Daniel B. Chonde

2.4k total citations · 1 hit paper
33 papers, 1.7k citations indexed

About

Daniel B. Chonde is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Daniel B. Chonde has authored 33 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Cognitive Neuroscience and 6 papers in Neurology. Recurrent topics in Daniel B. Chonde's work include Medical Imaging Techniques and Applications (14 papers), Advanced MRI Techniques and Applications (14 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Daniel B. Chonde is often cited by papers focused on Medical Imaging Techniques and Applications (14 papers), Advanced MRI Techniques and Applications (14 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Daniel B. Chonde collaborates with scholars based in United States, Germany and Denmark. Daniel B. Chonde's co-authors include Ciprian Catana, David Izquierdo‐Garcia, Jacob M. Hooker, Bruce R. Rosen, Nicole R. Zürcher, Marco L. Loggia, Oluwaseun Akeju, Grae Arabasz, Kevin T. Chen and Vitaly Napadow and has published in prestigious journals such as Journal of the American Chemical Society, NeuroImage and Brain.

In The Last Decade

Daniel B. Chonde

31 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Evidence for brain glial activation in chronic pain patients

2015 380 citations Marco L. Loggia, Daniel B. Chonde et al. Brain profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel B. Chonde United States	19	607	395	329	295	273	33	1.7k
Eva‐Maria Ratai United States	23	425 0.7×	238 0.6×	307 0.9×	240 0.8×	184 0.7×	68	1.7k
Arístides A. Capizzano United States	24	581 1.0×	283 0.7×	278 0.8×	404 1.4×	144 0.5×	68	1.6k
Wolf-Dieter Heiss Germany	19	668 1.1×	133 0.3×	395 1.2×	416 1.4×	236 0.9×	24	1.7k
Timo Kurki Finland	27	629 1.0×	188 0.5×	341 1.0×	665 2.3×	168 0.6×	74	2.5k
Luca Presotto Italy	23	668 1.1×	362 0.9×	285 0.9×	352 1.2×	205 0.8×	62	1.5k
Jarkko Johansson Finland	26	443 0.7×	291 0.7×	622 1.9×	396 1.3×	258 0.9×	92	2.1k
Jeroen Verhaeghe Belgium	25	740 1.2×	225 0.6×	272 0.8×	140 0.5×	196 0.7×	111	1.9k
David K. Powell United States	23	406 0.7×	326 0.8×	542 1.6×	184 0.6×	198 0.7×	68	1.9k
Reina W. Kloet Netherlands	22	779 1.3×	363 0.9×	179 0.5×	140 0.5×	503 1.8×	44	2.0k
Ingeborg Goethals Belgium	28	890 1.5×	109 0.3×	446 1.4×	215 0.7×	331 1.2×	133	2.5k

Countries citing papers authored by Daniel B. Chonde

Since Specialization

Citations

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

Fields of papers citing papers by Daniel B. Chonde

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel B. Chonde. 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 B. Chonde. The network helps show where Daniel B. Chonde may publish in the future.

Co-authorship network of co-authors of Daniel B. Chonde

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Slanetz, Priscilla J., Anand K. Narayan, Lucy B. Spalluto, et al.. (2025). The Role of Radiology in Community Engagement. Radiographics. 45(8). e240185–e240185.

Longo, Maria Gabriela Figueiró, P. Vuylsteke, Can Ozan Tan, et al.. (2022). “All-in-one” window/level whole-body computed tomography scan – A faster way to evaluate trauma cases. The American Journal of Emergency Medicine. 62. 62–68.

Slanetz, Priscilla J., et al.. (2021). A Lofty Goal—Fostering Inclusion in Radiology by Eliminating Microaggressions. Journal of the American College of Radiology. 18(10). 1463–1465. 1 indexed citations

Chonde, Daniel B., Ali Pourvaziri, Jennifer McGowan, et al.. (2021). RadTranslate: An Artificial Intelligence–Powered Intervention for Urgent Imaging to Enhance Care Equity for Patients With Limited English Proficiency During the COVID-19 Pandemic. Journal of the American College of Radiology. 18(7). 1000–1008. 29 indexed citations

Zürcher, Nicole R., Marco L. Loggia, Jennifer Mullett, et al.. (2020). [11C]PBR28 MR–PET imaging reveals lower regional brain expression of translocator protein (TSPO) in young adult males with autism spectrum disorder. Molecular Psychiatry. 26(5). 1659–1669. 47 indexed citations

