Peter Soba
Impact in
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- Neurobiology and Insect Physiology Research
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Axon Guidance and Neuronal Signaling
- Aging top 5%
Papers in
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- Neurobiology and Insect Physiology Research 21
- Photoreceptor and optogenetics research 7
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- Cellular transport and secretion 6
- Co-authors
- Konrad T. Beyreuther (8 shared papers)Yuh Nung Jan (5 shared papers)Simone Eggert (4 shared papers)Lily Yeh Jan (4 shared papers)Sijun Zhu (3 shared papers)Colin Louis Masters (2 shared papers)Gunter Merdes (5 shared papers)Alexander Loewer (4 shared papers)
- Journals
- Neuron (4 papers)Nature Communications (4 papers)Cell Reports (3 papers)The EMBO Journal (3 papers)eLife (2 papers)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Peter Soba
42 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 105
- Cellular and Molecular Neuroscience 959
- Aging 89
- Developmental Neuroscience 111
- Physiology 584
- Cell Biology 330
Countries citing papers authored by Peter Soba
This map shows the geographic impact of Peter Soba'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 Peter Soba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Soba more than expected).
Fields of papers citing papers by Peter Soba
This network shows the impact of papers produced by Peter Soba. 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 Peter Soba. The network helps show where Peter Soba may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Soba, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 245 | |
| 2 | 2007 | 209 | |
| 3 | 2004 | 182 | |
| 4 | 2012 | 131 | |
| 5 | 2021 | 98 | |
| 6 | 2021 | 84 | |
| 7 | 2006 | 76 | |
| 8 | 2017 | 76 | |
| 9 | 2004 | 69 | |
| 10 | 2019 | 69 | |
| 11 | 2017 | 53 | |
| 12 | 2003 | 44 | |
| 13 | 2021 | 41 | |
| 14 | 2014 | 40 | |
| 15 | 2015 | 38 | |
| 16 | 2016 | 38 | |
| 17 | 2014 | 36 | |
| 18 | 2017 | 36 | |
| 19 | 2007 | 35 | |
| 20 | 2006 | 33 |
About Peter Soba
Peter Soba is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Physiology, Genetics and Molecular Biology, having authored 43 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (21 papers), Alzheimer's disease research and treatments (7 papers), Photoreceptor and optogenetics research (7 papers), Retinal Development and Disorders (6 papers), Insect and Arachnid Ecology and Behavior (6 papers), Cellular transport and secretion (6 papers), Animal Behavior and Reproduction (5 papers) and RNA regulation and disease (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (959 citations), Aging (89 citations), Developmental Neuroscience (111 citations), Physiology (584 citations) and Cell Biology (330 citations). Peter Soba has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Konrad T. Beyreuther, Yuh Nung Jan, Simone Eggert, Lily Yeh Jan, Sijun Zhu, Colin Louis Masters, Gunter Merdes, Alexander Loewer, Renato Paro and Federico Marcello Tenedini. Their work appears in journals such as Neuron, Nature Communications, Cell Reports, The EMBO Journal and eLife.
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.