Hua Mao
- Molecular Biology top 10%
- Oncology top 5%
- Cancer Research top 10%
- Epidemiology top 10%
- Immunology
- Co-authors
- Mikael S. LindströmKrishna BhatAiwen JinYanping ZhangDrake G. LeBrunJingxuan YangMin LiLiang Xie
- Topics
- Ubiquitin and proteasome pathways (4 papers)Cancer-related Molecular Pathways (4 papers)Advanced biosensing and bioanalysis techniques (4 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Hua Mao
48 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 994
- Oncology 529
- Cancer Research 285
- Epidemiology 273
- Immunology 213
Countries citing papers authored by Hua Mao
This map shows the geographic impact of Hua Mao'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 Hua Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Mao more than expected).
Fields of papers citing papers by Hua Mao
This network shows the impact of papers produced by Hua Mao. 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 Hua Mao. The network helps show where Hua Mao may publish in the future.
Co-authorship network of co-authors of Hua Mao
This figure shows the co-authorship network connecting the top 25 collaborators of Hua Mao. A scholar is included among the top collaborators of Hua Mao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hua Mao. Hua Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | Silencing UBE4B induces nasopharyngeal carcinoma apoptosis through the activation of caspase3 and p53 | 2 |
| 6 | Therapeutic effect of protease-activated receptor 2 agonist SLIGRL-NH2 on loperamide-induced Sprague-Dawley rat constipation model and the related mechanism | 2 |
| 7 | 16 | |
| 8 | 50 | |
| 9 | 72 | |
| 10 | 208 | |
| 11 | 36 | |
| 12 | 170 | |
| 13 | 5 | |
| 14 | 10 | |
| 15 | 163 | |
| 16 | 191 | |
| 17 | 23 | |
| 18 | [Predictive significance of serum 90K/Mac-2BP on chemotherapy response in non-Hodgkin's lymphoma]. | 5 |
| 19 | 6 | |
| 20 | A PRELIMINARY INVESTIGATION ON THE APPLICATION OF USING T-S DIAGRAMS FOR A QUANTITATIVE ANALYSIS OF THE WATERMASSES IN THE SHALLOW WATER AREA | 33 |
About Hua Mao
Hua Mao is a scholar working on Molecular Biology, Bioengineering and Cancer Research, having authored 52 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Cancer-related Molecular Pathways (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). The work is most often cited by research in Oncology (529 citations), Cancer Research (285 citations) and Molecular Biology (994 citations). Hua Mao has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Mikael S. Lindström, Krishna Bhat, Aiwen Jin, Yanping Zhang, Drake G. LeBrun, Jingxuan Yang, Min Li, Liang Xie, Xinchun Pi and Robert W. Schnepp. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.
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.