Micha Hersch

2.8k total citations · 1 hit paper
25 papers, 1.4k citations indexed

About

Micha Hersch is a scholar working on Molecular Biology, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Micha Hersch has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Control and Systems Engineering and 8 papers in Biomedical Engineering. Recurrent topics in Micha Hersch's work include Robot Manipulation and Learning (9 papers), Motor Control and Adaptation (6 papers) and Robotic Locomotion and Control (6 papers). Micha Hersch is often cited by papers focused on Robot Manipulation and Learning (9 papers), Motor Control and Adaptation (6 papers) and Robotic Locomotion and Control (6 papers). Micha Hersch collaborates with scholars based in Switzerland, United States and France. Micha Hersch's co-authors include Aude Billard, Sven Bergmann, F. Guenter, Sylvain Calinon, Bradley P. Coe, Michael Duyzend, Niklas Krumm, J. Beckmann, Sébastien Jacquemont and Evan E. Eichler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The EMBO Journal.

In The Last Decade

Micha Hersch

25 papers receiving 1.4k citations

Hit Papers

A Higher Mutational Burden in Females Supports a “Female ... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Micha Hersch Switzerland 17 469 354 344 279 257 25 1.4k
Akihiro Matsumoto Japan 19 305 0.7× 148 0.4× 147 0.4× 17 0.1× 119 0.5× 93 1.5k
Pavan P Ramdya Switzerland 19 353 0.8× 24 0.1× 128 0.4× 32 0.1× 476 1.9× 30 1.6k
Johannes Kohl Germany 16 354 0.8× 58 0.2× 214 0.6× 20 0.1× 217 0.8× 32 1.6k
Amir Homayoun Jafari‬ Iran 17 78 0.2× 41 0.1× 307 0.9× 25 0.1× 158 0.6× 99 1.5k
Masaki Kawamata Japan 17 830 1.8× 80 0.2× 74 0.2× 21 0.1× 228 0.9× 50 2.1k
Toshio Inui Japan 24 112 0.2× 128 0.4× 1.2k 3.4× 7 0.0× 42 0.2× 109 1.9k
G. D. McCann United States 15 86 0.2× 48 0.1× 279 0.8× 60 0.2× 134 0.5× 34 906
Elizabeth L. Irving Canada 23 166 0.4× 142 0.4× 598 1.7× 15 0.1× 27 0.1× 132 2.1k
Russell H. Hill Sweden 27 519 1.1× 15 0.0× 481 1.4× 26 0.1× 55 0.2× 64 2.2k
Daniele Linaro Italy 14 526 1.1× 101 0.3× 480 1.4× 9 0.0× 66 0.3× 49 1.3k

Countries citing papers authored by Micha Hersch

Since Specialization
Citations

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

Fields of papers citing papers by Micha Hersch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Micha Hersch

This figure shows the co-authorship network connecting the top 25 collaborators of Micha Hersch. A scholar is included among the top collaborators of Micha Hersch 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 Micha Hersch. Micha Hersch 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.
Hersch, Micha, et al.. (2022). Estimating RNA dynamics using one time point for one sample in a single-pulse metabolic labeling experiment. BMC Bioinformatics. 23(1). 147–147. 2 indexed citations
2.
Amir-Zilberstein, Liat, Micha Hersch, Shahar Taiber, et al.. (2020). Mechanical forces drive ordered patterning of hair cells in the mammalian inner ear. Nature Communications. 11(1). 5137–5137. 40 indexed citations
3.
Solis, Gonzalo P., Micha Hersch, Alexey Koval, et al.. (2018). High capacity in G protein-coupled receptor signaling. Nature Communications. 9(1). 876–876. 40 indexed citations
4.
Shaya, O., Micha Hersch, Liat Amir-Zilberstein, et al.. (2017). Cell-Cell Contact Area Affects Notch Signaling and Notch-Dependent Patterning. Developmental Cell. 40(5). 505–511.e6. 125 indexed citations
5.
Hersch, Micha, et al.. (2015). Pom1 gradient buffering through intermolecular auto‐phosphorylation. Molecular Systems Biology. 11(7). 818–818. 16 indexed citations
6.
Hersch, Micha, Séverine Lorrain, Mieke de Wit, et al.. (2014). Light intensity modulates the regulatory network of the shade avoidance response in Arabidopsis. Proceedings of the National Academy of Sciences. 111(17). 6515–6520. 115 indexed citations
7.
Jacquemont, Sébastien, Bradley P. Coe, Micha Hersch, et al.. (2014). A Higher Mutational Burden in Females Supports a “Female Protective Model” in Neurodevelopmental Disorders. The American Journal of Human Genetics. 94(3). 415–425. 375 indexed citations breakdown →
8.
Hachet, Olivier, Micha Hersch, Sergio A. Rincón, et al.. (2013). Distinct levels in Pom1 gradients limit Cdr2 activity and localization to time and position division. Cell Cycle. 13(4). 538–552. 41 indexed citations
9.
Kami, Chitose, Micha Hersch, Martine Trévisan, et al.. (2012). Nuclear Phytochrome A Signaling Promotes Phototropism in Arabidopsis. The Plant Cell. 24(2). 566–576. 47 indexed citations
10.
Demarsy, Emilie, Isabelle Schepens, Koji Okajima, et al.. (2012). Phytochrome Kinase Substrate 4 is phosphorylated by the phototropin 1 photoreceptor. The EMBO Journal. 31(16). 3457–3467. 77 indexed citations
11.
Hersch, Micha, Bastian Peter, Hyun Min Kang, et al.. (2012). Mapping Genetic Variants Associated with Beta-Adrenergic Responses in Inbred Mice. PLoS ONE. 7(7). e41032–e41032. 6 indexed citations
12.
Hersch, Micha. (2008). Adaptive sensorimotor peripersonal space representation and motor learning for a humanoid robot. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3 indexed citations
13.
Hersch, Micha, Eric L. Sauser, & Aude Billard. (2008). ONLINE LEARNING OF THE BODY SCHEMA. International Journal of Humanoid Robotics. 5(2). 161–181. 53 indexed citations
14.
Hersch, Micha & Aude Billard. (2008). Reaching with multi-referential dynamical systems. Autonomous Robots. 25(1-2). 71–83. 29 indexed citations
15.
Hersch, Micha, Thomas A. Reichert, & Aude Billard. (2008). ITERATIVE RIGID BODY TRANSFORMATION ESTIMATION FOR VISUAL 3-D OBJECT TRACKING. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 674–677. 2 indexed citations
16.
Hersch, Micha & Aude Billard. (2006). A Biologically-Inspired Model of Reaching Movements. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 11 indexed citations
17.
Hersch, Micha, F. Guenter, Sylvain Calinon, & Aude Billard. (2006). Learning Dynamical System Modulation for Constrained Reaching Tasks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 36. 444–449. 21 indexed citations
18.
Hersch, Micha & Aude Billard. (2006). A Biologically-Inspired Controller for Reaching Movements. 1067–1072. 14 indexed citations
19.
Hersch, Micha & Aude Billard. (2006). A model for imitating human reaching movements. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 341–342. 2 indexed citations
20.
Hersch, Micha, et al.. (1978). Sequential development of glycolytic competence in the muscles of worker honeybees. Comparative Biochemistry and Physiology Part B Comparative Biochemistry. 61(3). 427–431. 16 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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