Daniel J. Vanselow
Impact in
- Endocrine and Autonomic Systems top 10%
- Neuroscience of respiration and sleep
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
-
- Cell Image Analysis Techniques 7
-
- Single-cell and spatial transcriptomics 2
- Molecular Biology Techniques and Applications 2
- Co-authors
- Keith C. Cheng (14 shared papers)Yongsoo Kim (7 shared papers)Uree Chon (5 shared papers)Yuan-Ting Wu (5 shared papers)Darin P. Clark (4 shared papers)Jean E. Copper (5 shared papers)Steffy B. Manjila (3 shared papers)Damian B. van Rossum (4 shared papers)
- Journals
- Nature Communications (4 papers)eLife (3 papers)Journal of Visualized Experiments (2 papers)Computer Methods and Programs in Biomedicine (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Daniel J. Vanselow
15 papers receiving 477 citations
Peers
Comparison fields: 5 of 93
- Endocrine and Autonomic Systems 79
- Biophysics 66
- Pharmacy 28
- Social Psychology 121
- Behavioral Neuroscience 17
Countries citing papers authored by Daniel J. Vanselow
This map shows the geographic impact of Daniel J. Vanselow'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 J. Vanselow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Vanselow more than expected).
Fields of papers citing papers by Daniel J. Vanselow
This network shows the impact of papers produced by Daniel J. Vanselow. 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 J. Vanselow. The network helps show where Daniel J. Vanselow may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Vanselow, 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 | 2019 | 91 | |
| 2 | 2022 | 77 | |
| 3 | 2019 | 73 | |
| 4 | 2020 | 68 | |
| 5 | 2017 | 65 | |
| 6 | 2024 | 47 | |
| 7 | 2022 | 29 | |
| 8 | 2018 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2018 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2026 | 0 |
About Daniel J. Vanselow
Daniel J. Vanselow is a scholar working on Biophysics, Molecular Biology, Cellular and Molecular Neuroscience, Social Psychology and Endocrine and Autonomic Systems, having authored 17 papers that have together received 479 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (7 papers), Neuroendocrine regulation and behavior (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Single-cell and spatial transcriptomics (2 papers), Infant Health and Development (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (79 citations), Biophysics (66 citations), Pharmacy (28 citations), Social Psychology (121 citations) and Behavioral Neuroscience (17 citations). Daniel J. Vanselow has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Keith C. Cheng, Yongsoo Kim, Uree Chon, Yuan-Ting Wu, Darin P. Clark, Jean E. Copper, Steffy B. Manjila, Damian B. van Rossum, David Mandrell and Todd E. Anthony. Their work appears in journals such as Nature Communications, eLife, Journal of Visualized Experiments, Computer Methods and Programs in Biomedicine and Cell Reports.
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.