Hao‐Wen Sim
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
-
- Renal cell carcinoma treatment 11
- Brain Metastases and Treatment 5
- Genetics 20
- Glioma Diagnosis and Treatment 20
- Co-authors
- Jennifer J. Knox (14 shared papers)Mustafa Khasraw (9 shared papers)Ann McCormack (3 shared papers)Warren Mason (3 shared papers)Michael E. Buckland (10 shared papers)Evanthia Galanis (1 shared paper)Erin R. Morgan (1 shared paper)Kimberley L. Alexander (6 shared papers)
- Journals
- Journal of Clinical Oncology (21 papers)Cancer Medicine (4 papers)Neuro-Oncology (4 papers)Cancers (3 papers)Cochrane Database of Systematic Reviews (2 papers)
- Partner nations
- AustraliaCanadaUnited States
In The Last Decade
Hao‐Wen Sim
69 papers receiving 976 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 222
- Genetics 141
- Oncology 258
- Hepatology 64
- Pulmonary and Respiratory Medicine 263
Countries citing papers authored by Hao‐Wen Sim
This map shows the geographic impact of Hao‐Wen Sim'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 Hao‐Wen Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao‐Wen Sim more than expected).
Fields of papers citing papers by Hao‐Wen Sim
This network shows the impact of papers produced by Hao‐Wen Sim. 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 Hao‐Wen Sim. The network helps show where Hao‐Wen Sim may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao‐Wen Sim, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 152 | |
| 2 | 2021 | 82 | |
| 3 | 2021 | 58 | |
| 4 | 2018 | 56 | |
| 5 | 2016 | 54 | |
| 6 | 2020 | 45 | |
| 7 | 2020 | 38 | |
| 8 | 2022 | 36 | |
| 9 | 2017 | 33 | |
| 10 | 2020 | 32 | |
| 11 | 2017 | 28 | |
| 12 | 2020 | 27 | |
| 13 | 2017 | 25 | |
| 14 | 2019 | 22 | |
| 15 | 2018 | 22 | |
| 16 | 2020 | 19 | |
| 17 | 2020 | 18 | |
| 18 | 2018 | 14 | |
| 19 | 2019 | 11 | |
| 20 | 2020 | 11 |
About Hao‐Wen Sim
Hao‐Wen Sim is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Oncology, Cancer Research and Surgery, having authored 76 papers that have together received 987 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (20 papers), Renal cell carcinoma treatment (11 papers), Cancer Genomics and Diagnostics (9 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Brain Metastases and Treatment (5 papers), Esophageal Cancer Research and Treatment (5 papers) and Pancreatic and Hepatic Oncology Research (5 papers). The work is most often cited by research in Cancer Research (222 citations), Genetics (141 citations), Oncology (258 citations), Hepatology (64 citations) and Pulmonary and Respiratory Medicine (263 citations). Hao‐Wen Sim has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Jennifer J. Knox, Mustafa Khasraw, Ann McCormack, Warren Mason, Michael E. Buckland, Evanthia Galanis, Erin R. Morgan, Kimberley L. Alexander, Brindha Shivalingam and Joanne Sy. Their work appears in journals such as Journal of Clinical Oncology, Cancer Medicine, Neuro-Oncology, Cancers and Cochrane Database of Systematic Reviews.
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.