Hyungwoo Cho

624 total citations
54 papers, 376 citations indexed

About

Hyungwoo Cho is a scholar working on Pathology and Forensic Medicine, Oncology and Surgery. According to data from OpenAlex, Hyungwoo Cho has authored 54 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Pathology and Forensic Medicine, 27 papers in Oncology and 11 papers in Surgery. Recurrent topics in Hyungwoo Cho's work include Lymphoma Diagnosis and Treatment (22 papers), Viral-associated cancers and disorders (11 papers) and CNS Lymphoma Diagnosis and Treatment (8 papers). Hyungwoo Cho is often cited by papers focused on Lymphoma Diagnosis and Treatment (22 papers), Viral-associated cancers and disorders (11 papers) and CNS Lymphoma Diagnosis and Treatment (8 papers). Hyungwoo Cho collaborates with scholars based in South Korea, United States and Pakistan. Hyungwoo Cho's co-authors include Dok Hyun Yoon, Baek‐Yeol Ryoo, Kyu‐pyo Kim, Cheolwon Suh, Jooryung Huh, Changhoon Yoo, Yoon‐Koo Kang, Min‐Hee Ryu, Heung-Moon Chang and Chan-Sik Park and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Scientific Reports.

In The Last Decade

Hyungwoo Cho

47 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyungwoo Cho South Korea 10 198 122 96 79 62 54 376
Benjamin M. Parsons United States 12 204 1.0× 252 2.1× 38 0.4× 90 1.1× 128 2.1× 36 440
Jean‐Nicolas Munck France 12 214 1.1× 137 1.1× 76 0.8× 70 0.9× 36 0.6× 21 413
Geundoo Jang South Korea 12 208 1.1× 117 1.0× 92 1.0× 159 2.0× 27 0.4× 39 396
Ewa Chmielowska Poland 12 251 1.3× 119 1.0× 47 0.5× 132 1.7× 25 0.4× 44 468
Won Jin Chang South Korea 12 177 0.9× 56 0.5× 30 0.3× 110 1.4× 47 0.8× 27 353
Diana Almader‐Douglas United States 11 175 0.9× 70 0.6× 65 0.7× 88 1.1× 13 0.2× 30 442
Phb Willemse Netherlands 13 279 1.4× 67 0.5× 70 0.7× 48 0.6× 58 0.9× 32 483
Praveen Ramakrishnan Geethakumari United States 9 183 0.9× 79 0.6× 20 0.2× 65 0.8× 31 0.5× 51 304
V. Barbounis Greece 15 231 1.2× 71 0.6× 72 0.8× 115 1.5× 16 0.3× 31 481
Luciano Wannesson Switzerland 14 235 1.2× 101 0.8× 36 0.4× 174 2.2× 15 0.2× 31 440

