Han Hao
Impact in
- Immunology top 5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- Oncology top 10%
- Inflammatory Biomarkers in Disease Prognosis
Papers in
-
- Wnt/β-catenin signaling in development and cancer 3
- Extracellular vesicles in disease 3
- Surgery 13
- Bladder and Urothelial Cancer Treatments 11
- Urinary and Genital Oncology Studies 5
- Co-authors
- Xiaohui Sem (2 shared papers)Siew Cheng Wong (2 shared papers)Philippe Kourilsky (2 shared papers)Wing C. Wong (1 shared paper)Kok Loon Wong (1 shared paper)Liqun Zhou (13 shared papers)Yanqing Gong (5 shared papers)Peng Ding (3 shared papers)
In The Last Decade
Han Hao
43 papers receiving 1.5k citations
Han Hao's Hit Papers
Peers
Comparison fields: 5 of 123
- Immunology 626
- Oncology 288
- Neurology 81
- Cancer Research 127
- Urology 52
Countries citing papers authored by Han Hao
This map shows the geographic impact of Han Hao'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 Han Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Hao more than expected).
Fields of papers citing papers by Han Hao
This network shows the impact of papers produced by Han Hao. 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 Han Hao. The network helps show where Han Hao may publish in the future.
Co-authors
The 25 scholars most cited alongside Han Hao, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gene expression profiling reveals the defining features of the classical, intermediate, and nonclassical human monocyte subsets Hit paper breakdown → | 2011 | 806 |
| 2 | 2018 | 88 | |
| 3 | 2009 | 76 | |
| 4 | 2017 | 55 | |
| 5 | 2018 | 54 | |
| 6 | 2012 | 46 | |
| 7 | 2018 | 43 | |
| 8 | 2022 | 38 | |
| 9 | 2010 | 35 | |
| 10 | 2021 | 35 | |
| 11 | 2014 | 32 | |
| 12 | 2020 | 28 | |
| 13 | 2011 | 26 | |
| 14 | 2017 | 22 | |
| 15 | 2014 | 17 | |
| 16 | 2013 | 16 | |
| 17 | Circadian gene expression predicts patient response to neoadjuvant chemoradiation therapy for rectal cancer. | 2015 | 13 |
| 18 | 2017 | 12 | |
| 19 | 2017 | 12 | |
| 20 | 2000 | 11 |
About Han Hao
Han Hao is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (11 papers), Urinary and Genital Oncology Studies (5 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Peptidase Inhibition and Analysis (3 papers), Cancer-related molecular mechanisms research (3 papers), Urological Disorders and Treatments (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Immunology (626 citations), Oncology (288 citations), Neurology (81 citations), Cancer Research (127 citations) and Urology (52 citations). Han Hao has collaborated with scholars based in China, Singapore and Belgium. Frequent co-authors include Xiaohui Sem, Siew Cheng Wong, Philippe Kourilsky, Wing C. Wong, Kok Loon Wong, Liqun Zhou, Yanqing Gong, Peng Ding, Zhisong He and Cui-jian Zhang. Their work appears in journals such as Scientific Reports, CrystEngComm, Frontiers in Oncology, The Science of The Total Environment and Clinical Epigenetics.
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.