Hong Koo Ha

1.9k total citations
98 papers, 1.3k citations indexed

About

Hong Koo Ha is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Hong Koo Ha has authored 98 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Pulmonary and Respiratory Medicine, 33 papers in Surgery and 24 papers in Molecular Biology. Recurrent topics in Hong Koo Ha's work include Prostate Cancer Diagnosis and Treatment (27 papers), Prostate Cancer Treatment and Research (15 papers) and Bladder and Urothelial Cancer Treatments (13 papers). Hong Koo Ha is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (27 papers), Prostate Cancer Treatment and Research (15 papers) and Bladder and Urothelial Cancer Treatments (13 papers). Hong Koo Ha collaborates with scholars based in South Korea, United States and Australia. Hong Koo Ha's co-authors include Ja Yoon Ku, Chan Ho Lee, Moon Kee Chung, Yoon‐Kyoung Cho, Juhee Park, Hyun‐Kyung Woo, Vijaya Sunkara, Wan Lee, Jung Min Ha and Seong‐Jang Kim and has published in prestigious journals such as Advanced Materials, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Hong Koo Ha

87 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong Koo Ha South Korea 23 471 376 362 220 203 98 1.3k
Axel Hegele Germany 23 600 1.3× 709 1.9× 671 1.9× 409 1.9× 246 1.2× 134 1.9k
Tzong‐Shin Tzai Taiwan 21 418 0.9× 252 0.7× 425 1.2× 253 1.1× 128 0.6× 81 1.2k
Thorsten Ecke Germany 22 414 0.9× 417 1.1× 681 1.9× 288 1.3× 200 1.0× 107 1.4k
Shreyas Joshi United States 16 408 0.9× 552 1.5× 259 0.7× 376 1.7× 188 0.9× 91 1.2k
Pengfei Shen China 19 279 0.6× 674 1.8× 179 0.5× 216 1.0× 235 1.2× 96 1.1k
Jun Teishima Japan 23 787 1.7× 838 2.2× 435 1.2× 494 2.2× 400 2.0× 186 1.9k
Andrew T. Lenis United States 18 674 1.4× 652 1.7× 1.2k 3.3× 399 1.8× 321 1.6× 77 2.1k
Shengjie Guo China 21 799 1.7× 331 0.9× 462 1.3× 358 1.6× 515 2.5× 109 1.7k
Michael Franks United States 14 419 0.9× 280 0.7× 265 0.7× 138 0.6× 107 0.5× 34 1.4k
Mario W. Kramer Germany 24 645 1.4× 457 1.2× 790 2.2× 300 1.4× 174 0.9× 108 1.8k

Countries citing papers authored by Hong Koo Ha

Since Specialization
Citations

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

Fields of papers citing papers by Hong Koo Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong Koo Ha. 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 Hong Koo Ha. The network helps show where Hong Koo Ha may publish in the future.

Co-authorship network of co-authors of Hong Koo Ha

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Koo Ha. A scholar is included among the top collaborators of Hong Koo Ha 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 Hong Koo Ha. Hong Koo Ha 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.
Ha, Hong Koo, et al.. (2025). Treatment strategies for cisplatin-ineligible metastatic bladder cancer: Emerging therapies and future perspectives. Investigative and Clinical Urology. 66(6). 471–471.
2.
Lee, Chan Ho, Won Young Park, Ja Yoon Ku, et al.. (2025). Clinical implications of deep learning based image analysis of whole radical prostatectomy specimens. Scientific Reports. 15(1). 11006–11006.
3.
4.
Yun, Sung‐Cheol, Hong Koo Ha, Sangchul Lee, et al.. (2025). Urinary DNA Methylation Test for Bladder Cancer Diagnosis. JAMA Oncology. 11(3). 293–293. 4 indexed citations
5.
Ha, Jung Min, Hong Koo Ha, Yong Ryoul Yang, et al.. (2024). Phospholipase C-β3 is dispensable for vascular constriction but indispensable for vascular hyperplasia. Experimental & Molecular Medicine. 56(7). 1620–1630. 2 indexed citations
6.
Kim, Kyung Chun, et al.. (2024). Patient with recurrent paratesticular malignant mesothelioma and multiple primary neoplasms. SHILAP Revista de lepidopterología. 20(1). 114–114. 1 indexed citations
7.
Lee, Hye Won, et al.. (2023). Perioperative systemic therapy in muscle invasive bladder cancer: Current standard method, biomarkers and emerging strategies. Investigative and Clinical Urology. 64(3). 202–202. 9 indexed citations
8.
Chung, Ho Seok, Jun‐Eul Hwang, Woo Kyun Bae, et al.. (2022). Prognostic value of the endothelial activation and stress index in patients with upper tract urothelial cancer undergoing radical nephroureterectomy. Investigative and Clinical Urology. 63(6). 623–623. 8 indexed citations
9.
Ahn, Hee‐Sung, Jeonghun Yeom, Won Young Park, et al.. (2022). Comparative Analysis of Proteomes and Phosphoproteomes in Patients with Prostate Cancer Using Different Surgical Conditions. The World Journal of Men s Health. 40(4). 608–608. 1 indexed citations
10.
Ha, Jung Min, et al.. (2021). Modulation of Vascular Smooth Muscle Cell Phenotype by High Mobility Group AT-Hook 1. Journal of Lipid and Atherosclerosis. 10(1). 99–99. 7 indexed citations
11.
Sim, Wen Jing, Prasanna Vasudevan Iyengar, Dilraj Lama, et al.. (2019). c-Met activation leads to the establishment of a TGFβ-receptor regulatory network in bladder cancer progression. Nature Communications. 10(1). 4349–4349. 48 indexed citations
12.
13.
Jeong, Chang Wook, Sung Kyu Hong, Seok‐Soo Byun, et al.. (2017). Selection Criteria for Active Surveillance of Patients with Prostate Cancer in Korea: A Multicenter Analysis of Pathology after Radical Prostatectomy. Cancer Research and Treatment. 50(1). 265–274. 10 indexed citations
14.
15.
Lee, Chan Ho & Hong Koo Ha. (2014). Intravesical prostatic protrusion as a predictor of early urinary continence recovery after laparoscopic radical prostatectomy. International Journal of Urology. 21(7). 653–656. 24 indexed citations
16.
Kim, Hyeon Woo, Young Hun Choi, Sung Min Kang, et al.. (2012). Malignant Inflammatory Myofibroblastic Tumor of the Bladder with Rapid Progression. Korean journal of urology. 53(9). 657–657. 27 indexed citations
17.
Ha, Hong Koo, et al.. (2011). 413 PREDICTION OF PERINEURAL INVASION AND ITS PROGNOSTIC VALUE IN PATIENTS WITH PROSTATE CANCER. European Urology Supplements. 10(2). 144–144. 1 indexed citations
18.
Ha, Hong Koo, et al.. (2009). Survival Rates and Related Factors in Men with Hormone-Refractory Prostate Cancer. Korean journal of urology. 50(7). 649–649. 5 indexed citations
19.
Yi, Shounan, Wayne J. Hawthorne, Hong Koo Ha, et al.. (2003). T Cell-Activated Macrophages Are Capable of Both Recognition and Rejection of Pancreatic Islet Xenografts. The Journal of Immunology. 170(5). 2750–2758. 91 indexed citations
20.
Spicer, S. Timothy, Hong Koo Ha, Rochelle Boyd, et al.. (2001). IL-4 Therapy Prevents the Development of Proteinuria in Active Heymann Nephritis by Inhibition of Tc1 Cells. The Journal of Immunology. 167(7). 3725–3733. 28 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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