Daniel J. Vanselow

877 total citations
15 papers, 428 citations indexed

About

Daniel J. Vanselow is a scholar working on Biophysics, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel J. Vanselow has authored 15 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biophysics, 4 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel J. Vanselow's work include Cell Image Analysis Techniques (6 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Neuroendocrine regulation and behavior (2 papers). Daniel J. Vanselow is often cited by papers focused on Cell Image Analysis Techniques (6 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Neuroendocrine regulation and behavior (2 papers). Daniel J. Vanselow collaborates with scholars based in United States, Canada and United Kingdom. Daniel J. Vanselow's co-authors include Keith C. Cheng, Yongsoo Kim, Uree Chon, Yuan-Ting Wu, Damian B. van Rossum, Darin P. Clark, Jean E. Copper, Steffy B. Manjila, David Mandrell and Lynn R. Budgeon and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and The Science of The Total Environment.

In The Last Decade

Daniel J. Vanselow

14 papers receiving 426 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel J. Vanselow United States	8	112	101	83	73	64	15	428
Paul Evers Netherlands	9	134 1.2×	204 2.0×	46 0.6×	162 2.2×	23 0.4×	11	636
Rebecca A. Senft United States	11	39 0.3×	102 1.0×	32 0.4×	43 0.6×	82 1.3×	16	331
Sai Saroja Kolluru United States	9	43 0.4×	214 2.1×	73 0.9×	118 1.6×	25 0.4×	10	556
Samantha J. King United States	15	202 1.8×	198 2.0×	131 1.6×	23 0.3×	22 0.3×	19	745
Victoria X. Wang United States	6	56 0.5×	199 2.0×	34 0.4×	115 1.6×	181 2.8×	9	560
Jacqueline de Marchena United States	6	56 0.5×	332 3.3×	34 0.4×	122 1.7×	17 0.3×	6	629
Miwako Masugi-Tokita Japan	7	59 0.5×	170 1.7×	12 0.1×	99 1.4×	27 0.4×	10	460
Tracy Yamawaki United States	9	53 0.5×	292 2.9×	84 1.0×	111 1.5×	42 0.7×	15	651
Thuc Nghi Nguyen United States	12	92 0.8×	388 3.8×	209 2.5×	406 5.6×	69 1.1×	16	1.2k
Sarah F. Schmidt United States	7	53 0.5×	149 1.5×	145 1.7×	66 0.9×	13 0.2×	7	571

Countries citing papers authored by Daniel J. Vanselow

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel J. Vanselow

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Vanselow. A scholar is included among the top collaborators of Daniel J. Vanselow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel J. Vanselow. Daniel J. Vanselow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

1.

Pi, Hyun-Jae, Yuan-Ting Wu, Daniel J. Vanselow, et al.. (2025). epDevAtlas: mapping GABAergic cells and microglia in the early postnatal mouse brain. Nature Communications. 16(1). 9538–9538.

2.

Bennett, Hannah, Qingguang Zhang, Yuan-Ting Wu, et al.. (2024). Aging drives cerebrovascular network remodeling and functional changes in the mouse brain. Nature Communications. 15(1). 6398–6398. 32 indexed citations

3.

Vanselow, Daniel J., Alex Y. Lin, Jean E. Copper, et al.. (2024). A web-based histology atlas for the freshwater sentinel species Daphnia magna. The Science of The Total Environment. 958. 177930–177930. 1 indexed citations

4.

Vanselow, Daniel J., et al.. (2023). Sinogram domain angular upsampling of sparse-view micro-CT with dense residual hierarchical transformer and attention-weighted loss. Computer Methods and Programs in Biomedicine. 242. 107802–107802. 2 indexed citations

5.

Manjila, Steffy B., Yuan-Ting Wu, Daniel J. Vanselow, et al.. (2022). Whole-Brain Wiring Diagram of Oxytocin System in Adult Mice. Journal of Neuroscience. 42(25). 5021–5033. 67 indexed citations

6.

Wu, Yuan-Ting, Hannah Bennett, Uree Chon, et al.. (2022). Quantitative relationship between cerebrovascular network and neuronal cell types in mice. Cell Reports. 39(12). 110978–110978. 26 indexed citations

7.

Wu, Yuan-Ting, Hannah Bennett, Uree Chon, et al.. (2022). Quantitative Relationship Between Cerebrovascular Network and Neuronal Cell Types in Mice. SSRN Electronic Journal. 1 indexed citations

8.

Katz, Spencer R., Maksim A. Yakovlev, Daniel J. Vanselow, et al.. (2021). Whole-organism 3D quantitative characterization of zebrafish melanin by silver deposition micro-CT. eLife. 10. 6 indexed citations

9.

Vanselow, Daniel J., et al.. (2021). Zebrafish Histotomography Noise Removal In Projection And Reconstruction Domains. 140–144. 1 indexed citations

10.

Nolan, Zachary T., Uree Chon, Daniel J. Vanselow, et al.. (2020). Quantitative cellular-resolution map of the oxytocin receptor in postnatally developing mouse brains. Nature Communications. 11(1). 1885–1885. 65 indexed citations

11.

Chon, Uree, Daniel J. Vanselow, Keith C. Cheng, & Yongsoo Kim. (2019). Enhanced and unified anatomical labeling for a common mouse brain atlas. Nature Communications. 10(1). 5067–5067. 89 indexed citations

12.

Ding, Yifu, Daniel J. Vanselow, Maksim A. Yakovlev, et al.. (2019). Computational 3D histological phenotyping of whole zebrafish by X-ray histotomography. eLife. 8. 67 indexed citations

13.

Lin, Alex Y., Yifu Ding, Daniel J. Vanselow, et al.. (2018). Rigid Embedding of Fixed and Stained, Whole, Millimeter-Scale Specimens for Section-free 3D Histology by Micro-Computed Tomography. Journal of Visualized Experiments. 7 indexed citations

14.

Lin, Alex Y., Yifu Ding, Daniel J. Vanselow, et al.. (2018). Rigid Embedding of Fixed and Stained, Whole, Millimeter-Scale Specimens for Section-free 3D Histology by Micro-Computed Tomography. Journal of Visualized Experiments. 2 indexed citations

15.

Copper, Jean E., Lynn R. Budgeon, Damian B. van Rossum, et al.. (2017). Comparative analysis of fixation and embedding techniques for optimized histological preparation of zebrafish. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 208. 38–46. 62 indexed citations

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.

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