Linnman, Clas, Ciprian Catana, Daniel B. Chonde, et al.. (2017). Molecular and functional PET-fMRI measures of placebo analgesia in episodic migraine: Preliminary findings. NeuroImage Clinical. 17. 680–690. 16 indexed citations

Paganoni, Sabrina, Mohamad J. Alshikho, Nicole R. Zürcher, et al.. (2017). Imaging of glia activation in people with primary lateral sclerosis. NeuroImage Clinical. 17. 347–353. 26 indexed citations

Alshikho, Mohamad J., Nicole R. Zürcher, Marco L. Loggia, et al.. (2017). Integrated [11C]-PBR28 MR-PET imaging in Amyotrophic Lateral Sclerosis (P3.139). Neurology. 88(16_supplement). 1 indexed citations

Roffman, Joshua L., Alexandra Tanner, Hamdi Eryilmaz, et al.. (2016). Dopamine D ₁ signaling organizes network dynamics underlying working memory. Science Advances. 2(6). e1501672–e1501672. 49 indexed citations

10.

Chen, Kevin T., et al.. (2016). On the accuracy and reproducibility of a novel probabilistic atlas-based generation for calculation of head attenuation maps on integrated PET/MR scanners. European Journal of Nuclear Medicine and Molecular Imaging. 44(3). 398–407. 14 indexed citations

11.

Zürcher, Nicole R., Marco L. Loggia, Robert Lawson, et al.. (2015). Increased in vivo glial activation in patients with amyotrophic lateral sclerosis: Assessed with [11C]-PBR28. NeuroImage Clinical. 7. 409–414. 175 indexed citations

12.

Loggia, Marco L., Daniel B. Chonde, Oluwaseun Akeju, et al.. (2015). Evidence for brain glial activation in chronic pain patients. Brain. 138(3). 604–615. 380 indexed citations breakdown →

13.

Izquierdo‐Garcia, David, Kevin T. Chen, Adam E. Hansen, et al.. (2014). New SPM8-based MRAC method for simultaneous PET/MR brain images: comparison with state-of-the-art non-rigid registration methods. EJNMMI Physics. 1(S1). A29–A29. 3 indexed citations

14.

Villien, Marjorie, Hsiao‐Ying Wey, Joseph B. Mandeville, et al.. (2014). Dynamic functional imaging of brain glucose utilization using fPET-FDG. NeuroImage. 100. 192–199. 105 indexed citations

15.

Izquierdo‐Garcia, David, Adam E. Hansen, Stefan Förster, et al.. (2014). An SPM8-Based Approach for Attenuation Correction Combining Segmentation and Nonrigid Template Formation: Application to Simultaneous PET/MR Brain Imaging. Journal of Nuclear Medicine. 55(11). 1825–1830. 163 indexed citations

16.

Chonde, Daniel B., David Izquierdo‐Garcia, Kevin C. Chen, S Bowen, & Ciprian Catana. (2014). Masamune: a tool for automatic dynamic PET data processing, image reconstruction and integrated PET/MRI data analysis. EJNMMI Physics. 1(S1). A57–A57. 2 indexed citations

17.

Wey, Hsiao‐Ying, Ciprian Catana, Jacob M. Hooker, et al.. (2014). Simultaneous fMRI–PET of the opioidergic pain system in human brain. NeuroImage. 102. 275–282. 47 indexed citations

18.

Catana, Ciprian, Daniel B. Chonde, Kevin T. Chen, et al.. (2014). Combined MR-assisted motion and partial volume effects corrections – impact on PET data quantification. EJNMMI Physics. 1(S1). A38–A38. 1 indexed citations

19.

Bowen, S, L. Byars, Christian Michel, Daniel B. Chonde, & Ciprian Catana. (2013). Influence of the partial volume correction method on¹⁸F-fluorodeoxyglucose brain kinetic modelling from dynamic PET images reconstructed with resolution model based OSEM. Physics in Medicine and Biology. 58(20). 7081–7106. 22 indexed citations

20.

Catana, Ciprian, Thomas Benner, André van der Kouwe, et al.. (2010). MRI-Assisted PET Motion Correction for Neurologic Studies in an Integrated MR-PET Scanner. Journal of Nuclear Medicine. 52(1). 154–161. 129 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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