Woo-Ick Yang

531 total citations
23 papers, 391 citations indexed

About

Woo-Ick Yang is a scholar working on Pathology and Forensic Medicine, Oncology and Neurology. According to data from OpenAlex, Woo-Ick Yang has authored 23 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pathology and Forensic Medicine, 13 papers in Oncology and 4 papers in Neurology. Recurrent topics in Woo-Ick Yang's work include Lymphoma Diagnosis and Treatment (13 papers), Viral-associated cancers and disorders (7 papers) and CNS Lymphoma Diagnosis and Treatment (4 papers). Woo-Ick Yang is often cited by papers focused on Lymphoma Diagnosis and Treatment (13 papers), Viral-associated cancers and disorders (7 papers) and CNS Lymphoma Diagnosis and Treatment (4 papers). Woo-Ick Yang collaborates with scholars based in South Korea, Japan and United States. Woo-Ick Yang's co-authors include Chang‐Ok Suh, Gwi Eon Kim, Su Jung Shim, Woong Sub Koom, Jae Kyung Roh, Eun Ji Chung, Joo‐Heon Yoon, Yong Bae Kim, Shizuo Kojya and Tetsuya Takakuwa and has published in prestigious journals such as Oncogene, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Woo-Ick Yang

23 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Woo-Ick Yang South Korea 12 263 252 105 79 50 23 391
Tawatchai Pongpruttipan Thailand 10 239 0.9× 281 1.1× 128 1.2× 35 0.4× 28 0.6× 19 409
Lisa L. P. Siu China 11 351 1.3× 328 1.3× 209 2.0× 43 0.5× 36 0.7× 27 585
Yuya Sasaki Japan 12 185 0.7× 194 0.8× 156 1.5× 29 0.4× 35 0.7× 26 403
Laura Bortesi Italy 11 275 1.0× 207 0.8× 37 0.4× 130 1.6× 36 0.7× 14 512
Joji Shimono Japan 12 242 0.9× 222 0.9× 180 1.7× 27 0.3× 86 1.7× 34 503
Lauge Hjorth Mikkelsen Denmark 14 259 1.0× 153 0.6× 93 0.9× 126 1.6× 78 1.6× 34 496
Valentina Tabanelli Italy 9 207 0.8× 237 0.9× 117 1.1× 30 0.4× 26 0.5× 26 383
Rina Kansal United States 13 98 0.4× 170 0.7× 53 0.5× 46 0.6× 24 0.5× 27 359
G. Ott Germany 13 155 0.6× 198 0.8× 44 0.4× 42 0.5× 50 1.0× 25 421
K Ohshima Japan 10 153 0.6× 204 0.8× 150 1.4× 36 0.5× 15 0.3× 16 368

Countries citing papers authored by Woo-Ick Yang

Since Specialization
Citations

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

Fields of papers citing papers by Woo-Ick Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Woo-Ick Yang. 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 Woo-Ick Yang. The network helps show where Woo-Ick Yang may publish in the future.

