Catherine D. Chong

3.0k total citations
71 papers, 2.1k citations indexed

About

Catherine D. Chong is a scholar working on Psychiatry and Mental health, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Catherine D. Chong has authored 71 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Psychiatry and Mental health, 19 papers in Pathology and Forensic Medicine and 19 papers in Neurology. Recurrent topics in Catherine D. Chong's work include Migraine and Headache Studies (56 papers), Functional Brain Connectivity Studies (19 papers) and Traumatic Brain Injury and Neurovascular Disturbances (18 papers). Catherine D. Chong is often cited by papers focused on Migraine and Headache Studies (56 papers), Functional Brain Connectivity Studies (19 papers) and Traumatic Brain Injury and Neurovascular Disturbances (18 papers). Catherine D. Chong collaborates with scholars based in United States, Denmark and South Korea. Catherine D. Chong's co-authors include Todd J. Schwedt, David W. Dodick, Gina Dumkrieger, Visar Berisha, Chia‐Chun Chiang, Katherine Ross, Teresa Wu, Jing Li, Nathan Gaw and Yinlin Fu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Catherine D. Chong

66 papers receiving 2.1k citations

Peers

Catherine D. Chong

PMH

PFM

NEURO

Pauline Maillard United States

Charlotte L. Allan United Kingdom

R.B. Lipton United States

Klaus Schmidtke Germany

Barbara Spanò Italy

Juhee Chin South Korea

Erik Hessen Norway

Tomáš Nikolai Czechia

Xiuqin Jia China

Mervin Blair Canada

Pauline Maillard United States

Catherine D. Chong

1.3k ×0.9

PMH

605 ×1.0

131 ×0.2

PFM

414 ×1.2

NEURO

707 ×2.2

NEURO

Citations per year, relative to Catherine D. Chong Catherine D. Chong (= 1×) peers Pauline Maillard

Countries citing papers authored by Catherine D. Chong

Since Specialization

Citations

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

Fields of papers citing papers by Catherine D. Chong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catherine D. Chong. 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 Catherine D. Chong. The network helps show where Catherine D. Chong may publish in the future.

Co-authorship network of co-authors of Catherine D. Chong

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine D. Chong. A scholar is included among the top collaborators of Catherine D. Chong 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 Catherine D. Chong. Catherine D. Chong 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

Sheth, Deepa, Md Mahfuzur Rahman Siddiquee, Catherine D. Chong, et al.. (2025). Leveraging multi-modal foundation model image encoders to enhance brain MRI-based headache classification. Scientific Reports. 15(1). 33256–33256.

Chong, Catherine D., et al.. (2025). DinoAtten3D: Slice-Level Attention Aggregation of DinoV2 for 3D Brain MRI Anomaly Classification. 3594–3603.

Dumkrieger, Gina, Katherine Ross, Matthew J. Huentelman, et al.. (2025). Longitudinal analysis of pain-induced brain activations in post-traumatic headache. Cephalalgia. 45(5). 2235390216–2235390216. 1 indexed citations

Dumkrieger, Gina, S. Garza, Amaal J. Starling, et al.. (2025). Symptoms of allodynia and pain thresholds amongst those with acute post-traumatic headache attributed to mild traumatic brain injury: a prospective, longitudinal study. The Journal of Headache and Pain. 27(1). 3–3.

Ashina, Håkan, Hans‐Christoph Diener, Cristina Tassorelli, et al.. (2024). Guidelines of the International Headache Society for controlled trials of pharmacological preventive treatment for persistent post-traumatic headache attributed to mild traumatic brain injury. Cephalalgia. 44(3). 2225279124–2225279124. 2 indexed citations

Nikolova, Simona, Catherine D. Chong, Jing Li, et al.. (2024). Brain structural and functional abnormalities associated with acute post-traumatic headache: iron deposition and functional connectivity. The Journal of Headache and Pain. 25(1). 88–88. 2 indexed citations

Yoon, Hyunsoo, et al.. (2024). Healthy core: Harmonizing brain MRI for supporting multicenter migraine classification studies. PLoS ONE. 19(12). e0288300–e0288300. 1 indexed citations

Dumkrieger, Gina, Catherine D. Chong, Katherine Ross, Visar Berisha, & Todd J. Schwedt. (2023). The value of brain MRI functional connectivity data in a machine learning classifier for distinguishing migraine from persistent post-traumatic headache. SHILAP Revista de lepidopterología. 3. 1012831–1012831. 11 indexed citations

Siddiquee, Md Mahfuzur Rahman, Catherine D. Chong, Simona Nikolova, et al.. (2022). Headache classification and automatic biomarker extraction from structural MRIs using deep learning. Brain Communications. 5(1). fcac311–fcac311. 21 indexed citations

10.

Siddiquee, Md Mahfuzur Rahman, et al.. (2022). HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease. Lecture notes in computer science. 13570. 43–54. 6 indexed citations

11.

Chong, Catherine D., Jing Li, Teresa Wu, et al.. (2021). Altered speech patterns in subjects with post-traumatic headache due to mild traumatic brain injury. The Journal of Headache and Pain. 22(1). 82–82. 9 indexed citations

12.

Ishii, Ryotaro, Todd J. Schwedt, Soo-Kyoung Kim, et al.. (2020). Effect of Migraine on Pregnancy Planning: Insights From the American Registry for Migraine Research. Mayo Clinic Proceedings. 95(10). 2079–2089. 25 indexed citations

13.

Chong, Catherine D., Lujia Wang, Kun Wang, Stephen J. Traub, & Jing Li. (2019). Homotopic region connectivity during concussion recovery: A longitudinal fMRI study. PLoS ONE. 14(10). e0221892–e0221892. 15 indexed citations

14.

Chong, Catherine D., Todd J. Schwedt, & David W. Dodick. (2016). Migraine: What Imaging Reveals. Current Neurology and Neuroscience Reports. 16(7). 64–64. 37 indexed citations

15.

Chong, Catherine D., Jonathan D. Plasencia, David Frakes, & Todd J. Schwedt. (2016). Structural alterations of the brainstem in migraine. NeuroImage Clinical. 13. 223–227. 42 indexed citations

16.

Bancroft, Carolyn, Andrew Rundle, Malo Hutson, et al.. (2015). Association of proximity and density of parks and objectively measured physical activity in the United States: A systematic review. Social Science & Medicine. 138. 22–30. 195 indexed citations

17.

Starling, Amaal J., et al.. (2015). Patients with psychogenic nonepileptic seizures report more severe migraine than patients with epilepsy. Seizure. 34. 78–82. 17 indexed citations

18.

Schwedt, Todd J., Visar Berisha, & Catherine D. Chong. (2015). Temporal Lobe Cortical Thickness Correlations Differentiate the Migraine Brain from the Healthy Brain. PLoS ONE. 10(2). e0116687–e0116687. 46 indexed citations

19.

Schwedt, Todd J., et al.. (2014). Low heat pain thresholds in migraineurs between attacks. Cephalalgia. 35(7). 593–599. 55 indexed citations

20.

Schwedt, Todd J. & Catherine D. Chong. (2014). Correlations between Brain Cortical Thickness and Cutaneous Pain Thresholds Are Atypical in Adults with Migraine. PLoS ONE. 9(6). e99791–e99791. 33 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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