Won Sik Jang

1.2k total citations
93 papers, 810 citations indexed

About

Won Sik Jang is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology. According to data from OpenAlex, Won Sik Jang has authored 93 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Pulmonary and Respiratory Medicine, 34 papers in Surgery and 19 papers in Oncology. Recurrent topics in Won Sik Jang's work include Prostate Cancer Diagnosis and Treatment (28 papers), Prostate Cancer Treatment and Research (26 papers) and Renal cell carcinoma treatment (20 papers). Won Sik Jang is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (28 papers), Prostate Cancer Treatment and Research (26 papers) and Renal cell carcinoma treatment (20 papers). Won Sik Jang collaborates with scholars based in South Korea, United States and Egypt. Won Sik Jang's co-authors include Young Deuk Choi, Won Sik Ham, Koon Ho Rha, Kang Su Cho, Jee Soo Park, Jongchan Kim, Ji Eun Heo, Jong Soo Lee, Woong Kyu Han and Yong Jin Kang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Won Sik Jang

84 papers receiving 798 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Won Sik Jang South Korea 18 521 247 170 118 110 93 810
Jean-Marie Ferrière France 17 520 1.0× 316 1.3× 153 0.9× 63 0.5× 122 1.1× 34 826
William P. Parker United States 15 448 0.9× 325 1.3× 114 0.7× 103 0.9× 92 0.8× 57 812
Marc‐Olivier Timsit France 21 613 1.2× 360 1.5× 150 0.9× 117 1.0× 51 0.5× 59 1.1k
P. Ballanger France 18 342 0.7× 459 1.9× 128 0.8× 86 0.7× 235 2.1× 50 961
Abhay Kumar India 16 429 0.8× 267 1.1× 57 0.3× 78 0.7× 152 1.4× 32 976
Kian Tai Chong United States 12 302 0.6× 240 1.0× 105 0.6× 34 0.3× 92 0.8× 22 516
Kenta Miki Japan 16 465 0.9× 110 0.4× 84 0.5× 44 0.4× 105 1.0× 71 666
Takaaki Inoue Japan 19 643 1.2× 274 1.1× 176 1.0× 57 0.5× 61 0.6× 89 963
Ronald S. Boris United States 21 719 1.4× 437 1.8× 50 0.3× 112 0.9× 136 1.2× 72 1.1k
Edward N. Rampersaud United States 16 508 1.0× 224 0.9× 101 0.6× 97 0.8× 34 0.3× 26 816

Countries citing papers authored by Won Sik Jang

Since Specialization
Citations

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

Fields of papers citing papers by Won Sik Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Sik Jang. 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 Won Sik Jang. The network helps show where Won Sik Jang may publish in the future.

