Haigang Li
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 4
- Cancer, Hypoxia, and Metabolism 4
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- Signaling Pathways in Disease 5
- Angiogenesis and VEGF in Cancer 4
- Cancer-related gene regulation 3
- Connective Tissue Growth Factor Research 3
- TGF-β signaling in diseases 3
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- Peptidase Inhibition and Analysis 5
- Co-authors
- Zhiquan HuangZhang YonChao PengQing WangWei-Liang ChenHaifeng LiWei‐liang ChenYu Zhou
- Journals
- PLoS ONE (1 paper)Biochemical and Biophysical Research Communications (1 paper)Sensors and Actuators B Chemical (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Haigang Li
38 papers receiving 890 citations
Peers
Comparison fields: 5 of 105
- Cancer Research 363
- Molecular Biology 601
- Oncology 171
- Otorhinolaryngology 18
- Endocrinology 19
Countries citing papers authored by Haigang Li
This map shows the geographic impact of Haigang Li'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 Haigang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haigang Li more than expected).
Fields of papers citing papers by Haigang Li
This network shows the impact of papers produced by Haigang Li. 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 Haigang Li. The network helps show where Haigang Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Haigang Li, 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 | 2025 | 0 | |
| 2 | 2024 | 9 | |
| 3 | 2022 | 8 | |
| 4 | 2020 | 0 | |
| 5 | 2019 | 77 | |
| 6 | 2018 | 1 | |
| 7 | 2018 | 22 | |
| 8 | 2018 | 12 | |
| 9 | 2015 | 2 | |
| 10 | 2014 | 5 | |
| 11 | 2014 | 27 | |
| 12 | 2014 | 18 | |
| 13 | 2014 | 10 | |
| 14 | 2011 | 22 | |
| 15 | 2011 | 14 | |
| 16 | 2009 | 28 | |
| 17 | 2008 | 19 | |
| 18 | [The inhibitory effect of human endostatin gene on tumor growth of tongue squamous cell carcinoma]. | 2004 | 1 |
| 19 | [Expression of inducible nitric oxide synthase mRNA in squamous cell carcinoma of tongue]. | 2002 | 6 |
| 20 | Expression of nitric oxide synthase and its clinical significance in hepatic cellular carcinoma | 2001 | 1 |
About Haigang Li
Haigang Li is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 42 papers that have together received 896 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (5 papers), Signaling Pathways in Disease (5 papers), Angiogenesis and VEGF in Cancer (4 papers), Cancer-related molecular mechanisms research (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cancer-related gene regulation (3 papers), Connective Tissue Growth Factor Research (3 papers) and TGF-β signaling in diseases (3 papers). The work is most often cited by research in Cancer Research (363 citations), Molecular Biology (601 citations) and Oncology (171 citations). Haigang Li has collaborated with scholars based in China and United States. Frequent co-authors include Zhiquan Huang, Zhang Yon, Chao Peng, Qing Wang, Wei-Liang Chen, Haifeng Li, Wei‐liang Chen, Yu Zhou, Xiaohui Zhao and Yadong Song. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Sensors and Actuators B Chemical.
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.