Peter Chang

1.9k total citations · 1 hit paper
23 papers, 1.4k citations indexed

About

Peter Chang is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Neurology. According to data from OpenAlex, Peter Chang has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Genetics and 5 papers in Neurology. Recurrent topics in Peter Chang's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Glioma Diagnosis and Treatment (7 papers) and MRI in cancer diagnosis (4 papers). Peter Chang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Glioma Diagnosis and Treatment (7 papers) and MRI in cancer diagnosis (4 papers). Peter Chang collaborates with scholars based in United States, United Kingdom and Taiwan. Peter Chang's co-authors include Daniel Chow, Jack Grinband, Christopher G. Filippi, Samuel C. Silverstein, Steven Greenberg, Brent D. Weinberg, Min‐Ying Su, Daniela A. Bota, Michelle Bardis and Laila Poisson and has published in prestigious journals such as The Journal of Experimental Medicine, PLoS ONE and Stroke.

In The Last Decade

Peter Chang

21 papers receiving 1.3k 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.

Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas

2018 325 citations Peter Chang, Jack Grinband et al. American Journal of Neuroradiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Chang United States	16	707	358	236	224	165	23	1.4k
Sohil H. Patel United States	19	988 1.4×	786 2.2×	76 0.3×	170 0.8×	175 1.1×	69	1.6k
Andreas Saleh Germany	20	355 0.5×	70 0.2×	181 0.8×	161 0.7×	232 1.4×	31	1.7k
Amish Doshi United States	20	595 0.8×	130 0.4×	76 0.3×	90 0.4×	629 3.8×	63	2.6k
Tamim Niazi Canada	23	750 1.1×	167 0.5×	187 0.8×	86 0.4×	15 0.1×	118	1.6k
Ekkehard Hewer Switzerland	18	144 0.2×	240 0.7×	35 0.1×	61 0.3×	228 1.4×	76	907
Todd Hollon United States	17	141 0.2×	215 0.6×	55 0.2×	45 0.2×	86 0.5×	53	866
Georg Göbel Austria	18	269 0.4×	181 0.5×	29 0.1×	40 0.2×	234 1.4×	61	1.2k
Kalil G. Abdullah United States	30	331 0.5×	598 1.7×	22 0.1×	78 0.3×	204 1.2×	122	2.9k
Pamela S. Jones United States	18	92 0.1×	379 1.1×	41 0.2×	81 0.4×	188 1.1×	55	1.4k
Margaret Pain United States	15	203 0.3×	91 0.3×	147 0.6×	22 0.1×	209 1.3×	31	800

Countries citing papers authored by Peter Chang

Since Specialization

Citations

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

Fields of papers citing papers by Peter Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Chang. A scholar is included among the top collaborators of Peter Chang 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 Peter Chang. Peter Chang 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

Chang, Peter, et al.. (2025). Abstract TP171: Automated Large Vessel Occlusions Detection: Improved Diagnostic Accuracy in MCA M2 Segment Using Deep Learning. Stroke. 56(Suppl_1).

Nguyen, Janet, et al.. (2025). Evaluation of small vessel disease burden on MRI and stroke outcomes. Frontiers in Neurology. 16. 1628787–1628787. 1 indexed citations

Li, Yang, et al.. (2024). Significance of MRI-based radiomics in predicting pathological complete response to neoadjuvant chemoradiotherapy of locally advanced rectal cancer: A narrative review. Cancer/Radiothérapie. 28(4). 390–401. 2 indexed citations

Bardis, Michelle, et al.. (2021). Segmentation of the Prostate Transition Zone and Peripheral Zone on MR Images with Deep Learning. Radiology Imaging Cancer. 3(3). e200024–e200024. 42 indexed citations

Chang, Peter, et al.. (2020). Building Health Literacy Coalitions and NGOs. Studies in health technology and informatics. 269. 258–263.

