Shulin Wu
About
Shulin Wu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Surgery.
According to data from OpenAlex, Shulin Wu has authored 63 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Pulmonary and Respiratory Medicine, 23 papers in Molecular Biology and 13 papers in Surgery. Recurrent topics in Shulin Wu's work include Prostate Cancer Diagnosis and Treatment (29 papers), Prostate Cancer Treatment and Research (29 papers) and Renal cell carcinoma treatment (12 papers). Shulin Wu is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (29 papers), Prostate Cancer Treatment and Research (29 papers) and Renal cell carcinoma treatment (12 papers). Shulin Wu collaborates with scholars based in United States, China and Sweden. Shulin Wu's co-authors include Chin‐Lee Wu, W. Scott McDougal, Aria F. Olumi, Douglas M. Dahl, Robert H. Young, Brendan D. Manning, Jingxiang Huang, David B. Shackelford, Mathias Leblanc and Chaofu Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.
In The Last Decade
Shulin Wu
59 papers receiving 1.6k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Shulin Wu United States | 23 | 691 | 670 | 419 | 342 | 220 | 63 | 1.6k | ||
| Milton W. Datta United States | 24 | 608 0.9× | 1.4k 2.1× | 349 0.8× | 468 1.4× | 340 1.5× | 61 | 2.3k | ||
| Torvald Granfors Sweden | 24 | 1.0k 1.5× | 534 0.8× | 335 0.8× | 332 1.0× | 303 1.4× | 40 | 1.8k | ||
| Vladimir Valera United States | 22 | 787 1.1× | 1.0k 1.6× | 681 1.6× | 278 0.8× | 220 1.0× | 51 | 1.9k | ||
| Marieta Toma Germany | 26 | 824 1.2× | 997 1.5× | 427 1.0× | 499 1.5× | 669 3.0× | 105 | 2.3k | ||
| Sameer Jhavar United States | 18 | 669 1.0× | 613 0.9× | 402 1.0× | 241 0.7× | 106 0.5× | 46 | 1.3k | ||
| Georg Schaefer Austria | 22 | 457 0.7× | 450 0.7× | 265 0.6× | 192 0.6× | 115 0.5× | 46 | 1.1k | ||
| Ole J. Halvorsen Norway | 26 | 1.2k 1.7× | 1.6k 2.4× | 748 1.8× | 738 2.2× | 263 1.2× | 79 | 3.0k | ||
| Andrew S. Goldstein United States | 22 | 1.2k 1.7× | 1.1k 1.6× | 498 1.2× | 955 2.8× | 229 1.0× | 57 | 2.5k | ||
| Gary R. MacVicar United States | 15 | 1.0k 1.5× | 523 0.8× | 325 0.8× | 485 1.4× | 487 2.2× | 36 | 1.8k | ||
| Bungo Furusato United States | 26 | 1.4k 2.0× | 1.1k 1.7× | 618 1.5× | 759 2.2× | 185 0.8× | 63 | 2.7k |
Countries citing papers authored by Shulin Wu
Since
Specialization
Citations
This map shows the geographic impact of Shulin Wu'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 Shulin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shulin Wu more than expected).
Fields of papers citing papers by Shulin Wu
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Shulin Wu. 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 Shulin Wu. The network helps show where Shulin Wu may publish in the future.
Co-authorship network of co-authors of Shulin Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Shulin Wu. A scholar is included among the top collaborators of Shulin Wu 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 Shulin Wu. Shulin Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Dahl, Douglas M., Shulin Wu, Sharron X. Lin, et al.. (2024). Clinical significance of prostate cancer identified by transperineal standard template biopsy in men with nonsuspicious multiparametric magnetic resonance imaging. Urologic Oncology Seminars and Original Investigations. 42(2). 28.e21–28.e28.
2.
Wu, Shulin, Sharron X. Lin, Ting C. Zhao, et al.. (2023). Detection of extraprostatic extension by transperineal multiparametric magnetic resonance imaging-ultrasound fusion targeted combined with systemic template prostate biopsy. Diagnostic Pathology. 18(1). 101–101.
3.
Wu, Shulin, Adam S. Feldman, Michelle M. Kim, et al.. (2023). Gleason Grade Group Concordance between Systematic Template Combining Magnetic Resonance Imaging Fusion Targeted Biopsy and Radical Prostatectomy Specimens: A Comparison of Transperineal and Transrectal Approaches. Urology. 175. 151–156.
4.
Hirz, Taghreed, Shenglin Mei, Hirak Sarkar, et al.. (2023). Dissecting the immune suppressive human prostate tumor microenvironment via integrated single-cell and spatial transcriptomic analyses. Nature Communications. 14(1). 663–663.
