Ki‐Tae Hwang
Impact in
- Cancer Research top 2%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Inflammatory Biomarkers in Disease Prognosis
- Cancer Cells and Metastasis
Papers in
-
- Breast Cancer Treatment Studies 48
- Protease and Inhibitor Mechanisms 3
-
- Breast Lesions and Carcinomas 4
- Co-authors
- Jong-Jin Kim (22 shared papers)Sohee Oh (16 shared papers)Wonshik Han (20 shared papers)Young A Kim (16 shared papers)Young Jun Chai (10 shared papers)Jung Kee Chung (16 shared papers)Dong‐Young Noh (6 shared papers)Jong Won Lee (9 shared papers)
- Journals
- Breast Cancer Research and Treatment (6 papers)Annals of Surgical Oncology (4 papers)Scientific Reports (3 papers)Cancers (3 papers)Cancer Research and Treatment (2 papers)
- Partner nations
- South KoreaUnited StatesItaly
In The Last Decade
Ki‐Tae Hwang
81 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 87
- Cancer Research 544
- Oncology 212
- Surgery 177
- Genetics 113
- Pathology and Forensic Medicine 65
Countries citing papers authored by Ki‐Tae Hwang
This map shows the geographic impact of Ki‐Tae Hwang'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 Ki‐Tae Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ki‐Tae Hwang more than expected).
Fields of papers citing papers by Ki‐Tae Hwang
This network shows the impact of papers produced by Ki‐Tae Hwang. 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 Ki‐Tae Hwang. The network helps show where Ki‐Tae Hwang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ki‐Tae Hwang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 134 | |
| 2 | 2008 | 92 | |
| 3 | 2017 | 82 | |
| 4 | 2009 | 74 | |
| 5 | 2017 | 65 | |
| 6 | 2006 | 57 | |
| 7 | 2012 | 54 | |
| 8 | 2011 | 52 | |
| 9 | 2008 | 40 | |
| 10 | 2012 | 40 | |
| 11 | 2008 | 38 | |
| 12 | 2009 | 29 | |
| 13 | 2012 | 29 | |
| 14 | 2019 | 23 | |
| 15 | 2021 | 23 | |
| 16 | 2020 | 22 | |
| 17 | 2020 | 22 | |
| 18 | 2017 | 21 | |
| 19 | 2017 | 20 | |
| 20 | 2018 | 20 |
About Ki‐Tae Hwang
Ki‐Tae Hwang is a scholar working on Cancer Research, Pathology and Forensic Medicine, Oncology, Pulmonary and Respiratory Medicine and Emergency Medicine, having authored 86 papers that have together received 1.4k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (48 papers), Digital Radiography and Breast Imaging (4 papers), Breast Lesions and Carcinomas (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Thyroid and Parathyroid Surgery (3 papers), Protease and Inhibitor Mechanisms (3 papers), Appendicitis Diagnosis and Management (3 papers) and Global Cancer Incidence and Screening (2 papers). The work is most often cited by research in Cancer Research (544 citations), Oncology (212 citations), Surgery (177 citations), Genetics (113 citations) and Pathology and Forensic Medicine (65 citations). Ki‐Tae Hwang has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include Jong-Jin Kim, Sohee Oh, Wonshik Han, Young A Kim, Young Jun Chai, Jung Kee Chung, Dong‐Young Noh, Jong Won Lee, Dong‐Young Noh and Hyeong‐Gon Moon. Their work appears in journals such as Breast Cancer Research and Treatment, Annals of Surgical Oncology, Scientific Reports, Cancers and Cancer Research and Treatment.
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.