Co-authorship network of co-authors of Woo-Ick Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Woo-Ick Yang. A scholar is included among the top collaborators of Woo-Ick Yang 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 Woo-Ick Yang. Woo-Ick Yang 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.
Kim, Yu Ri, Sun Och Yoon, Soo‐Jeong Kim, et al.. (2020). Upfront autologous hematopoietic stem cell transplantation for high-risk patients with double-expressor diffuse large B cell lymphoma. Annals of Hematology. 99(9). 2149–2157. 5 indexed citations
2.
3.
Kim, Yu Ri, Soo‐Jeong Kim, June‐Won Cheong, et al.. (2017). Pretreatment Epstein-Barr virus DNA in whole blood is a prognostic marker in peripheral T-cell lymphoma. Oncotarget. 8(54). 92312–92323. 12 indexed citations
4.
Cho, Hyunsoo, Se Hoon Kim, Soo‐Jeong Kim, et al.. (2017). Programmed cell death 1 expression is associated with inferior survival in patients with primary central nervous system lymphoma. Oncotarget. 8(50). 87317–87328. 24 indexed citations
5.
6.
Kim, Seung Hyun, Kyoo-Ho Shin, Eun Hae Park, et al.. (2015). A new relative tumor sizing method in epi-metaphyseal osteosarcoma. BMC Cancer. 15(1). 284–284. 5 indexed citations
7.
Kim, Seung Hyun, et al.. (2014). Secondary Malignant Neoplasms after Osteosarcoma: Early Onset and Cumulative Alkylating Agent Dose Dependency. Annals of Surgical Oncology. 22(3). 859–865. 5 indexed citations
8.
Oh, Jae Won, et al.. (2009). The Prognostic Significance of Survivin Expression in Breast Cancer. Journal of Breast Cancer. 12(4). 285–285. 5 indexed citations
9.
Kim, Junyoung, Chang Moo Kang, Gi Hong Choi, et al.. (2007). Laparoscopic Excision of Intra-abdominal Paragonimiasis. Surgical Laparoscopy Endoscopy & Percutaneous Techniques. 17(6). 556–558. 9 indexed citations
10.
Shim, Su Jung, Woo-Ick Yang, Eunah Shin, et al.. (2006). Clinical significance of cyclooxygenase-2 expression in extranodal natural killer (NK)/T-cell lymphoma, nasal type. International Journal of Radiation Oncology*Biology*Physics. 67(1). 31–38. 20 indexed citations
11.
Park, Byeong‐Woo, Woo-Ick Yang, Seung Il Kim, et al.. (2006). The changes of estrogen receptor-β variants expression in breast carcinogenesis: Decrease of estrogen receptor-β2 expression is the key event in breast cancer development. Journal of Surgical Oncology. 93(6). 504–510. 26 indexed citations
12.
Koom, Woong Sub, Eun Ji Chung, Woo-Ick Yang, et al.. (2004). Angiocentric T-cell and NK/T-cell lymphomas: radiotherapeutic viewpoints. International Journal of Radiation Oncology*Biology*Physics. 59(4). 1127–1137. 85 indexed citations
13.
Kim, Gwi Eon, Woo-Ick Yang, Sang-Wook Lee, et al.. (2004). Lack of Correlation Between P-glycoprotein and Chemotherapy Resistance in Nasal NK/T-cell Lymphomas. Leukemia & lymphoma. 45(9). 1857–1864. 15 indexed citations
14.
Kim, Sung‐Eun, Se Hoon Kim, Beom Jin Lim, Soon Won Hong, & Woo-Ick Yang. (2004). Fine Needle Aspiration Cytology of Small Cell Variant of Anaplastic Large Cell Lymphoma. Acta Cytologica. 48(2). 254–258. 5 indexed citations
15.
Kim, Yong Bae, Sei Kyung Chang, Woo-Ick Yang, et al.. (2003). Primary NK/T Cell Lymphoma of the Testis. Acta Haematologica. 109(2). 95–100. 23 indexed citations
16.
Lee, Hye‐Kyung, Hee Jung Kim, Eun Hee Lee, et al.. (2003). Epstein-Barr Virus-Associated Peripheral T-Cell Lymphoma involving Spleen in a Renal Transplant Patient. Journal of Korean Medical Science. 18(2). 272–272. 4 indexed citations
17.
Takakuwa, Tetsuya, Shin‐ichi Nakatsuka, Shizuo Kojya, et al.. (2002). Frequent mutations of Fas gene in nasal NK/T cell lymphoma. Oncogene. 21(30). 4702–4705. 57 indexed citations
18.
Ueno, Hikaru, Youngmi Kim Pak, Joon-Woo Kim, et al.. (2002). Catheter-based adenovirus-mediated local intravascular gene delivery of a soluble TGF-β type II receptor using an Infiltrator in porcine coronary arteries: efficacy and complications. Experimental & Molecular Medicine. 34(4). 299–307. 10 indexed citations
19.
Lee, Sang-wook, Gwi Eon Kim, Eun Chang Choi, et al.. (2001). Primary squamous cell carcinoma of the parotid gland. American Journal of Otolaryngology. 22(6). 400–406. 32 indexed citations
20.
Park, Byeong‐Woo, Seung Il Kim, Kyong Sik Lee, & Woo-Ick Yang. (2001). Ductal Eccrine Carcinoma Presenting as a Paget's Disease-Like Lesion of the Breast. The Breast Journal. 7(5). 358–362. 4 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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