Hongdo Do
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Oncology top 5%
- Colorectal Cancer Treatments and Studies
- Lung Cancer Research Studies
Papers in ⓘ
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- Renal Transplantation Outcomes and Treatments 5
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- Cancer Genomics and Diagnostics 18
- Co-authors
- Alexander Dobrovic (41 shared papers)Stephen B. Fox (8 shared papers)Paul Mitchell (4 shared papers)Stephen Q. Wong (6 shared papers)Jason Li (5 shared papers)Thomas John (8 shared papers)Thomas Mikeska (1 shared paper)Christoph Bock (1 shared paper)
- Journals
- Clinical Chemistry (6 papers)Scientific Reports (3 papers)Journal of Thoracic Oncology (2 papers)Lung Cancer (2 papers)Oncotarget (2 papers)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Hongdo Do
42 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 104
- Cancer Research 864
- Oncology 749
- Pulmonary and Respiratory Medicine 702
- Pathology and Forensic Medicine 328
- Molecular Biology 1.2k
Countries citing papers authored by Hongdo Do
This map shows the geographic impact of Hongdo 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 Hongdo Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongdo Do more than expected).
Fields of papers citing papers by Hongdo Do
This network shows the impact of papers produced by Hongdo 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 Hongdo Do. The network helps show where Hongdo Do may publish in the future.
Co-authors
The 25 scholars most cited alongside Hongdo 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 357 | |
| 2 | 2014 | 192 | |
| 3 | 2017 | 182 | |
| 4 | 2008 | 180 | |
| 5 | 2014 | 154 | |
| 6 | 2017 | 137 | |
| 7 | 2012 | 129 | |
| 8 | 2012 | 125 | |
| 9 | 2013 | 81 | |
| 10 | 2014 | 53 | |
| 11 | 2009 | 44 | |
| 12 | 2013 | 44 | |
| 13 | 2013 | 39 | |
| 14 | 2014 | 38 | |
| 15 | 2008 | 35 | |
| 16 | 2013 | 33 | |
| 17 | 2019 | 30 | |
| 18 | 2013 | 27 | |
| 19 | 2020 | 24 | |
| 20 | 2016 | 24 |
About Hongdo Do
Hongdo Do is a scholar working on Transplantation, Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology and Oncology, having authored 42 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (18 papers), Lung Cancer Treatments and Mutations (14 papers), Molecular Biology Techniques and Applications (9 papers), RNA modifications and cancer (6 papers), Epigenetics and DNA Methylation (5 papers), Renal Transplantation Outcomes and Treatments (5 papers), Colorectal Cancer Treatments and Studies (4 papers) and Lung Cancer Research Studies (4 papers). The work is most often cited by research in Cancer Research (864 citations), Oncology (749 citations), Pulmonary and Respiratory Medicine (702 citations), Pathology and Forensic Medicine (328 citations) and Molecular Biology (1.2k citations). Hongdo Do has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Alexander Dobrovic, Stephen B. Fox, Paul Mitchell, Stephen Q. Wong, Jason Li, Thomas John, Thomas Mikeska, Christoph Bock, Paul Mitchell and Grant A. McArthur. Their work appears in journals such as Clinical Chemistry, Scientific Reports, Journal of Thoracic Oncology, Lung Cancer and Oncotarget.
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.