Chad J. Donahue

1.5k total citations
7 papers, 789 citations indexed

About

Chad J. Donahue is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Chad J. Donahue has authored 7 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Cognitive Neuroscience and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in Chad J. Donahue's work include Functional Brain Connectivity Studies (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Neural dynamics and brain function (3 papers). Chad J. Donahue is often cited by papers focused on Functional Brain Connectivity Studies (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Neural dynamics and brain function (3 papers). Chad J. Donahue collaborates with scholars based in United States, France and Japan. Chad J. Donahue's co-authors include Matthew F. Glasser, David C. Van Essen, Timothy S. Coalson, Henry Kennedy, Todd M. Preuss, James K. Rilling, Kenneth Knoblauch, Tim B. Dyrby, Moisés Hernández-Fernández and Saâd Jbabdi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and NeuroImage.

In The Last Decade

Chad J. Donahue

7 papers receiving 785 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chad J. Donahue United States	6	488	405	107	88	72	7	789
Cirong Liu China	16	463 0.9×	242 0.6×	97 0.9×	73 0.8×	54 0.8×	34	698
Adam Messinger United States	11	798 1.6×	268 0.7×	151 1.4×	60 0.7×	41 0.6×	15	997
Elisabeth Jonckers Belgium	15	444 0.9×	302 0.7×	236 2.2×	62 0.7×	26 0.4×	27	756
Suresh E. Joel United States	8	545 1.1×	225 0.6×	151 1.4×	65 0.7×	26 0.4×	8	729
Longchuan Li United States	23	859 1.8×	710 1.8×	76 0.7×	117 1.3×	202 2.8×	42	1.4k
Yuji Komaki Japan	17	300 0.6×	318 0.8×	199 1.9×	119 1.4×	47 0.7×	45	820
Jose O. Maximo United States	17	857 1.8×	212 0.5×	95 0.9×	55 0.6×	57 0.8×	32	995
Shir Hofstetter Netherlands	13	602 1.2×	376 0.9×	71 0.7×	24 0.3×	48 0.7×	22	907
Philip G. F. Browning United Kingdom	18	907 1.9×	163 0.4×	353 3.3×	62 0.7×	36 0.5×	24	1.2k

Countries citing papers authored by Chad J. Donahue

Since Specialization

Citations

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

Fields of papers citing papers by Chad J. Donahue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chad J. Donahue. 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 Chad J. Donahue. The network helps show where Chad J. Donahue may publish in the future.

Co-authorship network of co-authors of Chad J. Donahue

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

All Works

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7 of 7 papers shown

Essen, David C. Van, Chad J. Donahue, Timothy S. Coalson, et al.. (2019). Cerebral cortical folding, parcellation, and connectivity in humans, nonhuman primates, and mice. Proceedings of the National Academy of Sciences. 116(52). 26173–26180. 122 indexed citations

Donahue, Chad J., Matthew F. Glasser, Todd M. Preuss, James K. Rilling, & David C. Van Essen. (2018). Quantitative assessment of prefrontal cortex in humans relative to nonhuman primates. Proceedings of the National Academy of Sciences. 115(22). 167 indexed citations

Essen, David C. Van, Chad J. Donahue, & Matthew F. Glasser. (2018). Development and Evolution of Cerebral and Cerebellar Cortex. Brain Behavior and Evolution. 91(3). 158–169. 96 indexed citations

Donahue, Chad J., Stamatios N. Sotiropoulos, Saâd Jbabdi, et al.. (2016). Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the Monkey. Journal of Neuroscience. 36(25). 6758–6770. 250 indexed citations

Essen, David C. Van, Matthew F. Glasser, Jennifer Stine Elam, et al.. (2016). The Brain Analysis Library of Spatial maps and Atlases (BALSA) database. NeuroImage. 144(Pt B). 270–274. 49 indexed citations

Park, Ju Yeon, et al.. (2011). Low-Level Laser Light Therapy Improves Cognitive Deficits and Inhibits Microglial Activation after Controlled Cortical Impact in Mice. Journal of Neurotrauma. 29(2). 408–417. 104 indexed citations

Donahue, Chad J., et al.. (2010). Dynamic CT head phantom for perfusion and angiography studies. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7626. 76261Y–76261Y. 1 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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