2.
Störk, Theresa, Jasmin Neßler, Isabelle Schmutz, et al.. (2019). TSEN54 missense variant in Standard Schnauzers with leukodystrophy. PLoS Genetics. 15(10). e1008411–e1008411. 10 indexed citations
3.
Schmutz, Isabelle, et al.. (2018). Exclusion of adrenoceptor alpha 2 variants in a horse insensitive to medetomidine. Animal Genetics. 49(2). 141–141. 1 indexed citations
4.
Schmutz, Isabelle, et al.. (2017). TRF2 binds branched DNA to safeguard telomere integrity. Nature Structural & Molecular Biology. 24(9). 734–742. 62 indexed citations
5.
Richter, Karin, et al.. (2017). VGLUT1 Binding to Endophilin or Intersectin1 and Dynamin Phosphorylation in a Diurnal Context. Neuroscience. 371. 29–37. 6 indexed citations
6.
Schmutz, Isabelle & Titia de Lange. (2016). Shelterin. Current Biology. 26(10). R397–R399. 53 indexed citations
7.
Schnell, Anna, Isabelle Schmutz, Emanuele Brai, et al.. (2014). The Nuclear Receptor REV-ERBα Regulates Fabp7 and Modulates Adult Hippocampal Neurogenesis. PLoS ONE. 9(6). e99883–e99883. 87 indexed citations
8.
Carvas, João Miguel, Ana Vukolic, Gautham Yepuri, et al.. (2012). Period2 gene mutant mice show compromised insulin-mediated endothelial nitric oxide release and altered glucose homeostasis. Frontiers in Physiology. 3. 337–337. 33 indexed citations
9.
Daan, Serge, Kamiel Spoelstra, Urs Albrecht, et al.. (2011). Lab Mice in the Field: Unorthodox Daily Activity and Effects of a Dysfunctional Circadian Clock Allele. Journal of Biological Rhythms. 26(2). 118–129. 109 indexed citations
10.
Schmutz, Isabelle, Urs Albrecht, & Jürgen A. Ripperger. (2011). The role of clock genes and rhythmicity in the liver. Molecular and Cellular Endocrinology. 349(1). 38–44. 48 indexed citations
11.
Schmutz, Isabelle, Sabrina Lyngbye Wendt, Anna Schnell, et al.. (2011). Protein Phosphatase 1 (PP1) Is a Post-Translational Regulator of the Mammalian Circadian Clock. PLoS ONE. 6(6). e21325–e21325. 35 indexed citations
12.
Maronde, Erik, Arndt F. Schilling, Sebastian Seitz, et al.. (2010). The Clock Genes Period 2 and Cryptochrome 2 Differentially Balance Bone Formation. PLoS ONE. 5(7). e11527–e11527. 95 indexed citations
13.
Schmutz, Isabelle, et al.. (2010). The mammalian clock component PERIOD2 coordinates circadian output by interaction with nuclear receptors. Genes & Development. 24(4). 345–357. 307 indexed citations
14.
Ripperger, Jürgen A., Isabelle Schmutz, & Urs Albrecht. (2010). PERsuading nuclear receptors to dance the circadian rhythm. Cell Cycle. 9(13). 2515–2521. 18 indexed citations
15.
Schmutz, Isabelle, et al.. (2010). LACK OF CALBINDIN-D28K ALTERS RESPONSE OF THE MURINE CIRCADIAN CLOCK TO LIGHT. Chronobiology International. 27(1). 68–82. 21 indexed citations
16.
Ripperger, Jürgen A., Thijs Houben, Isabelle Schmutz, et al.. (2008). Regulation of Monoamine Oxidase A by Circadian-Clock Components Implies Clock Influence on Mood. Current Biology. 18(9). 678–683. 319 indexed citations
17.
Darna, Mahesh, Isabelle Schmutz, Karin Richter, et al.. (2008). Time of Day-dependent Sorting of the Vesicular Glutamate Transporter to the Plasma Membrane. Journal of Biological Chemistry. 284(7). 4300–4307. 25 indexed citations
18.
Schwaller, Beat, Patricia Gregory, J.J. Barski, et al.. (2007). Differences in locomotor behavior revealed in mice deficient for the calcium-binding proteins parvalbumin, calbindin D-28k or both. Behavioural Brain Research. 178(2). 250–261. 41 indexed citations
19.
Albrecht, Urs, et al.. (2007). The Multiple Facets of Per2. Cold Spring Harbor Symposia on Quantitative Biology. 72(1). 95–104. 63 indexed citations
20.
Jud, Corinne, et al.. (2005). A guideline for analyzing circadian wheel-running behavior in rodents under different lighting conditions. Biological Procedures Online. 7(1). 101–116. 166 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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