Judy Zhong

8.0k total citations
146 papers, 3.8k citations indexed

About

Judy Zhong is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Judy Zhong has authored 146 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Oncology, 33 papers in Molecular Biology and 22 papers in Surgery. Recurrent topics in Judy Zhong's work include Cancer Immunotherapy and Biomarkers (20 papers), Cutaneous Melanoma Detection and Management (18 papers) and Melanoma and MAPK Pathways (13 papers). Judy Zhong is often cited by papers focused on Cancer Immunotherapy and Biomarkers (20 papers), Cutaneous Melanoma Detection and Management (18 papers) and Melanoma and MAPK Pathways (13 papers). Judy Zhong collaborates with scholars based in United States, China and South Korea. Judy Zhong's co-authors include Iman Osman, Anna C. Pavlick, Richard L. Shapiro, Paul Johannet, Yu Guo, Sung Won Han, Yuhe Xia, Farbod Darvishian, Eva Hernando and Russell S. Berman and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Judy Zhong

136 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Judy Zhong United States 35 1.2k 1.2k 903 494 458 146 3.8k
Panagiotis Paliogiannis Italy 32 990 0.8× 1.3k 1.1× 409 0.5× 461 0.9× 189 0.4× 179 3.9k
Lukas Hefler Austria 42 1.2k 1.0× 1.5k 1.3× 881 1.0× 774 1.6× 216 0.5× 208 5.1k
Kenneth R. Carson United States 32 565 0.5× 1.9k 1.7× 415 0.5× 289 0.6× 251 0.5× 150 4.2k
Jean-Philippe Jaı̈s France 36 1.3k 1.1× 1.2k 1.1× 554 0.6× 476 1.0× 146 0.3× 138 4.8k
Konstantinos Syrigos Greece 32 860 0.7× 2.1k 1.8× 516 0.6× 509 1.0× 162 0.4× 176 4.2k
Silvana Martino Italy 31 781 0.7× 1.6k 1.4× 1.2k 1.3× 1.2k 2.3× 130 0.3× 72 4.6k
Ishmael Jaiyesimi United States 21 632 0.5× 1.3k 1.1× 267 0.3× 537 1.1× 168 0.4× 119 3.1k
Maria Fiammetta Romano Italy 32 1.3k 1.1× 613 0.5× 609 0.7× 405 0.8× 261 0.6× 155 3.0k
Mario Roselli Italy 40 1.4k 1.2× 2.3k 2.0× 661 0.7× 711 1.4× 381 0.8× 240 5.3k
Christina Fotopoulou United Kingdom 39 1.0k 0.9× 1.4k 1.3× 517 0.6× 548 1.1× 296 0.6× 246 6.5k