Co-authorship network of co-authors of Won Sik Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Won Sik Jang. A scholar is included among the top collaborators of Won Sik Jang 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 Won Sik Jang. Won Sik Jang 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.
Choi, Seo Hee, Seung‐Hoon Beom, Young Deuk Choi, et al.. (2024). The Role of Local Prostate and Metastasis-Directed Radiotherapy in the Treatment of Oligometastatic Prostate Cancer. Cancers. 16(18). 3159–3159.
2.
Park, Jee Soo, et al.. (2024). ctDNA predicts clinical T1a to pathological T3a upstaging after partial nephrectomy. Cancer Science. 115(5). 1680–1687. 4 indexed citations
3.
4.
Lee, Jong Soo, et al.. (2024). Short-term outcomes of intravesical gemcitabine for non-muscle-invasive bladder cancer after recent approval for use in Korea. Investigative and Clinical Urology. 65(5). 435–435.
5.
Han, Kichang, Jong Soo Lee, Hyun Ho Han, et al.. (2024). Lymphatic embolization for early post-operative lymphatic leakage after radical cystectomy for bladder cancer. PLoS ONE. 19(9). e0305240–e0305240. 1 indexed citations
6.
Song, Sang Hoon, Jaewon Lee, Young Hwii Ko, et al.. (2023). TNM-Based Head-to-Head Comparison of Urachal Carcinoma and Urothelial Bladder Cancer: Stage-Matched Analysis of a Large Multicenter National Cohort. Cancer Research and Treatment. 55(4). 1337–1345. 2 indexed citations
7.
Ham, Won Sik, Jee Soo Park, Won Sik Jang, & Jongchan Kim. (2023). Role of Maximal Transurethral Resection Preceding Partial Cystectomy for Muscle-Invasive Bladder Cancer. Annals of Surgical Oncology. 31(2). 1384–1392. 1 indexed citations
8.
Heo, Ji Eun, Kang Su Cho, Jong Soo Lee, et al.. (2023). Bladder Preservation With Transurethral Tumor Resection and Intravesical BCG Instillation in Superficial Muscle-Invasive Bladder Cancer: A 10-Year Follow-up. SHILAP Revista de lepidopterología. 21(1). 70–78. 1 indexed citations
9.
Ko, Young Hwii, Jong Wook Kim, Seok Ho Kang, et al.. (2023). The Prognostic Impact of Angiolymphatic Invasion in Bladder Urothelial Carcinoma Patients Undergoing Radical Cystectomy. SHILAP Revista de lepidopterología. 21(1). 79–87.
10.
11.
Lee, Jong Soo, Ji Eun Heo, Won Sik Jang, et al.. (2023). Phosphodiesterase-5 Inhibitor Use in Robot Assisted Radical Prostatectomy Patients Is Associated with Reduced Risk of Death: A Propensity Score Matched Analysis of 1,058 Patients. The World Journal of Men s Health. 41(4). 892–892. 1 indexed citations
12.
Heo, Ji Eun, et al.. (2023). Outcomes of single-port robotic ureteral reconstruction using the da Vinci SP® system. Investigative and Clinical Urology. 64(4). 373–373. 5 indexed citations
13.
Lee, Jong Soo, Jongchan Kim, Won Sik Ham, et al.. (2022). Evaluation of the Surgical Margin Threshold for Avoiding Recurrence after Partial Nephrectomy in Patients with Renal Cell Carcinoma. Yonsei Medical Journal. 63(2). 173–173. 6 indexed citations
14.
Na, Joon Chae, et al.. (2022). Clinical Implications for da Vinci SP Partial Nephrectomy in High-Complexity Tumors: Propensity Score-Matching Analysis. Journal of Endourology. 36(10). 1290–1295. 6 indexed citations
15.
16.
Chung, Doo Yong, et al.. (2019). Clinical Significance of Multiparametric Magnetic Resonance Imaging as a Preoperative Predictor of Oncologic Outcome in Very Low-Risk Prostate Cancer. Journal of Clinical Medicine. 8(4). 542–542. 2 indexed citations
17.
Jang, Won Sik, Jongchan Kim, Jong Soo Lee, et al.. (2019). The prognostic impact of downgrading and upgrading from biopsy to radical prostatectomy among men with Gleason score 7 prostate cancer. The Prostate. 79(16). 1805–1810. 11 indexed citations
18.
Jang, Won Sik, et al.. (2019). Robot-assisted laparoscopic single-port pyeloplasty using the da Vinci SP® system: initial experience with a pediatric patient. Journal of Pediatric Urology. 15(5). 576–577. 19 indexed citations
19.
Na, Joon Chae, Hyung Ho Lee, Young Eun Yoon, et al.. (2019). True Single-Site Partial Nephrectomy Using the SP Surgical System: Feasibility, Comparison with the Xi Single-Site Platform, and Step-By-Step Procedure Guide. Journal of Endourology. 34(2). 169–174. 18 indexed citations
20.
Kang, Yong Jin, Hyun Soo Kim, Won Sik Jang, et al.. (2017). Impact of lymphovascular invasion on lymph node metastasis for patients undergoing radical prostatectomy with negative resection margin. BMC Cancer. 17(1). 321–321. 20 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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