Chow, Daniel, Justin Glavis‐Bloom, Jennifer E. Soun, et al.. (2020). Development and external validation of a prognostic tool for COVID-19 critical disease. PLoS ONE. 15(12). e0242953–e0242953. 13 indexed citations

Shi, Liming, Yang Zhang, Ke Nie, et al.. (2019). Machine learning for prediction of chemoradiation therapy response in rectal cancer using pre-treatment and mid-radiation multi-parametric MRI. Magnetic Resonance Imaging. 61. 33–40. 87 indexed citations

Zhang, Yang, Jeon‐Hor Chen, Vivian Youngjean Park, et al.. (2019). Automatic Breast and Fibroglandular Tissue Segmentation in Breast MRI Using Deep Learning by a Fully-Convolutional Residual Neural Network U-Net. Academic Radiology. 26(11). 1526–1535. 77 indexed citations

Bowden, Stephen, Brian Gill, Zachary Englander, et al.. (2018). Local Glioma Cells Are Associated with Vascular Dysregulation. American Journal of Neuroradiology. 39(3). 507–514. 13 indexed citations

10.

Chang, Peter, Edward Kuoy, Jack Grinband, et al.. (2018). Hybrid 3D/2D Convolutional Neural Network for Hemorrhage Evaluation on Head CT. American Journal of Neuroradiology. 39(9). 1609–1616. 193 indexed citations

11.

Broucke, Stephan Van den, Peter E. H. Schwarz, Gerardine Doyle, et al.. (2018). The impact of health literacy on diabetes self-management education. Health Education Journal. 77(3). 349–362. 28 indexed citations

12.

Chang, Peter, Jack Grinband, Brent D. Weinberg, et al.. (2018). Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas. American Journal of Neuroradiology. 39(7). 1201–1207. 325 indexed citations breakdown →

13.

Müller, Ingrid, Alison Rowsell, Beth Stuart, et al.. (2017). Effects on Engagement and Health Literacy Outcomes of Web-Based Materials Promoting Physical Activity in People With Diabetes: An International Randomized Trial. Journal of Medical Internet Research. 19(1). e21–e21. 36 indexed citations

14.

Chang, Peter, Hani Malone, Stephen Bowden, et al.. (2017). A Multiparametric Model for Mapping Cellularity in Glioblastoma Using Radiographically Localized Biopsies. American Journal of Neuroradiology. 38(5). 890–898. 84 indexed citations

15.

Qian, Z. Jason, Peter Chang, Gul Moonis, & Anil K. Lalwani. (2017). A novel method of quantifying brain atrophy associated with age-related hearing loss. NeuroImage Clinical. 16. 205–209. 38 indexed citations

16.

Chow, Daniel, Peter Chang, Brent D. Weinberg, et al.. (2017). Imaging Genetic Heterogeneity in Glioblastoma and Other Glial Tumors: Review of Current Methods and Future Directions. American Journal of Roentgenology. 210(1). 30–38. 52 indexed citations

17.

Genega, Elizabeth M., Seymour Rosen, Martin G. Sanda, et al.. (2016). Gleason Misclassification Rate Is Independent of Number of Biopsy Cores in Systematic Biopsy. Urology. 91(2). 143–149. 17 indexed citations

18.

Chang, Peter, et al.. (2013). Is the European Union a Global Health Actor? An Analysis of Its Capacities, Involvement and Challenges. European Foreign Affairs Review. 18(Issue 3). 309–328. 7 indexed citations

19.

Lacher, Markus D., Marisa Shiina, Peter Chang, et al.. (2011). ZEB1 limits adenoviral infectability by transcriptionally repressing the Coxsackie virus and Adenovirus Receptor. Molecular Cancer. 10(1). 91–91. 22 indexed citations

20.

Greenberg, Steven, Peter Chang, & Samuel C. Silverstein. (1993). Tyrosine phosphorylation is required for Fc receptor-mediated phagocytosis in mouse macrophages.. The Journal of Experimental Medicine. 177(2). 529–534. 167 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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