Hin Ching Lo
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
Papers in
- Oncology 6
- Cancer Cells and Metastasis 5
- Cancer Immunotherapy and Biomarkers 2
- Cancer-related Molecular Pathways 1
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- Cancer Genomics and Diagnostics 3
- Co-authors
- Xiang H.-F. Zhang (4 shared papers)Ik Sun Kim (3 shared papers)Hai Wang (1 shared paper)Lacey E. Dobrolecki (1 shared paper)Kuanwei Sheng (1 shared paper)Xiaomei Zhang (1 shared paper)Michael A. Mancini (1 shared paper)Nagireddy Putluri (1 shared paper)
- Journals
- Science China Life Sciences (1 paper)iScience (1 paper)Nature Cancer (1 paper)Cancer Research (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Hin Ching Lo
7 papers receiving 873 citations
Hin Ching Lo's Hit Papers
Peers
Comparison fields: 5 of 67
- Oncology 507
- Cancer Research 195
- Immunology 280
- Hepatology 42
- Pulmonary and Respiratory Medicine 125
Countries citing papers authored by Hin Ching Lo
This map shows the geographic impact of Hin Ching Lo'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 Hin Ching Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hin Ching Lo more than expected).
Fields of papers citing papers by Hin Ching Lo
This network shows the impact of papers produced by Hin Ching Lo. 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 Hin Ching Lo. The network helps show where Hin Ching Lo may publish in the future.
Co-authors
The 25 scholars most cited alongside Hin Ching Lo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Mutual regulation of tumour vessel normalization and immunostimulatory reprogramming Hit paper breakdown → | 2017 | 613 |
| 2 | 2018 | 156 | |
| 3 | 2020 | 98 | |
| 4 | 2020 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2017 | 2 | |
| 7 | 2025 | 2 |
About Hin Ching Lo
Hin Ching Lo is a scholar working on Oncology, Cancer Research, Molecular Biology, Immunology and Surgery, having authored 7 papers that have together received 876 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), Cancer Genomics and Diagnostics (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer-related Molecular Pathways (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Radiopharmaceutical Chemistry and Applications (1 paper), 3D Printing in Biomedical Research (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Oncology (507 citations), Cancer Research (195 citations), Immunology (280 citations), Hepatology (42 citations) and Pulmonary and Respiratory Medicine (125 citations). Hin Ching Lo has collaborated with scholars based in United States and Italy. Frequent co-authors include Xiang H.-F. Zhang, Ik Sun Kim, Hai Wang, Lacey E. Dobrolecki, Kuanwei Sheng, Xiaomei Zhang, Michael A. Mancini, Nagireddy Putluri, William K. Decker and Michael T. Lewis. Their work appears in journals such as Science China Life Sciences, iScience, Nature Cancer, Cancer Research and The Journal of Immunology.
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.