Fuzhong Tong

465 total citations
19 papers, 342 citations indexed

About

Fuzhong Tong is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Fuzhong Tong has authored 19 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cancer Research, 8 papers in Pathology and Forensic Medicine and 8 papers in Oncology. Recurrent topics in Fuzhong Tong's work include Breast Cancer Treatment Studies (16 papers), Breast Lesions and Carcinomas (8 papers) and Cancer Treatment and Pharmacology (5 papers). Fuzhong Tong is often cited by papers focused on Breast Cancer Treatment Studies (16 papers), Breast Lesions and Carcinomas (8 papers) and Cancer Treatment and Pharmacology (5 papers). Fuzhong Tong collaborates with scholars based in China and Switzerland. Fuzhong Tong's co-authors include Shu Wang, Fei Xie, Bo Zhou, Houpu Yang, Jiajia Guo, Miao Liu, Hongjun Liu, Siyuan Wang, Lin Cheng and Cheng Lin and has published in prestigious journals such as Cancer, Sensors and Medicine.

In The Last Decade

Fuzhong Tong

19 papers receiving 333 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fuzhong Tong China 8 187 140 122 110 58 19 342
Fei Xie China 10 220 1.2× 172 1.2× 138 1.1× 134 1.2× 69 1.2× 38 434
Houpu Yang China 10 152 0.8× 107 0.8× 103 0.8× 95 0.9× 57 1.0× 30 327
Meghan Butler United States 5 252 1.3× 136 1.0× 130 1.1× 158 1.4× 20 0.3× 7 388
Gabriela Gohla Canada 9 263 1.4× 157 1.1× 90 0.7× 60 0.5× 23 0.4× 15 363
Valerie Andrews United States 12 343 1.8× 227 1.6× 147 1.2× 223 2.0× 30 0.5× 12 510
R F Uren Australia 3 215 1.1× 170 1.2× 226 1.9× 113 1.0× 42 0.7× 4 388
Barbara M. Zonderhuis Netherlands 11 218 1.2× 145 1.0× 211 1.7× 227 2.1× 71 1.2× 27 556
Lajos Pusztai United States 5 407 2.2× 240 1.7× 201 1.6× 167 1.5× 19 0.3× 5 503
F. O’Malley Canada 6 332 1.8× 209 1.5× 223 1.8× 136 1.2× 15 0.3× 9 476
Riccardo Bussone Italy 15 293 1.6× 245 1.8× 98 0.8× 210 1.9× 30 0.5× 26 566

Countries citing papers authored by Fuzhong Tong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

19 of 19 papers shown
1.
2.
Yuan, Peng, Miao Liu, Xianan Li, et al.. (2021). Application of the ACOSOG Z0011 criteria to Chinese patients with breast cancer: a prospective study. World Journal of Surgical Oncology. 19(1). 6 indexed citations
3.
Wang, Chaobin, Fuzhong Tong, Peng Liu, et al.. (2021). Long-term follow-up results of fluorescence and blue dye guided sentinel lymph node biopsy in early breast cancer. Breast Cancer Research and Treatment. 188(2). 361–368. 18 indexed citations
4.
Yuan, Peng, Taobo Hu, Lin Cheng, et al.. (2021). Evaluating and Balancing the Risk of Breast Cancer-Specific Death and Other Cause-Specific Death in Elderly Breast Cancer Patients. Frontiers in Oncology. 11. 578880–578880. 9 indexed citations
5.
Yang, Houpu, Peng Liu, Cheng Lin, et al.. (2020). Use of high‐resolution full‐field optical coherence tomography and dynamic cell imaging for rapid intraoperative diagnosis during breast cancer surgery. Cancer. 126(S16). 3847–3856. 36 indexed citations
6.
Yang, Houpu, Miao Liu, Lin Cheng, et al.. (2020). Lymph Node Predictive Model with in Vitro Ultrasound Features for Breast Cancer Lymph Node Metastasis. Ultrasound in Medicine & Biology. 46(6). 1395–1402. 6 indexed citations
7.
Yang, Houpu, Fei Xie, Fuzhong Tong, et al.. (2019). Use of Memorial Sloan Kettering Cancer Center nomogram to guide intraoperative sentinel lymph node frozen sections in patients with early breast cancer. Journal of Surgical Oncology. 120(4). 587–592. 8 indexed citations
8.
Yang, Houpu, Lixin Zhou, Shu Wang, et al.. (2018). Retrospective analysis of concurrent docetaxel and epirubicin neoadjuvant versus adjuvant chemotherapy. Medicine. 97(40). e12690–e12690. 5 indexed citations
9.
Guo, Jiajia, Houpu Yang, Shu Wang, et al.. (2017). Comparison of sentinel lymph node biopsy guided by indocyanine green, blue dye, and their combination in breast cancer patients: a prospective cohort study. World Journal of Surgical Oncology. 15(1). 196–196. 100 indexed citations
10.
Xie, Fei, Dongjie Zhang, Cheng Lin, et al.. (2015). Intradermal microbubbles and contrast-enhanced ultrasound (CEUS) is a feasible approach for sentinel lymph node identification in early-stage breast cancer. World Journal of Surgical Oncology. 13(1). 319–319. 71 indexed citations
11.
Wang, Shu, et al.. (2014). Combination of ICG and methylene blue for mapping sentinel lymph nodes in early breast cancer patients. Zhonghua putong waike zazhi. 29(2). 119–122. 5 indexed citations
12.
Xie, Fei, Houpu Yang, Shu Wang, et al.. (2012). A Logistic Regression Model for Predicting Axillary Lymph Node Metastases in Early Breast Carcinoma Patients. Sensors. 12(7). 9936–9950. 38 indexed citations
13.
Wang, Shu, Houpu Yang, Jiajia Guo, et al.. (2011). Protein profiling predicts the response to anthracycline and taxanes based neo-adjuvant chemotherapy in breast cancer. BioChip Journal. 5(1). 32–38. 2 indexed citations
14.
Wang, Shu, Fuzhong Tong, Jiaqing Zhang, et al.. (2009). Response to neoadjuvant therapy and disease free survival in patients with triple-negative breast cancer.. PubMed. 36(2). 255–8. 27 indexed citations
15.
Tong, Fuzhong, et al.. (2008). [Clinical significance of the relationship between expression of survivin and effects of neoadjuvant chemotherapy in locally advanced breast cancer].. PubMed. 35(8). 1319–23. 2 indexed citations
16.
Zhou, Bo, et al.. (2005). [Feasibility of breast conservation surgery after neoadjuvant chemotherapy for breast cancer].. PubMed. 85(11). 769–72. 2 indexed citations
17.
Wang, Shu, et al.. (2005). [The effect of neoadjuvant chemotherapy on estrogen and progesterone receptor expression in breast carcinoma].. PubMed. 43(15). 1011–3. 1 indexed citations
18.
Tong, Fuzhong, Bo Zhou, Peng Liu, et al.. (2004). [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].. PubMed. 31(2). 205–8. 1 indexed citations
19.
Tong, Fuzhong, et al.. (2002). [Evaluation of two different regimens as neoadjuvant chemotherapy for breast cancer].. PubMed. 24(3). 303–5. 1 indexed citations

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.

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