Fuzhong Tong
- Cancer Research top 10%
- Pathology and Forensic Medicine top 10%
- Oncology
- Surgery
- Biomedical Engineering
- Co-authors
- Shu WangFei XieBo ZhouHoupu YangJiajia GuoMiao LiuSiyuan WangHongjun Liu
- Topics
- Breast Cancer Treatment Studies (16 papers)Breast Lesions and Carcinomas (8 papers)Cancer Treatment and Pharmacology (5 papers)
- Partner nations
- ChinaSwitzerland
In The Last Decade
Fuzhong Tong
19 papers receiving 333 citations
Peers
Comparison fields: 5 of 51
- Cancer Research 187
- Pathology and Forensic Medicine 140
- Oncology 122
- Surgery 110
- Biomedical Engineering 58
Countries citing papers authored by Fuzhong Tong
This map shows the geographic impact of Fuzhong Tong'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 Fuzhong Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuzhong Tong more than expected).
Fields of papers citing papers by Fuzhong Tong
This network shows the impact of papers produced by Fuzhong Tong. 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 Fuzhong Tong. The network helps show where Fuzhong Tong may publish in the future.
Co-authorship network of co-authors of Fuzhong Tong
This figure shows the co-authorship network connecting the top 25 collaborators of Fuzhong Tong. A scholar is included among the top collaborators of Fuzhong Tong 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 Fuzhong Tong. Fuzhong Tong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 18 | |
| 4 | 9 | |
| 5 | 36 | |
| 6 | 6 | |
| 7 | 8 | |
| 8 | 5 | |
| 9 | 100 | |
| 10 | 71 | |
| 11 | 5 | |
| 12 | 38 | |
| 13 | 2 | |
| 14 | Response to neoadjuvant therapy and disease free survival in patients with triple-negative breast cancer. | 27 |
| 15 | [Clinical significance of the relationship between expression of survivin and effects of neoadjuvant chemotherapy in locally advanced breast cancer]. | 2 |
| 16 | [Feasibility of breast conservation surgery after neoadjuvant chemotherapy for breast cancer]. | 2 |
| 17 | [The effect of neoadjuvant chemotherapy on estrogen and progesterone receptor expression in breast carcinoma]. | 1 |
| 18 | [Clinical evaluation of effects from neoadjuvant chemotherapy with epirubicin plus paclitaxel in cases of locally advanced breast cancer--comparative study of treatment with 2 and 4 cycles]. | 1 |
| 19 | [Evaluation of two different regimens as neoadjuvant chemotherapy for breast cancer]. | 1 |
About Fuzhong Tong
Fuzhong Tong is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 19 papers that have together received 342 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (16 papers), Breast Lesions and Carcinomas (8 papers) and Cancer Treatment and Pharmacology (5 papers). The work is most often cited by research in Cancer Research (187 citations), Pathology and Forensic Medicine (140 citations) and Oncology (122 citations). Fuzhong Tong has collaborated with scholars based in China and Switzerland. Frequent co-authors include Shu Wang, Fei Xie, Bo Zhou, Houpu Yang, Jiajia Guo, Miao Liu, Siyuan Wang, Hongjun Liu, Cheng Lin and Lin Cheng. Their work appears in journals such as Cancer, Sensors and Medicine.
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.