In‐Gu Do
Impact in
- Oncology top 2%
- HER2/EGFR in Cancer Research
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
- Oncology 28
- HER2/EGFR in Cancer Research 10
- Colorectal Cancer Treatments and Studies 6
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- Gastric Cancer Management and Outcomes 10
- Lung Cancer Treatments and Mutations 6
- Sarcoma Diagnosis and Treatment 5
- Co-authors
- Kyoung‐Mee Kim (17 shared papers)Chang Ohk Sung (9 shared papers)Won Ki Kang (14 shared papers)Duk‐Soo Bae (13 shared papers)Jeeyun Lee (15 shared papers)Jeong‐Won Lee (12 shared papers)Chel Hun Choi (11 shared papers)Byoung‐Gie Kim (11 shared papers)
- Journals
- Oncotarget (8 papers)PLoS ONE (5 papers)Anticancer Research (4 papers)Gynecologic Oncology (4 papers)Modern Pathology (4 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
In‐Gu Do
96 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 91
- Oncology 909
- Cancer Research 419
- Pathology and Forensic Medicine 347
- Pulmonary and Respiratory Medicine 586
- Gastroenterology 92
Countries citing papers authored by In‐Gu Do
This map shows the geographic impact of In‐Gu Do'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 In‐Gu Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In‐Gu Do more than expected).
Fields of papers citing papers by In‐Gu Do
This network shows the impact of papers produced by In‐Gu Do. 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 In‐Gu Do. The network helps show where In‐Gu Do may publish in the future.
Co-authors
The 25 scholars most cited alongside In‐Gu Do, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 110 | |
| 2 | 2009 | 97 | |
| 3 | 2014 | 97 | |
| 4 | 2013 | 91 | |
| 5 | 2012 | 89 | |
| 6 | 2008 | 87 | |
| 7 | 2011 | 86 | |
| 8 | 2012 | 82 | |
| 9 | 2011 | 79 | |
| 10 | 2012 | 74 | |
| 11 | 2010 | 73 | |
| 12 | 2012 | 69 | |
| 13 | 2015 | 61 | |
| 14 | 2013 | 60 | |
| 15 | 2011 | 59 | |
| 16 | 2012 | 58 | |
| 17 | 2016 | 56 | |
| 18 | 2011 | 52 | |
| 19 | 2015 | 45 | |
| 20 | 2014 | 41 |
About In‐Gu Do
In‐Gu Do is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Pathology and Forensic Medicine and Cancer Research, having authored 100 papers that have together received 2.7k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (10 papers), Gastric Cancer Management and Outcomes (10 papers), Genetic factors in colorectal cancer (7 papers), Colorectal Cancer Treatments and Studies (6 papers), Gastrointestinal Tumor Research and Treatment (6 papers), Lung Cancer Treatments and Mutations (6 papers), Sarcoma Diagnosis and Treatment (5 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Oncology (909 citations), Cancer Research (419 citations), Pathology and Forensic Medicine (347 citations), Pulmonary and Respiratory Medicine (586 citations) and Gastroenterology (92 citations). In‐Gu Do has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Kyoung‐Mee Kim, Chang Ohk Sung, Won Ki Kang, Duk‐Soo Bae, Jeeyun Lee, Jeong‐Won Lee, Chel Hun Choi, Byoung‐Gie Kim, Tae‐Joong Kim and So Young Kang. Their work appears in journals such as Oncotarget, PLoS ONE, Anticancer Research, Gynecologic Oncology and Modern Pathology.
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.