Haolan Wang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Oncology top 10%
- Cancer-related Molecular Pathways
Papers in
-
- Cell death mechanisms and regulation 5
- RNA Interference and Gene Delivery 2
- Bacterial biofilms and quorum sensing 1
- Oncology 5
- Cancer-related Molecular Pathways 4
- Pancreatic and Hepatic Oncology Research 1
- Co-authors
- Yongheng Chen (7 shared papers)Hudie Wei (6 shared papers)Ming Guo (2 shared papers)Lingzhi Qu (3 shared papers)Ye Zhang (2 shared papers)Zhuchu Chen (2 shared papers)Longying Jiang (2 shared papers)Shuyan Dai (2 shared papers)
- Journals
- Nature Communications (2 papers)Computational and Structural Biotechnology Journal (1 paper)Signal Transduction and Targeted Therapy (1 paper)Cancer Immunology Immunotherapy (1 paper)Journal of Hematology & Oncology (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Haolan Wang
9 papers receiving 852 citations
Haolan Wang's Hit Papers
Peers
Comparison fields: 5 of 92
- Cancer Research 192
- Oncology 251
- Molecular Biology 520
- Hematology 61
- Immunology 86
Countries citing papers authored by Haolan Wang
This map shows the geographic impact of Haolan Wang'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 Haolan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haolan Wang more than expected).
Fields of papers citing papers by Haolan Wang
This network shows the impact of papers produced by Haolan Wang. 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 Haolan Wang. The network helps show where Haolan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Haolan Wang, 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 | Targeting p53 pathways: mechanisms, structures and advances in therapy Hit paper breakdown → | 2023 | 486 |
| 2 | 2021 | 208 | |
| 3 | 2021 | 76 | |
| 4 | 2023 | 58 | |
| 5 | 2021 | 16 | |
| 6 | 2023 | 8 | |
| 7 | 2025 | 4 | |
| 8 | 2024 | 4 | |
| 9 | 2025 | 1 |
About Haolan Wang
Haolan Wang is a scholar working on Molecular Biology, Oncology, Pollution, Pulmonary and Respiratory Medicine and Ecology, having authored 9 papers that have together received 861 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), Cancer-related Molecular Pathways (4 papers), RNA Interference and Gene Delivery (2 papers), interferon and immune responses (1 paper), Calpain Protease Function and Regulation (1 paper), Bacterial biofilms and quorum sensing (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Cancer Research (192 citations), Oncology (251 citations), Molecular Biology (520 citations), Hematology (61 citations) and Immunology (86 citations). Haolan Wang has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Yongheng Chen, Hudie Wei, Ming Guo, Ming Guo, Lingzhi Qu, Ye Zhang, Zhuchu Chen, Longying Jiang, Shuyan Dai and Jun Li. Their work appears in journals such as Nature Communications, Computational and Structural Biotechnology Journal, Signal Transduction and Targeted Therapy, Cancer Immunology Immunotherapy and Journal of Hematology & Oncology.
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.