This map shows the geographic impact of De Sen Wan'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 De Sen Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites De Sen Wan more than expected).
This network shows the impact of papers produced by De Sen Wan. 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 De Sen Wan. The network helps show where De Sen Wan may publish in the future.
Co-authorship network of co-authors of De Sen Wan
This figure shows the co-authorship network connecting the top 25 collaborators of De Sen Wan.
A scholar is included among the top collaborators of De Sen Wan 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 De Sen Wan. De Sen Wan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zhao, Ming, et al.. (2010). [Significance and prognostic factors in 84 patients with colorectal liver metastases treated with radiofrequency ablation].. PubMed. 90(23). 1587–92.1 indexed citations
5.
Zhou, Zhi, et al.. (2008). The role of half-life of carcinoembryonic antigen (CEA) in prognosis prediction of colorectal cancer patients with preoperatively elevated CEA.. PubMed. 27(6). 612–7.5 indexed citations
6.
Lin, Jun, et al.. (2008). [Smac as a predictive marker of tumor response to preoperative radiotherapy in rectal cancer].. PubMed. 27(2). 178–82.1 indexed citations
7.
Wang, Wei, Zhi Zhou, De Sen Wan, et al.. (2008). [Clinical analyses of 70 cases of multiple primary colorectal carcinoma].. PubMed. 27(5). 505–9.1 indexed citations
8.
Liang, Jun, et al.. (2007). [Correlations of c-erb-B2, EGFR, and TGF-alpha expression to recurrence of Dukes'A and B colorectal carcinoma].. PubMed. 26(6). 647–51.1 indexed citations
Wan, De Sen, Xiao Wu, Zhi Zhou, et al.. (2007). [Surgical treatment for gastrointestinal stromal tumor].. PubMed. 45(15). 1037–40.1 indexed citations
11.
Zhou, Zhi, et al.. (2006). [Multivariate regressive analysis of prognosis of liver metastases from colorectal cancer].. PubMed. 25(9). 1149–52.2 indexed citations
12.
Zhou, Zhi, et al.. (2006). [Inhibitory effect of angiogenesis inhibitor YH-16 on liver metastases from colorectal cancer].. PubMed. 25(7). 818–22.5 indexed citations
13.
Yang, Xing, et al.. (2006). [Lymphatic vessel density in Dukes' B rectal carcinoma and its correlation to prognosis].. PubMed. 25(6). 749–52.4 indexed citations
14.
Chen, Gong, et al.. (2005). [Meta-analysis of postoperative adjuvant chemotherapy for Dukes' B colorectal carcinoma].. PubMed. 24(5). 600–4.2 indexed citations
15.
Wan, De Sen, et al.. (2005). [Mapping the sentinel lymph node ex vivo and finding the micrometastasis by CK-immunostaining in carcinoma of the colon and rectum].. PubMed. 43(15). 994–7.2 indexed citations
Wan, De Sen, Changqing Zhang, Jian Shao, et al.. (2004). [Clinical significance of P53-immunohistochemistry in large slice in evaluating distal intramural spread extent in rectal cancer].. PubMed. 23(10). 1199–202.1 indexed citations
18.
Liang, Jun, De Sen Wan, Zhi Zhou, et al.. (2004). [Multivariate regression analysis of recurrence following curative surgery for colorectal cancer].. PubMed. 23(5). 564–7.10 indexed citations
19.
Zhou, Zhi, et al.. (2004). [Relationship between dihydropyrimidine dehydrogenase(DPD) activity and toxicity of 5-FU-based adjuvant chemotherapy in colorectal cancer patients].. PubMed. 23(11 Suppl). 1512–6.1 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.