5.
Vandergrift, Lindsey A., Yannick Berker, Chin‐Lee Wu, et al.. (2023). Characterization of the metabolomic profile of renal cell carcinoma by high resolution magic angle spinning proton magnetic resonance spectroscopy. Urologic Oncology Seminars and Original Investigations. 41(11). 459.e9–459.e16.
6.
Liang, Yuxiang, Yingke Liang, Zhihao Zou, et al.. (2022). Tumor Suppressor Role and Clinical Significance of the FEV Gene in Prostate Cancer. Disease Markers. 2022. 1–14.
7.
Dahl, Douglas M., Michelle M. Kim, Shulin Wu, et al.. (2022). Detection of clinically significant prostate cancer by transperineal multiparametric magnetic resonance imaging-ultrasound fusion targeted prostate biopsy in smaller prostates. Urologic Oncology Seminars and Original Investigations. 40(10). 451.e9–451.e14.
8.
Wu, Shulin, Christina Sharkey, Shahin Tabatabaei, et al.. (2020). Obesity-associated inflammation induces androgenic to estrogenic switch in the prostate gland. Prostate Cancer and Prostatic Diseases. 23(3). 465–474.
9.
Wu, Shulin, Ling Xie, Sharron X. Lin, et al.. (2020). Quantification of perineural invasion focus after radical prostatectomy could improve predictive power of recurrence. Human Pathology. 104. 96–104.
10.
Tosoian, Jeffrey J., Adam S. Feldman, Rohit Mehra, et al.. (2020). Biopsy Cell Cycle Proliferation Score Predicts Adverse Surgical Pathology in Localized Renal Cell Carcinoma. European Urology. 78(5). 657–660.
11.
Wu, Shulin, Sharron X. Lin, Grégory J. Wirth, et al.. (2018). Impact of Multifocality and Multilocation of Positive Surgical Margin After Radical Prostatectomy on Predicting Oncological Outcome. Clinical Genitourinary Cancer. 17(1). e44–e52.
12.
Vandergrift, Lindsey A., Shulin Wu, Elita M. DeFeo, et al.. (2018). Metabolomic Prediction of Human Prostate Cancer Aggressiveness: Magnetic Resonance Spectroscopy of Histologically Benign Tissue. Scientific Reports. 8(1). 4997–4997.
13.
Morgan, Todd M., Rohit Mehra, J. Stuart Wolf, et al.. (2017). A Multigene Signature Based on Cell Cycle Proliferation Improves Prediction of Mortality Within 5 Yr of Radical Nephrectomy for Renal Cell Carcinoma. European Urology. 73(5). 763–769.
14.
Krasnow, Ross, Michael Drumm, Hannah Roberts, et al.. (2016). Clinical Outcomes of Patients with Histologic Variants of Urothelial Cancer Treated with Trimodality Bladder-sparing Therapy. European Urology. 72(1). 54–60.
15.
Wang, Dongwen, Xiaobin Yuan, Bin Zhang, et al.. (2015). Endoplasmic reticulum stress is involved in apoptosis of detrusor muscle in streptozocin‐induced diabetic rats. Neurourology and Urodynamics. 36(1). 65–72.
16.
Huang, Jiwei, Adam S. Feldman, Liang Dong, et al.. (2015). Preoperative Anemia as an Independent Prognostic Indicator of Papillary Renal Cell Carcinoma. Clinical Genitourinary Cancer. 13(5). e353–e360.
17.
Cornejo, Kristine M., Min Lu, Ping Yang, et al.. (2015). Succinate dehydrogenase B: a new prognostic biomarker in clear cell renal cell carcinoma. Human Pathology. 46(6). 820–826.
18.
Zhuo, Yangjia, Ming Xi, Yueping Wan, et al.. (2015). Enhanced expression of centromere protein F predicts clinical progression and prognosis in patients with prostate cancer. International Journal of Molecular Medicine. 35(4). 966–972.
19.
Dittrich, Ralf, Elita M. DeFeo, Matthias Taupitz, et al.. (2012). Assessing prostate cancer growth with citrate measured by intact tissue proton magnetic resonance spectroscopy. Prostate Cancer and Prostatic Diseases. 15(3). 278–282.
20.
Leung, Yuet‐Kin, Hung‐Ming Lam, Shulin Wu, et al.. (2010). Estrogen receptor β2 and β5 are associated with poor prognosis in prostate cancer, and promote cancer cell migration and invasion. Endocrine Related Cancer. 17(3). 675–689.
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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