Daniel R. Hochbaum
Impact in
-
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques
Papers in
- Aging 1
-
- Cell Image Analysis Techniques 2
- Co-authors
- Adam E. CohenAdam D. DouglassJoel M. KraljDougal MaclaurinBernardo L. SabatiniSiniša HrvatinMichael E. GreenbergM. Aurel Nagy
- Journals
- Nature Neuroscience (2 papers)Nature Methods (1 paper)Journal of the American Chemical Society (1 paper)Nature Communications (1 paper)Journal of Applied Physics (1 paper)
- Partner nations
- United StatesCanadaSingapore
In The Last Decade
Daniel R. Hochbaum
17 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 106
- Cellular and Molecular Neuroscience 842
- Biophysics 186
- Cognitive Neuroscience 397
- Neurology 127
- Developmental Neuroscience 55
Countries citing papers authored by Daniel R. Hochbaum
This map shows the geographic impact of Daniel R. Hochbaum'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 R. Hochbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Hochbaum more than expected).
Fields of papers citing papers by Daniel R. Hochbaum
This network shows the impact of papers produced by Daniel R. Hochbaum. 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 R. Hochbaum. The network helps show where Daniel R. Hochbaum may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel R. Hochbaum, 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 | 2024 | 8 | |
| 2 | 2022 | 4 | |
| 3 | 2021 | 33 | |
| 4 | 2020 | 67 | |
| 5 | 2019 | 100 | |
| 6 | 2017 | 322 | |
| 7 | 2017 | 140 | |
| 8 | 2017 | 6 | |
| 9 | 2016 | 22 | |
| 10 | 2014 | 152 | |
| 11 | 2014 | 29 | |
| 12 | 2014 | 1 | |
| 13 | 2013 | 3 | |
| 14 | 2011 | 280 | |
| 15 | 2011 | 342 | |
| 16 | 2011 | 51 | |
| 17 | 2010 | 1 |
About Daniel R. Hochbaum
Daniel R. Hochbaum is a scholar working on Aging, Biophysics, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Photoreceptor and optogenetics research (7 papers), Neuroscience and Neural Engineering (6 papers), Single-cell and spatial transcriptomics (2 papers), Cell Image Analysis Techniques (2 papers), Digital Imaging for Blood Diseases (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (842 citations), Biophysics (186 citations), Cognitive Neuroscience (397 citations), Neurology (127 citations) and Developmental Neuroscience (55 citations). Daniel R. Hochbaum has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Adam E. Cohen, Adam D. Douglass, Joel M. Kralj, Dougal Maclaurin, Bernardo L. Sabatini, Siniša Hrvatin, Michael E. Greenberg, M. Aurel Nagy, Keiramarie Robertson and Marcelo Cicconet. Their work appears in journals such as Nature Neuroscience, Nature Methods, Journal of the American Chemical Society, Nature Communications and Journal of Applied Physics.
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.