Connie Y. Chang

2.8k total citations
120 papers, 1.8k citations indexed

About

Connie Y. Chang is a scholar working on Surgery, Rheumatology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Connie Y. Chang has authored 120 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Surgery, 27 papers in Rheumatology and 21 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Connie Y. Chang's work include Orthopedic Infections and Treatments (13 papers), Bone Tumor Diagnosis and Treatments (13 papers) and Sarcoma Diagnosis and Treatment (12 papers). Connie Y. Chang is often cited by papers focused on Orthopedic Infections and Treatments (13 papers), Bone Tumor Diagnosis and Treatments (13 papers) and Sarcoma Diagnosis and Treatment (12 papers). Connie Y. Chang collaborates with scholars based in United States, Brazil and Netherlands. Connie Y. Chang's co-authors include Ambrose J. Huang, F. Joseph Simeone, Miriam A. Bredella, Martin Torriani, M. Roselle Abraham, Eduardo Marbán, Leslie Tung, Marvin G. Chang, William E. Palmer and Susan V. Kattapuram and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Connie Y. Chang

111 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Connie Y. Chang United States 24 847 292 287 281 230 120 1.8k
Oliver Aalami United States 20 1.0k 1.2× 477 1.6× 425 1.5× 125 0.4× 60 0.3× 61 2.3k
Michail E. Klontzas Greece 18 380 0.4× 302 1.0× 120 0.4× 106 0.4× 328 1.4× 115 1.1k
Helen Α. Papadaki Greece 34 534 0.6× 120 0.4× 875 3.0× 377 1.3× 104 0.5× 188 4.1k
Ioannis Fezoulidis Greece 24 563 0.7× 226 0.8× 150 0.5× 99 0.4× 823 3.6× 110 2.0k
Christophe Iselin Switzerland 26 1.0k 1.2× 187 0.6× 224 0.8× 585 2.1× 351 1.5× 129 2.7k
David Feiglin United States 20 847 1.0× 207 0.7× 211 0.7× 171 0.6× 357 1.6× 86 2.1k
Laura Mangiavini Italy 22 764 0.9× 216 0.7× 404 1.4× 660 2.3× 48 0.2× 141 1.9k
J. Mark Wilkinson United Kingdom 34 2.1k 2.5× 335 1.1× 466 1.6× 650 2.3× 120 0.5× 150 3.6k
Moritoshi Furu Japan 30 947 1.1× 159 0.5× 556 1.9× 734 2.6× 91 0.4× 99 2.7k
Shane A. Shapiro United States 18 327 0.4× 176 0.6× 544 1.9× 254 0.9× 68 0.3× 52 1.5k

Countries citing papers authored by Connie Y. Chang

Since Specialization
Citations

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

Fields of papers citing papers by Connie Y. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Connie Y. Chang

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

All Works

20 of 20 papers shown
1.
Gyftopoulos, Soterios, et al.. (2025). Quantifying the Opportunity and Economic Value of Bone Density Screening Using Opportunistic CT: A Medicare Database Analysis. Journal of the American College of Radiology. 22(3). 349–357. 2 indexed citations
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Chang, Connie Y., Leon Lenchik, Louis Blankemeier, Akshay Chaudhari, & Robert D. Boutin. (2024). Biomarkers of Body Composition. Seminars in Musculoskeletal Radiology. 28(1). 78–91. 1 indexed citations
5.
Gyftopoulos, Soterios, et al.. (2024). Bone Density Screening Rates Among Medicare Beneficiaries: An Analysis with a focus on Asian Americans. Skeletal Radiology. 53(11). 2347–2355. 3 indexed citations
6.
Gonzalez, Marcos R., et al.. (2024). Phosphaturic mesenchymal tumor: management and outcomes of ten patients treated at a single institution. Skeletal Radiology. 53(8). 1495–1506. 5 indexed citations
7.
Simeone, F. Joseph, et al.. (2023). Decreased rotator cuff muscle cross-sectional areas in subjects with adhesive capsulitis: a study comparing male and female subjects. Skeletal Radiology. 53(4). 761–767. 1 indexed citations
8.
Husseini, Jad S., Steven J. Staffa, William E. Palmer, et al.. (2023). Posterior capsule edema in adhesive capsulitis: comparison with established non-contrast MRI findings and multivariable analysis. European Radiology. 34(1). 260–269. 1 indexed citations
9.
Husseini, Jad S., Ruben Oganesyan, Steven J. Staffa, et al.. (2022). Prevalence of Paget’s disease of bone: review of consecutive abdominopelvic CT scans and literature. Acta Radiologica. 64(3). 1086–1092. 1 indexed citations
10.
Simeone, F. Joseph, et al.. (2021). Assessing the readability of patient-targeted online information on musculoskeletal radiology procedures. Skeletal Radiology. 50(7). 1379–1387. 2 indexed citations
11.
Li, Matthew, et al.. (2021). Artificial intelligence applied to musculoskeletal oncology: a systematic review. Skeletal Radiology. 51(2). 245–256. 23 indexed citations
12.
Chang, Connie Y., Jad S. Husseini, F. Joseph Simeone, et al.. (2020). CT-guided bone marrow aspirations and biopsies: retrospective study and comparison with blind procedures. Skeletal Radiology. 49(8). 1285–1294. 6 indexed citations
13.
Husseini, Jad S., F. Joseph Simeone, Sandra B. Nelson, & Connie Y. Chang. (2020). CT-guided discitis-osteomyelitis biopsies: needle gauge and microbiology results. Skeletal Radiology. 49(9). 1431–1439. 13 indexed citations
14.
Chang, Connie Y., et al.. (2020). A measuring technique for intra-osseous pressure. Skeletal Radiology. 50(7). 1461–1464. 2 indexed citations
15.
Chang, Connie Y., Anand M. Prabhakar, Steven J. Staffa, et al.. (2020). Symptomatic COVID-19 infections in outpatient image-guided corticosteroid injection patients during the lockdown phase. Skeletal Radiology. 50(6). 1117–1123. 10 indexed citations
16.
Chang, Connie Y., et al.. (2017). Dose reduction for fluoroscopically guided injections: phantom simulation and patient procedures. Skeletal Radiology. 47(2). 223–231. 3 indexed citations
17.
Chang, Connie Y., et al.. (2014). Gabapentin in Acute Postoperative Pain Management. BioMed Research International. 2014. 1–7. 81 indexed citations
18.
Chang, Marvin G., Connie Y. Chang, Enno de Lange, et al.. (2012). Dynamics of Early Afterdepolarization-Mediated Triggered Activity in Cardiac Monolayers. Biophysical Journal. 102(12). 2706–2714. 29 indexed citations
19.
Chang, Connie Y., et al.. (2009). Functional MRI in the Presurgical Evaluation of Patients with Brain Tumors: Characterization of the Statistical Threshold. Stereotactic and Functional Neurosurgery. 88(1). 35–41. 12 indexed citations
20.
Jadhav, Vikram, et al.. (2009). Hyperbaric Oxygen Preconditioning Reduces Postoperative Brain Edema and Improves Neurological Outcomes After Surgical Brain Injury. Acta neurochirurgica. Supplementum. 106. 217–220. 22 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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