Michael Rebhan

5.7k total citations · 3 hit papers
21 papers, 3.8k citations indexed

About

Michael Rebhan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Michael Rebhan has authored 21 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Physiology. Recurrent topics in Michael Rebhan's work include Protein Structure and Dynamics (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Michael Rebhan is often cited by papers focused on Protein Structure and Dynamics (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Michael Rebhan collaborates with scholars based in Germany, Switzerland and United States. Michael Rebhan's co-authors include Dirk Schübeler, Michaël Weber, Michael Stadler, Ines Hellmann, Svante Pääbo, Liliana Ramos, Jaime Prilusky, Vered Chalifa‐Caspi, Doron Lancet and Jens Richter and has published in prestigious journals such as Nature Genetics, Journal of Neuroscience and Molecular Cell.

In The Last Decade

Michael Rebhan

21 papers receiving 3.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Distribution, silencing potential and evolutionary impact of promoter DNA methylation in the human genome

2007 1.6k citations Michaël Weber, Ines Hellmann et al. Nature Genetics profile →
Lineage-Specific Polycomb Targets and De Novo DNA Methylation Define Restriction and Potential of Neuronal Progenitors

2008 694 citations Fabio Mohn, Michaël Weber et al. Molecular Cell profile →
GeneCards: integrating information about genes, proteins and diseases

1997 545 citations Michael Rebhan Trends in Genetics profile →

Peers

Countries citing papers authored by Michael Rebhan

Since Specialization

Citations

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

Fields of papers citing papers by Michael Rebhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Rebhan

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Synaptic Mechanisms Underlying Temporally Precise Information Processing in the VNLL, an Auditory Brainstem Nucleus 2022 ·Journal of Neuroscience ·(unknown), (unknown), (unknown), Michael Rebhan, Christian Leibold, Felix Felmy	3
2	A phenomenological spiking model for octopus cells in the posterior–ventral cochlear nucleus 2021 ·Biological Cybernetics ·Michael Rebhan, Christian Leibold	4
3	Analyzing Patient Trajectories With Artificial Intelligence 2021 ·Journal of Medical Internet Research ·Ahmed Allam, Stefan Feuerriegel, Michael Rebhan, Michael Krauthammer	30
4	Traditional and Digital Biomarkers: Two Worlds Apart? 2019 ·PubMed ·Lmar Babrak, Joseph P. Menetski, Michael Rebhan, Giovanni Nisato, (unknown), Noé Brasier, Katja Baerenfaller, (unknown), (unknown), Christian Vogler, Leo Gschwind, Cornelia Schneider, (unknown), Peter Groenen, Enkelejda Miho	97
5	From hype to reality: data science enabling personalized medicine 2018 ·BMC Medicine ·Holger Fröhlich, Rudi Balling, Niko Beerenwinkel, Oliver Kohlbacher, Santosh Kumar, Thomas Lengauer, Marloes H. Maathuis, Yves Moreau, Susan A. Murphy, Teresa M. Przytycka, Michael Rebhan, Hannes Röst, Andreas Schuppert, Matthias Schwab, Rainer Spang, Daniel J. Stekhoven, Jimeng Sun, Andreas Weber⋆, Daniel Ziemek, Blaž Zupan	261
6	Exploring Glucocorticoid Receptor Agonists Mechanism of Action Through Mass Cytometry and Radial Visualizations 2016 ·Cytometry Part B Clinical Cytometry ·Yann Abraham, Bertran Gerrits, Marie‐Gabrielle Ludwig, Michael Rebhan, Caroline Gubser Keller	9
7	Establishing a Successful Bioinformatics Core Facility Team 2009 ·PLoS Computational Biology ·F. Lewitter, Michael Rebhan	12
8	Protein Sequence Databases 2009 ·Methods in molecular biology ·Michael Rebhan	1
9	ProteinArchitect: Protein Evolution above the Sequence Level 2009 ·PLoS ONE ·Matthias Haimel, (unknown), Michael Rebhan	1
10	Lineage-Specific Polycomb Targets and De Novo DNA Methylation Define Restriction and Potential of Neuronal Progenitors breakdown → 2008 ·Molecular Cell ·Fabio Mohn, Michaël Weber, Michael Rebhan, Tim Roloff, Jens Richter, Michael Stadler, Miriam Bibel, Dirk Schübeler	694
11	Distribution, silencing potential and evolutionary impact of promoter DNA methylation in the human genome breakdown → 2007 ·Nature Genetics ·Michaël Weber, Ines Hellmann, Michael Stadler, Liliana Ramos, Svante Pääbo, Michael Rebhan, Dirk Schübeler	1633
12	GABAagent: a system for integrating data on GABA receptors 2000 ·Bioinformatics ·Abderrezak Rachedi, Michael Rebhan, Hong Xue	2
13	GeneCards: a novel functional genomics compendium with automated data mining and query reformulation support. 1998 ·Bioinformatics ·Michael Rebhan, Vered Chalifa‐Caspi, Jaime Prilusky, Doron Lancet	351
14	Rapid access to biomedical knowledge with GeneCards and HotMolecBase: Implications for the electrophoretic analysis of large sets of gene products 1997 ·Electrophoresis ·Michael Rebhan, Jaime Prilusky	8
15	GeneCards: integrating information about genes, proteins and diseases breakdown → 1997 ·Trends in Genetics ·Michael Rebhan	545
16	Complementary distribution of tau proteins in different phosphorylation states within growing axons 1995 ·Neuroreport ·Michael Rebhan, Gabriele Vacun, Harald Rösner	19
17	Developmental expression of tau proteins in the chicken and rat brain: Rapid down‐regulation of a paired helical filament epitope in the rat cerebral cortex coincides with the transition from immature to adult tau isoforms 1995 ·International Journal of Developmental Neuroscience ·Harald Rösner, Michael Rebhan, Gabriele Vacun, Eugeen Vanmechelen	22
18	Muscarinic receptor-mediated induction of actin-driven lamellar protrusions in neuroblastoma cell somata and growth cones. Involvement of protein kinase C. 1995 ·PubMed ·Harald Rösner, Gabriele Vacun, Michael Rebhan	19
19	Expression of a paired helical filament tau epitope in embryonic chicken central nervous system 1994 ·Neuroreport ·Harald Rösner, Michael Rebhan, (unknown), Eugeen Vanmechelen	7
20	Altered ganglioside expression by SH-SY5Y cells upon retinoic acid-induced neuronal differentiation 1994 ·Neuroreport ·Michael Rebhan, Gabriele Vacun, Klaus Bayreuther, Harald Rösner	29

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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