Heng Wu
Impact in
- Oncology top 5%
- Cutaneous Melanoma Detection and Management
- CAR-T cell therapy research
- Molecular Biology top 10%
- Melanoma and MAPK Pathways
- PI3K/AKT/mTOR signaling in cancer
- Gut microbiota and health
Papers in ⓘ
-
- Protein Tyrosine Phosphatases 2
- Melanoma and MAPK Pathways 2
- Co-authors
- Frank G. Haluska (2 shared papers)Vikas Goel (2 shared papers)Hensin Tsao (1 shared paper)Guang Yang (1 shared paper)Zhonghua Chu (9 shared papers)Yujie Zeng (7 shared papers)Lu Liu (5 shared papers)Heyang Xu (5 shared papers)
- Journals
- BMC Cancer (2 papers)Frontiers in Immunology (1 paper)Journal of Investigative Dermatology (1 paper)Medical Oncology (1 paper)International Journal of Oncology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Heng Wu
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Oncology 476
- Molecular Biology 847
- Immunology 238
- Cancer Research 150
- Immunology and Allergy 45
Countries citing papers authored by Heng Wu
This map shows the geographic impact of Heng Wu'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 Heng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heng Wu more than expected).
Fields of papers citing papers by Heng Wu
This network shows the impact of papers produced by Heng Wu. 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 Heng Wu. The network helps show where Heng Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Heng Wu, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 352 | |
| 2 | 2004 | 337 | |
| 3 | 2012 | 121 | |
| 4 | 2014 | 100 | |
| 5 | 2013 | 47 | |
| 6 | 2016 | 46 | |
| 7 | 2017 | 30 | |
| 8 | 2022 | 21 | |
| 9 | 2006 | 19 | |
| 10 | 2013 | 18 | |
| 11 | 2014 | 16 | |
| 12 | Proteomic analysis identifies translationally controlled tumor protein as a mediator of phosphatase of regenerating liver-3-promoted proliferation, migration and invasion in human colon cancer cells. | 2011 | 11 |
| 13 | 2003 | 9 | |
| 14 | 2023 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2009 | 1 | |
| 20 | 2022 | 1 |
About Heng Wu
Heng Wu is a scholar working on Molecular Biology, Immunology, Pharmacology, Cancer Research and Organic Chemistry, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Synthesis of Organic Compounds (3 papers), Lung Cancer Research Studies (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Protein Tyrosine Phosphatases (2 papers), MicroRNA in disease regulation (2 papers), Melanoma and MAPK Pathways (2 papers), Synthesis and biological activity (2 papers) and Cancer, Stress, Anesthesia, and Immune Response (2 papers). The work is most often cited by research in Oncology (476 citations), Molecular Biology (847 citations), Immunology (238 citations), Cancer Research (150 citations) and Immunology and Allergy (45 citations). Heng Wu has collaborated with scholars based in China and United States. Frequent co-authors include Frank G. Haluska, Vikas Goel, Hensin Tsao, Guang Yang, Zhonghua Chu, Yujie Zeng, Lu Liu, Heyang Xu, Lai Wei and Shuang Chen. Their work appears in journals such as BMC Cancer, Frontiers in Immunology, Journal of Investigative Dermatology, Medical Oncology and International Journal of 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.