Daniel Auerbach
Impact in
- Molecular Biology top 5%
- Muscle Physiology and Disorders
- Bioinformatics and Genomic Networks
- Fungal and yeast genetics research
- Ubiquitin and proteasome pathways
- Protein Structure and Dynamics
- Cell Biology top 5%
- Biotin and Related Studies
Papers in
-
- Fungal and yeast genetics research 14
- Bioinformatics and Genomic Networks 7
- Ubiquitin and proteasome pathways 4
- Muscle Physiology and Disorders 3
- RNA Research and Splicing 2
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- Biotin and Related Studies 6
- Co-authors
- Nicolas Lentze (6 shared papers)Uwe Schlattner (2 shared papers)Cécile Polge (2 shared papers)Igor Štagljar (9 shared papers)Jean‐Claude Perriard (6 shared papers)Elisabeth Ehler (5 shared papers)Evelyne R. Perriard (2 shared papers)Stephan Lange (2 shared papers)
- Journals
- BioTechniques (3 papers)Journal of Cell Science (2 papers)Journal of Biological Chemistry (2 papers)ACS Chemical Biology (1 paper)Nature Methods (1 paper)
- Partner nations
- SwitzerlandCanadaUnited States
In The Last Decade
Daniel Auerbach
30 papers receiving 2k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 1.3k
- Cell Biology 232
- Cardiology and Cardiovascular Medicine 324
- Spectroscopy 121
- Aging 9
Countries citing papers authored by Daniel Auerbach
This map shows the geographic impact of Daniel Auerbach'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 Daniel Auerbach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Auerbach more than expected).
Fields of papers citing papers by Daniel Auerbach
This network shows the impact of papers produced by Daniel Auerbach. 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 Daniel Auerbach. The network helps show where Daniel Auerbach may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Auerbach, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 426 | |
| 2 | 2002 | 222 | |
| 3 | 2000 | 173 | |
| 4 | 2010 | 123 | |
| 5 | 2002 | 110 | |
| 6 | 2004 | 87 | |
| 7 | 2005 | 78 | |
| 8 | 2000 | 75 | |
| 9 | 2012 | 73 | |
| 10 | 1999 | 69 | |
| 11 | 2007 | 67 | |
| 12 | 2004 | 65 | |
| 13 | 2013 | 64 | |
| 14 | 1996 | 62 | |
| 15 | 2017 | 61 | |
| 16 | 2006 | 60 | |
| 17 | 2009 | 39 | |
| 18 | 1997 | 35 | |
| 19 | 2009 | 33 | |
| 20 | 2008 | 28 |
About Daniel Auerbach
Daniel Auerbach is a scholar working on Molecular Biology, Cell Biology, Cardiology and Cardiovascular Medicine, Computational Theory and Mathematics and Biophysics, having authored 30 papers that have together received 2.1k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (14 papers), Bioinformatics and Genomic Networks (7 papers), Biotin and Related Studies (6 papers), Cardiomyopathy and Myosin Studies (4 papers), Ubiquitin and proteasome pathways (4 papers), Muscle Physiology and Disorders (3 papers), RNA Research and Splicing (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Cell Biology (232 citations), Cardiology and Cardiovascular Medicine (324 citations), Spectroscopy (121 citations) and Aging (9 citations). Daniel Auerbach has collaborated with scholars based in Switzerland, Canada and United States. Frequent co-authors include Nicolas Lentze, Uwe Schlattner, Cécile Polge, Igor Štagljar, Jean‐Claude Perriard, Elisabeth Ehler, Evelyne R. Perriard, Stephan Lange, Safia Thaminy and Michael O. Hottiger. Their work appears in journals such as BioTechniques, Journal of Cell Science, Journal of Biological Chemistry, ACS Chemical Biology and Nature Methods.
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.