Taylor Bolt

951 total citations
22 papers, 550 citations indexed

About

Taylor Bolt is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Taylor Bolt has authored 22 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 8 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Artificial Intelligence. Recurrent topics in Taylor Bolt's work include Functional Brain Connectivity Studies (17 papers), Neural dynamics and brain function (9 papers) and Advanced MRI Techniques and Applications (7 papers). Taylor Bolt is often cited by papers focused on Functional Brain Connectivity Studies (17 papers), Neural dynamics and brain function (9 papers) and Advanced MRI Techniques and Applications (7 papers). Taylor Bolt collaborates with scholars based in United States, Canada and Singapore. Taylor Bolt's co-authors include Lucina Q. Uddin, Jason S. Nomi, Aaron S. Heller, B.T. Thomas Yeo, Danilo Bzdok, Mikail Rubinov, Catie Chang, R. Nathan Spreng, Shella Keilholz and Jingwei Li and has published in prestigious journals such as Journal of Neuroscience, Nature Neuroscience and NeuroImage.

In The Last Decade

Taylor Bolt

22 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Taylor Bolt United States	11	483	134	97	58	40	22	550
Dandan Li China	14	388 0.8×	146 1.1×	74 0.8×	94 1.6×	29 0.7×	56	512
Robert G. Lyday United States	11	383 0.8×	132 1.0×	102 1.1×	33 0.6×	20 0.5×	28	473
Dongmei Zhi China	14	480 1.0×	153 1.1×	160 1.6×	90 1.6×	24 0.6×	27	568
Nianming Zuo China	12	434 0.9×	233 1.7×	128 1.3×	69 1.2×	29 0.7×	31	601
Ryan V. Raut United States	10	606 1.3×	231 1.7×	81 0.8×	44 0.8×	40 1.0×	14	705
Wei-Ting Hsu United States	6	435 0.9×	108 0.8×	166 1.7×	58 1.0×	30 0.8×	7	504
Kirsten Hilger Germany	11	495 1.0×	136 1.0×	197 2.0×	50 0.9×	17 0.4×	24	624
Luke J. Hearne Australia	12	584 1.2×	177 1.3×	101 1.0×	47 0.8×	13 0.3×	21	668

Countries citing papers authored by Taylor Bolt

Since Specialization

Citations

This map shows the geographic impact of Taylor Bolt'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 Taylor Bolt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taylor Bolt more than expected).

Fields of papers citing papers by Taylor Bolt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taylor Bolt. 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 Taylor Bolt. The network helps show where Taylor Bolt may publish in the future.

Co-authorship network of co-authors of Taylor Bolt

This figure shows the co-authorship network connecting the top 25 collaborators of Taylor Bolt. A scholar is included among the top collaborators of Taylor Bolt 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 Taylor Bolt. Taylor Bolt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Bolt, Taylor & Lucina Q. Uddin. (2025). “The Brain is…”: A Survey of the Brain’s Many Definitions. Neuroinformatics. 23(1). 4–4. 1 indexed citations

Bolt, Taylor, Shiyu Wang, Jason S. Nomi, et al.. (2025). Autonomic physiological coupling of the global fMRI signal. Nature Neuroscience. 28(6). 1327–1335. 6 indexed citations

Nomi, Jason S., Danilo Bzdok, Jingwei Li, et al.. (2024). Systematic cross-sectional age-associations in global fMRI signal topography. Imaging Neuroscience. 2. 2 indexed citations

Gold, Benjamin P., Chong Zhao, Jacco A. de Zwart, et al.. (2024). Functional MRI signals exhibit stronger covariation with peripheral autonomic measures as vigilance decreases. Imaging Neuroscience. 2. 4 indexed citations

Bolt, Taylor, Xiaodi Zhang, Nan Xu, et al.. (2024). Variation in the distribution of large-scale spatiotemporal patterns of activity across brain states. Frontiers in Systems Neuroscience. 18. 1425491–1425491. 5 indexed citations