Countries citing papers authored by Judy Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Judy Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Judy Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Judy Zhong. A scholar is included among the top collaborators of Judy Zhong 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 Judy Zhong. Judy Zhong 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.
2.
McCarthy, Margaret M., K. L. O’Neill, Judy Zhong, Yuhe Xia, & Sean Heffron. (2024). Using the EPIS Framework to Implement a Physical Activity Promotion Intervention at a Large Academic Healthcare System. Journal of Occupational and Environmental Medicine. 67(2). e123–e126.
3.
Boffa, Michael B., Judy Zhong, Michael Garshick, et al.. (2024). Variation in lipoprotein(a) response to potent lipid lowering: The role of apolipoprotein (a) isoform size. Journal of clinical lipidology. 19(1). 39–50. 1 indexed citations
4.
5.
Beasley, Jeannette M., Emily Johnston, Mary Ann Sevick, et al.. (2023). Study protocol: BRInging the Diabetes prevention program to GEriatric Populations. Frontiers in Medicine. 10. 1144156–1144156. 2 indexed citations
6.
Hausvater, Anaïs, Tanya M. Spruill, Yuhe Xia, et al.. (2023). Psychosocial Factors of Women Presenting With Myocardial Infarction With or Without Obstructive Coronary Arteries. Journal of the American College of Cardiology. 82(17). 1649–1658. 7 indexed citations
7.
Arabadjian, Milla, Jolaade Kalinowski, Yuhe Xia, et al.. (2023). Role of Resilience in the Psychological Recovery of Women With Acute Myocardial Infarction. Journal of the American Heart Association. 12(8). e027092–e027092. 6 indexed citations
8.
Roboz, Gail J., Farhad Ravandi, Andrew H. Wei, et al.. (2022). Oral azacitidine prolongs survival of patients with AML in remission independently of measurable residual disease status. Blood. 139(14). 2145–2155. 37 indexed citations
9.
Johannet, Paul, Wenke Liu, David Fenyö, et al.. (2022). Baseline Serum Autoantibody Signatures Predict Recurrence and Toxicity in Melanoma Patients Receiving Adjuvant Immune Checkpoint Blockade. Clinical Cancer Research. 28(18). 4121–4130. 30 indexed citations
10.
Bhatt, Alok A., et al.. (2021). Respiratory Mechanics and Association With Inflammation in , COVID-19-Related ARDS. Respiratory Care. 66(11). 1673–1683. 2 indexed citations
11.
Zheng, Hua, Ilya O. Ryzhov, Wei Xie, & Judy Zhong. (2021). Personalized Multimorbidity Management for Patients with Type 2 Diabetes Using Reinforcement Learning of Electronic Health Records. Drugs. 81(4). 471–482. 31 indexed citations
12.
Sloan, Caroline E., Judy Zhong, Dinushika Mohottige, et al.. (2020). Fragmentation of care as a barrier to optimal ESKD management. Seminars in Dialysis. 33(6). 440–448. 12 indexed citations
13.
Qian, Yingzhi, et al.. (2020). The ongoing racial disparities in melanoma: An analysis of the Surveillance, Epidemiology, and End Results database (1975-2016). Journal of the American Academy of Dermatology. 84(6). 1585–1593. 76 indexed citations
14.
Johannet, Paul, Nicolas Coudray, Douglas M. Donnelly, et al.. (2020). Using Machine Learning Algorithms to Predict Immunotherapy Response in Patients with Advanced Melanoma. Clinical Cancer Research. 27(1). 131–140. 114 indexed citations
15.
Gadi, Abhilash, Viviana Volta, Beth Walters, et al.. (2019). Inflammatory Breast Cancer Promotes Development of M2 Tumor-Associated Macrophages and Cancer Mesenchymal Cells through a Complex Chemokine Network. Cancer Research. 79(13). 3360–3371. 122 indexed citations
16.
Donnelly, Douglas M., Shirin Bajaj, Arjun Vasant Balar, et al.. (2019). The complex relationship between body mass index and response to immune checkpoint inhibition in metastatic melanoma patients. Journal for ImmunoTherapy of Cancer. 7(1). 222–222. 76 indexed citations
17.
Silva, Inês Pires da, Keith M. Giles, Matjaž Vogelsang, et al.. (2015). Identification of a Novel Pathogenic Germline KDR Variant in Melanoma. Clinical Cancer Research. 22(10). 2377–2385. 30 indexed citations
18.
Hanniford, Douglas, Judy Zhong, Avital Gaziel‐Sovran, et al.. (2015). A miRNA-Based Signature Detected in Primary Melanoma Tissue Predicts Development of Brain Metastasis. Clinical Cancer Research. 21(21). 4903–4912. 65 indexed citations
19.
Fleming, Nathaniel H., Inês Pires da Silva, Richard L. Shapiro, et al.. (2014). Analysis of Recurrence Patterns in Acral Versus Nonacral Melanoma: Should Histologic Subtype Influence Treatment Guidelines?. Journal of the National Comprehensive Cancer Network. 12(12). 1706–1712. 38 indexed citations
20.
Han, Sung Won, et al.. (2014). A Comparison of Spatiotemporal Surveillance Methods for Nonhomogeneous Change Size. Communications in Statistics - Simulation and Computation. 44(10). 2714–2730. 2 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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