Se‐Il Go
Impact in
- Oncology top 5%
- Inflammatory Biomarkers in Disease Prognosis
- Lung Cancer Research Studies
- Pancreatic and Hepatic Oncology Research
Papers in
- Oncology 19
- Lung Cancer Research Studies 7
- Inflammatory Biomarkers in Disease Prognosis 4
- Cancer Cells and Metastasis 2
- Pancreatic and Hepatic Oncology Research 2
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- Gastric Cancer Management and Outcomes 6
- Co-authors
- Gyeong‐Won Lee (35 shared papers)Myoung Hee Kang (19 shared papers)Hoon‐Gu Kim (21 shared papers)Sungwoo Park (15 shared papers)Mi Jung Park (8 shared papers)Won Sup Lee (21 shared papers)Haa‐Na Song (16 shared papers)Jung Hun Kang (25 shared papers)
- Journals
- Cancer Research and Treatment (7 papers)BMC Cancer (4 papers)International Journal of Molecular Sciences (3 papers)Supportive Care in Cancer (3 papers)Medicine (3 papers)
- Partner nations
- South KoreaUnited States
In The Last Decade
Se‐Il Go
71 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 64
- Oncology 289
- Drug Discovery 1
- Physiology 224
- Internal Medicine 20
- Pathology and Forensic Medicine 92
Countries citing papers authored by Se‐Il Go
This map shows the geographic impact of Se‐Il Go'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 Se‐Il Go with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Se‐Il Go more than expected).
Fields of papers citing papers by Se‐Il Go
This network shows the impact of papers produced by Se‐Il Go. 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 Se‐Il Go. The network helps show where Se‐Il Go may publish in the future.
Co-authors
The 25 scholars most cited alongside Se‐Il Go, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 104 | |
| 2 | 2016 | 98 | |
| 3 | 2015 | 80 | |
| 4 | 2016 | 60 | |
| 5 | 2014 | 58 | |
| 6 | 2018 | 52 | |
| 7 | 2015 | 49 | |
| 8 | 2021 | 44 | |
| 9 | 2014 | 42 | |
| 10 | 2022 | 41 | |
| 11 | 2015 | 39 | |
| 12 | 2021 | 36 | |
| 13 | 2013 | 35 | |
| 14 | 2019 | 35 | |
| 15 | 2014 | 34 | |
| 16 | 2015 | 34 | |
| 17 | 2020 | 34 | |
| 18 | 2014 | 32 | |
| 19 | 2019 | 31 | |
| 20 | 2017 | 30 |
About Se‐Il Go
Se‐Il Go is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Physiology, Surgery and Internal Medicine, having authored 72 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lung Cancer Research Studies (7 papers), Gastric Cancer Management and Outcomes (6 papers), Nutrition and Health in Aging (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Cell death mechanisms and regulation (3 papers), Cancer Cells and Metastasis (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Oncology (289 citations), Drug Discovery (1 citation), Physiology (224 citations), Internal Medicine (20 citations) and Pathology and Forensic Medicine (92 citations). Se‐Il Go has collaborated with scholars based in South Korea and United States. Frequent co-authors include Gyeong‐Won Lee, Myoung Hee Kang, Hoon‐Gu Kim, Sungwoo Park, Mi Jung Park, Won Sup Lee, Haa‐Na Song, Jung Hun Kang, Rock Bum Kim and Seok‐Hyun Kim. Their work appears in journals such as Cancer Research and Treatment, BMC Cancer, International Journal of Molecular Sciences, Supportive Care in Cancer and Medicine.
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.