Countries citing papers authored by Hyungwoo Cho

Since Specialization
Citations

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

Fields of papers citing papers by Hyungwoo Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyungwoo Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Hyungwoo Cho. A scholar is included among the top collaborators of Hyungwoo Cho 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 Hyungwoo Cho. Hyungwoo Cho 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
2.
Kang, Yoon‐Koo, Hyung‐Don Kim, Hyungwoo Cho, et al.. (2025). Phase 2 study of neoadjuvant durvalumab plus docetaxel, oxaliplatin, and S-1 with surgery and adjuvant durvalumab plus S-1 for resectable locally advanced gastric cancer. Journal for ImmunoTherapy of Cancer. 13(3). e010635–e010635. 2 indexed citations
3.
Bae, Seongman, et al.. (2024). Immunity Against Measles in Korean Autologous Hematopoietic Stem Cell Transplant Recipients. Journal of Korean Medical Science. 39(28). e224–e224.
4.
Lee, Ji Yun, Ji Hyun Kwon, Joon Young Hur, et al.. (2023). Pembrolizumab for Patients with Relapsed or Refractory Extranodal NK/T-Cell Lymphoma in Korea. Cancer Research and Treatment. 56(2). 681–687. 4 indexed citations
5.
Yoon, Dok Hyun, Hyungwoo Cho, Jae‐Cheol Jo, et al.. (2023). A phase 1 study of AT101, a novel anti-CD19 CAR-T cell therapy targeting a membrane-proximal epitope of CD19, in patients with relapsed or refractory B cell non-Hodgkin lymphoma.. Journal of Clinical Oncology. 41(16_suppl). 7522–7522.
6.
Roh, Jin, Hyunji Kim, Hyungwoo Cho, et al.. (2023). The comprehensive expression of BCL2 family genes determines the prognosis of diffuse large B-cell lymphoma. Biochemical and Biophysical Research Communications. 673. 36–43.
7.
Cho, Hyungwoo, et al.. (2023). The Prognostic Significance of Vitamin D Deficiency in Korean Patients With Multiple Myeloma. Clinical Lymphoma Myeloma & Leukemia. 24(3). e112–e118. 1 indexed citations
8.
Jeong, Hyehyun, Hyungwoo Cho, Jung Yong Hong, et al.. (2022). Modified Stage Grouping of Diffuse Large B-Cell Lymphoma Involving the Same Side of the Diaphragm in the Rituximab Era. Frontiers in Oncology. 12. 888925–888925.
9.
Kang, Sora, Hyungwoo Cho, Shin Kim, et al.. (2022). A New Prognostic Index for Extranodal Natural Killer/T-Cell Lymphoma:Incorporation of Serum β-2 Microglobulin to PINK. Cancer Research and Treatment. 55(1). 314–324. 3 indexed citations
11.
Cho, Hyungwoo, Shin Kim, Kyoungmin Lee, Jung Sun Park, & Cheolwon Suh. (2021). Real-world Experience of Improvement in the Survival of Lymphoma and Myeloma Patients with Autologous Stem Cell Transplantation over a 25-year Period. Korean Journal of Medicine. 96(6). 501–511.
12.
Kim, Jae‐Hoon, Hyungwoo Cho, Heungsup Sung, et al.. (2021). Reappraisal of the prognostic value of Epstein-Barr virus status in monomorphic post-transplantation lymphoproliferative disorders–diffuse large B-cell lymphoma. Scientific Reports. 11(1). 2880–2880. 6 indexed citations
13.
Kang, Sora, Jae Ho Jeong, Shinkyo Yoon, et al.. (2021). Real-world data analysis of patients with cancer of unknown primary. Scientific Reports. 11(1). 23074–23074. 16 indexed citations
14.
Min, Jeong‐Ki, Hyungwoo Cho, Dae‐Hyun Ko, et al.. (2020). Assessment of NK Cell Activity Based on NK Cell-Specific Receptor Synergy in Peripheral Blood Mononuclear Cells and Whole Blood. International Journal of Molecular Sciences. 21(21). 8112–8112. 4 indexed citations
15.
Roh, Jin, Jiwon Jung, So‐Woon Kim, et al.. (2020). Risk Stratification Using Multivariable Fractional Polynomials in Diffuse Large B-Cell Lymphoma. Frontiers in Oncology. 10. 329–329. 9 indexed citations
16.
Roh, Jin, Hyungwoo Cho, Dok Hyun Yoon, et al.. (2019). Quantitative Analysis of Tumor-Specific BCL2 Expression in DLBCL: Refinement of Prognostic Relevance of BCL2. Blood. 134(Supplement_1). 2901–2901. 2 indexed citations
18.
Cho, Hyungwoo, Dok Hyun Yoon, Kyu-pyo Kim, et al.. (2018). Phase I study of CKD-581, a pan-histone deacetylase inhibitor, in patients with lymphoma or multiple myeloma refractory to standard therapy. Investigational New Drugs. 36(5). 877–885. 9 indexed citations
20.
Jang, Il‐Young, Young Soo Lee, Hyungwoo Cho, et al.. (2013). Potentially Inappropriate Medications in Elderly Outpatients by the 2012 Version of Beers Criteria: A Single Tertiary Medical Center Experience in South Korea. Journal of the Korean Geriatrics Society. 17(3). 126–133. 8 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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