Goodman, Zachary T., et al.. (2023). Brain signal variability and executive functions across the life span. Network Neuroscience. 8(1). 226–240. 8 indexed citations

Bolt, Taylor, Jason S. Nomi, Danilo Bzdok, et al.. (2022). A parsimonious description of global functional brain organization in three spatiotemporal patterns. Nature Neuroscience. 25(8). 1093–1103. 84 indexed citations

Anderson, Steven R., et al.. (2021). Modeling neural and self-reported factors of affective distress in the relationship between pain and working memory in healthy individuals. Neuropsychologia. 153. 107766–107766. 1 indexed citations

Bolt, Taylor, Jason S. Nomi, Danilo Bzdok, & Lucina Q. Uddin. (2021). Educating the future generation of researchers: A cross-disciplinary survey of trends in analysis methods. PLoS Biology. 19(7). e3001313–e3001313. 7 indexed citations

10.

Xu, Lei, Taylor Bolt, Jason S. Nomi, et al.. (2020). Inter-subject phase synchronization differentiates neural networks underlying physical pain empathy. Social Cognitive and Affective Neuroscience. 15(2). 225–233. 16 indexed citations

11.

Bolt, Taylor, Jason S. Nomi, Shruti G. Vij, et al.. (2020). Ontological Dimensions of Cognitive-Neural Mappings. Neuroinformatics. 18(3). 451–463. 8 indexed citations

12.

Li, Jingwei, Taylor Bolt, Danilo Bzdok, et al.. (2019). Topography and behavioral relevance of the global signal in the human brain. Scientific Reports. 9(1). 14286–14286. 79 indexed citations

13.

Nomi, Jason S., et al.. (2018). Resting-State Brain Signal Variability in Prefrontal Cortex Is Associated With ADHD Symptom Severity in Children. Frontiers in Human Neuroscience. 12. 431–431. 40 indexed citations

14.

Bolt, Taylor, Jason S. Nomi, Shruti G. Vij, Catie Chang, & Lucina Q. Uddin. (2018). Inter-subject phase synchronization for exploratory analysis of task-fMRI. NeuroImage. 176. 477–488. 15 indexed citations

15.

Skagerlund, Kenny, Taylor Bolt, Jason S. Nomi, et al.. (2018). Disentangling Mathematics from Executive Functions by Investigating Unique Functional Connectivity Patterns Predictive of Mathematics Ability. Journal of Cognitive Neuroscience. 31(4). 560–573. 17 indexed citations

16.

Nomi, Jason S., et al.. (2017). Moment-to-Moment BOLD Signal Variability Reflects Regional Changes in Neural Flexibility across the Lifespan. Journal of Neuroscience. 37(22). 5539–5548. 112 indexed citations

17.

Bolt, Taylor, Jason S. Nomi, B.T. Thomas Yeo, & Lucina Q. Uddin. (2017). Data-Driven Extraction of a Nested Model of Human Brain Function. Journal of Neuroscience. 37(30). 7263–7277. 15 indexed citations

18.

Bolt, Taylor, Emily B. Prince, Jason S. Nomi, et al.. (2017). Combining region- and network-level brain-behavior relationships in a structural equation model. NeuroImage. 165. 158–169. 17 indexed citations

19.

Bolt, Taylor, Jason S. Nomi, Mikail Rubinov, & Lucina Q. Uddin. (2017). Correspondence between evoked and intrinsic functional brain network configurations. Human Brain Mapping. 38(4). 1992–2007. 74 indexed citations

20.

Bolt, Taylor, Paul J. Laurienti, Robert G. Lyday, Angela Morgan, & Dale Dagenbach. (2016). Graph-Theoretical Study of Functional Changes Associated with the Iowa Gambling Task. Frontiers in Human Neuroscience. 10. 314–314. 10 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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