Sun‐Young Kong
Impact in
- Oncology top 2%
- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
- Oncology 55
- Pancreatic and Hepatic Oncology Research 10
- HER2/EGFR in Cancer Research 7
- Co-authors
- Eun Sook Lee (35 shared papers)Hyeon‐Seok Eom (27 shared papers)Byung‐Ho Nam (11 shared papers)Virginia B. Kraus (2 shared papers)Kyong‐Ah Yoon (28 shared papers)Thomas Stäbler (2 shared papers)Woo Jin Lee (11 shared papers)So‐Youn Jung (21 shared papers)
- Journals
- Cancer Research and Treatment (14 papers)Annals of Laboratory Medicine (13 papers)Cancer Research (12 papers)Blood (8 papers)Cancer Science (7 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Sun‐Young Kong
193 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 128
- Oncology 1.1k
- Cancer Research 545
- Hepatology 277
- Hematology 379
- Geriatrics and Gerontology 60
Countries citing papers authored by Sun‐Young Kong
This map shows the geographic impact of Sun‐Young Kong'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 Sun‐Young Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun‐Young Kong more than expected).
Fields of papers citing papers by Sun‐Young Kong
This network shows the impact of papers produced by Sun‐Young Kong. 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 Sun‐Young Kong. The network helps show where Sun‐Young Kong may publish in the future.
Co-authors
The 25 scholars most cited alongside Sun‐Young Kong, 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 211 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 201 | |
| 2 | 2006 | 132 | |
| 3 | 2011 | 124 | |
| 4 | 2012 | 120 | |
| 5 | 2018 | 117 | |
| 6 | 2023 | 107 | |
| 7 | 2010 | 101 | |
| 8 | 2008 | 95 | |
| 9 | 2005 | 81 | |
| 10 | 2007 | 79 | |
| 11 | 2014 | 78 | |
| 12 | 2017 | 75 | |
| 13 | 2015 | 74 | |
| 14 | 2018 | 72 | |
| 15 | 2012 | 67 | |
| 16 | 2007 | 64 | |
| 17 | 2019 | 57 | |
| 18 | 2009 | 53 | |
| 19 | 2008 | 53 | |
| 20 | 2020 | 52 |
About Sun‐Young Kong
Sun‐Young Kong is a scholar working on Oncology, Molecular Biology, Hematology, Genetics and Cancer Research, having authored 211 papers that have together received 3.8k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (22 papers), Cancer Genomics and Diagnostics (20 papers), Multiple Myeloma Research and Treatments (15 papers), Lymphoma Diagnosis and Treatment (13 papers), Pancreatic and Hepatic Oncology Research (10 papers), Hematopoietic Stem Cell Transplantation (9 papers), Lung Cancer Treatments and Mutations (8 papers) and HER2/EGFR in Cancer Research (7 papers). The work is most often cited by research in Oncology (1.1k citations), Cancer Research (545 citations), Hepatology (277 citations), Hematology (379 citations) and Geriatrics and Gerontology (60 citations). Sun‐Young Kong has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Eun Sook Lee, Hyeon‐Seok Eom, Byung‐Ho Nam, Virginia B. Kraus, Kyong‐Ah Yoon, Thomas Stäbler, Woo Jin Lee, So‐Youn Jung, Joong‐Won Park and Jungnam Joo. Their work appears in journals such as Cancer Research and Treatment, Annals of Laboratory Medicine, Cancer Research, Blood and Cancer Science.
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.