Jonathan M. Auerbach
Impact in
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms
- Molecular Biology top 5%
- Pluripotent Stem Cells Research
- Developmental Biology and Gene Regulation
Papers in
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- Pluripotent Stem Cells Research 8
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- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Ron D. G. McKay (3 shared papers)Sang‐Hun Lee (2 shared papers)Nadya L. Lumelsky (2 shared papers)Lorenz Studer (1 shared paper)Jong‐Hoon Kim (1 shared paper)Iván Velasco (1 shared paper)Denise K. Gavin (1 shared paper)Krys S. Bankiewicz (1 shared paper)
- Journals
- Stem Cells (2 papers)Journal of Neuroscience (2 papers)Nature Biotechnology (2 papers)The Lancet (1 paper)European Journal of Neuroscience (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Jonathan M. Auerbach
12 papers receiving 3k citations
Jonathan M. Auerbach's Hit Papers
Peers
Comparison fields: 5 of 91
- Developmental Neuroscience 678
- Molecular Biology 1.8k
- Neurology 392
- Genetics 201
- Cellular and Molecular Neuroscience 330
Countries citing papers authored by Jonathan M. Auerbach
This map shows the geographic impact of Jonathan M. 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 Jonathan M. Auerbach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan M. Auerbach more than expected).
Fields of papers citing papers by Jonathan M. Auerbach
This network shows the impact of papers produced by Jonathan M. 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 Jonathan M. Auerbach. The network helps show where Jonathan M. Auerbach may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan M. 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
| # | Work | ||
|---|---|---|---|
| 1 | Dopamine neurons derived from embryonic stem cells function in an animal model of Parkinson's disease Hit paper breakdown → | 2002 | 1335 |
| 2 | Efficient generation of midbrain and hindbrain neurons from mouse embryonic stem cells Hit paper breakdown → | 2000 | 1068 |
| 3 | 2006 | 127 | |
| 4 | 1997 | 112 | |
| 5 | 1998 | 94 | |
| 6 | 2007 | 93 | |
| 7 | 2007 | 88 | |
| 8 | 2000 | 85 | |
| 9 | 2005 | 62 | |
| 10 | 2007 | 51 | |
| 11 | 2006 | 37 | |
| 12 | 2006 | 25 |
About Jonathan M. Auerbach
Jonathan M. Auerbach is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Hematology and Physiology, having authored 12 papers that have together received 3.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), Neuroscience and Neuropharmacology Research (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Hematopoietic Stem Cell Transplantation (1 paper) and Biomedical Ethics and Regulation (1 paper). The work is most often cited by research in Developmental Neuroscience (678 citations), Molecular Biology (1.8k citations), Neurology (392 citations), Genetics (201 citations) and Cellular and Molecular Neuroscience (330 citations). Jonathan M. Auerbach has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Ron D. G. McKay, Sang‐Hun Lee, Nadya L. Lumelsky, Lorenz Studer, Jong‐Hoon Kim, Iván Velasco, Denise K. Gavin, Krys S. Bankiewicz, José A. Rodríguez‐Gómez and Rosario Sánchez‐Pernaute. Their work appears in journals such as Stem Cells, Journal of Neuroscience, Nature Biotechnology, The Lancet and European Journal of Neuroscience.
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.