Andrew Chung

1.6k total citations
19 papers, 1.0k citations indexed

About

Andrew Chung is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Andrew Chung has authored 19 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Surgery. Recurrent topics in Andrew Chung's work include Prostate Cancer Diagnosis and Treatment (11 papers), Prostate Cancer Treatment and Research (10 papers) and Hormonal and reproductive studies (3 papers). Andrew Chung is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (11 papers), Prostate Cancer Treatment and Research (10 papers) and Hormonal and reproductive studies (3 papers). Andrew Chung collaborates with scholars based in United States and Canada. Andrew Chung's co-authors include Leo Kusuda, David G. McLeod, Judd W. Moul, Timothy F. Donahue, Christopher L. Amling, Leon Sun, Douglas W. Soderdahl, Wade J. Sexton, Hongyu Wu and Vincent Colucci and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Urology.

In The Last Decade

Andrew Chung

17 papers receiving 986 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Chung United States 12 717 207 177 119 111 19 1.0k
Ulrich M. Carl Germany 15 241 0.3× 123 0.6× 154 0.9× 84 0.7× 39 0.4× 42 758
Jan‐Karl Burkhardt United States 20 253 0.4× 114 0.6× 174 1.0× 107 0.9× 82 0.7× 69 1.0k
Alexander Roosen Germany 24 696 1.0× 80 0.4× 382 2.2× 63 0.5× 451 4.1× 86 1.5k
Or Cohen‐Inbar United States 22 251 0.4× 180 0.9× 252 1.4× 74 0.6× 76 0.7× 55 1.1k
J. Lister United States 14 186 0.3× 51 0.2× 252 1.4× 86 0.7× 110 1.0× 43 744
J. Antonio Gutierrez United States 20 432 0.6× 59 0.3× 398 2.2× 79 0.7× 97 0.9× 54 1.3k
Yasuto Onoyama Japan 15 186 0.3× 79 0.4× 178 1.0× 170 1.4× 44 0.4× 57 790
Daniela Colleselli Austria 17 273 0.4× 50 0.2× 317 1.8× 47 0.4× 199 1.8× 56 769
Piet L. Jager Netherlands 15 281 0.4× 42 0.2× 110 0.6× 78 0.7× 93 0.8× 34 874
Chi Lai United States 21 173 0.2× 134 0.6× 494 2.8× 51 0.4× 41 0.4× 41 1.1k

Countries citing papers authored by Andrew Chung

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Chung

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

All Works

19 of 19 papers shown
1.
Jung, Jung Hoon, Ying Wang, Andrew J. Mocle, et al.. (2023). EXAMINING THE ENGRAM ENCODING SPECIFICITY HYPOTHESIS IN MICE. IBRO Neuroscience Reports. 15. S854–S854. 1 indexed citations
2.
Chung, Andrew, Michael A. Busseri, & Karen M. Arnell. (2022). Individual differences in naturally occurring affect predict conceptual breadth: evidence for the importance of arousal by valence interactions. Cognitive Research Principles and Implications. 7(1). 98–98.
3.
4.
Magen, Iddo, et al.. (2015). Social Cognition Impairments in Mice Overexpressing Alpha-Synuclein Under the Thy1 Promoter, a Model of Pre-manifest Parkinson’s Disease. Journal of Parkinson s Disease. 5(3). 669–680. 20 indexed citations
5.
Chung, Michael T., Kevin J. Paik, Shane D. Morrison, et al.. (2013). Isolation of Human Adipose-Derived Stromal Cells Using Laser-Assisted Liposuction and Their Therapeutic Potential in Regenerative Medicine. Stem Cells Translational Medicine. 2(10). 808–817. 57 indexed citations
6.
Chung, Michael T., et al.. (2011). Expedient Treatment of a Collodion Baby. SHILAP Revista de lepidopterología. 2011. 1–3. 8 indexed citations
7.
Moul, Judd W., Hongyu Wu, Leon Sun, et al.. (2008). Early Versus Delayed Hormonal Therapy for Prostate Specific Antigen Only Recurrence of Prostate Cancer After Radical Prostatectomy. The Journal of Urology. 179(5S). S53–9. 139 indexed citations
8.
Moul, Judd W., Christopher L. Amling, Yongmei Chen, et al.. (2004). 1184: How Long can Radical Prostatectomy (RP) Safely be Delayed? CPDR'S Experiences From 3324 Cases. The Journal of Urology. 171(4S). 312–312. 10 indexed citations
9.
Moul, Judd W., Hongyu Wu, Leon Sun, et al.. (2004). Early Versus Delayed Hormonal Therapy for Prostate Specific Antigen Only Recurrence of Prostate Cancer After Radical Prostatectomy. The Journal of Urology. 171(3). 1141–1147. 176 indexed citations
10.
Amling, Christopher L., Robert H. Riffenburgh, Leon Sun, et al.. (2004). 441: Pathologic Variables and Recurrence Rates as Related to Obesity and Race in Men with Prostate Cancer Undergoing Radical Prostatectomy. The Journal of Urology. 171(4S). 116–117. 10 indexed citations
11.
Wu, Hongyan, Leon Sun, Judd W. Moul, et al.. (2004). Watchful Waiting and Factors Predictive of Secondary Treatment of Localized Prostate Cancer. The Journal of Urology. 171(3). 1111–1116. 18 indexed citations
12.
Johnstone, Peter A.S., Robert H. Riffenburgh, Judd W. Moul, et al.. (2003). Effect of age on biochemical disease-free outcome in patients with T1-T3 prostate cancer treated with definitive radiotherapy in an equal-access health care system. International Journal of Radiation Oncology*Biology*Physics. 55(4). 964–969. 25 indexed citations
13.
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Sun, Leon, Judd W. Moul, Hongyu Wu, et al.. (2003). Pretreatment Total Testosterone Level Predicts Pathological Stage in Patients With Localized Prostate Cancer Treated With Radical Prostatectomy. The Journal of Urology. 169(5). 1670–1675. 231 indexed citations
15.
Carter, Corey A., Timothy F. Donahue, Leon Sun, et al.. (2003). Temporarily Deferred Therapy (watchful waiting) for Men Younger Than 70 Years and With Low-Risk Localized Prostate Cancer in the Prostate-Specific Antigen Era. Journal of Clinical Oncology. 21(21). 4001–4008. 53 indexed citations
16.
17.
Chung, Andrew, et al.. (1998). Assessment of outcome prediction models for localized prostate cancer in patients managed with external beam radiation therapy.. PubMed. 16(3). 153–9. 9 indexed citations
18.
Hynynen, Kullervo, Vincent Colucci, Andrew Chung, & Ferenc A. Jólesz. (1996). Noninvasive arterial occlusion using MRI-guided focused ultrasound. Ultrasound in Medicine & Biology. 22(8). 1071–1077. 134 indexed citations
19.
Chung, Andrew, et al.. (1996). Septic microemboli in a Janeway lesion of bacterial endocarditis. Journal of the American Academy of Dermatology. 35(6). 984–985. 16 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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