Hua Guo
- Oncology top 5%
- HER2/EGFR in Cancer Research 10
- Cancer Immunotherapy and Biomarkers 5
- Cancer Cells and Metastasis 5
- Cancer Research top 5%
- Breast Cancer Treatment Studies 7
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer 3
- Biophysics top 5%
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- Photoacoustic and Ultrasonic Imaging 6
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- Breast Lesions and Carcinomas 5
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- Microtubule and mitosis dynamics 4
- Co-authors
- Dihua YuAyşegül A. ŞahinSiyuan ZhangGabriel N. HortobágyiFrancisco J. EstevaPing LiWen-Chien HuangZhaoxi Ding
- Journals
- Nature Medicine (1 paper)SHILAP Revista de lepidopterología (1 paper)Cancer Cell (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Hua Guo
66 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 116
- Oncology 840
- Cancer Research 315
- Molecular Biology 1.3k
- Radiology, Nuclear Medicine and Imaging 383
- Biophysics 92
Countries citing papers authored by Hua Guo
This map shows the geographic impact of Hua Guo'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 Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Guo more than expected).
Fields of papers citing papers by Hua Guo
This network shows the impact of papers produced by Hua Guo. 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 Guo. The network helps show where Hua Guo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hua Guo, 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 | 8 | |
| 2 | 2025 | 9 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 5 | |
| 9 | 2021 | 6 | |
| 10 | 2021 | 3 | |
| 11 | 2020 | 1 | |
| 12 | 2019 | 56 | |
| 13 | 2013 | 23 | |
| 14 | 2013 | 95 | |
| 15 | [Ki-67 expression and significance of different molecular subtypes of breast invasive ductal carcinoma]. | 2013 | 2 |
| 16 | 2011 | 424 | |
| 17 | 2010 | 234 | |
| 18 | 2009 | 158 | |
| 19 | 2009 | 65 | |
| 20 | [HER2 expression and its prognostic implication in lymph node negative breast carcinoma: a Meta-analysis]. | 2005 | 5 |
About Hua Guo
Hua Guo is a scholar working on Oncology, Cancer Research and Orthopedics and Sports Medicine, having authored 69 papers that have together received 2.3k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (10 papers), Breast Cancer Treatment Studies (7 papers), Photoacoustic and Ultrasonic Imaging (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Breast Lesions and Carcinomas (5 papers), Cancer Cells and Metastasis (5 papers), Microtubule and mitosis dynamics (4 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Oncology (840 citations), Cancer Research (315 citations) and Molecular Biology (1.3k citations). Hua Guo has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Dihua Yu, Ayşegül A. Şahin, Siyuan Zhang, Gabriel N. Hortobágyi, Francisco J. Esteva, Ping Li, Wen-Chien Huang, Zhaoxi Ding, Ling‐Ming Tseng and Shau-Hsuan Li. Their work appears in journals such as Nature Medicine, SHILAP Revista de lepidopterología and Cancer Cell.
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.