Tian-Fu Wen

477 total citations
16 papers, 361 citations indexed

About

Tian-Fu Wen is a scholar working on Oncology, Hepatology and Epidemiology. According to data from OpenAlex, Tian-Fu Wen has authored 16 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 10 papers in Hepatology and 6 papers in Epidemiology. Recurrent topics in Tian-Fu Wen's work include Inflammatory Biomarkers in Disease Prognosis (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers) and Cancer, Lipids, and Metabolism (6 papers). Tian-Fu Wen is often cited by papers focused on Inflammatory Biomarkers in Disease Prognosis (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers) and Cancer, Lipids, and Metabolism (6 papers). Tian-Fu Wen collaborates with scholars based in China, Australia and Germany. Tian-Fu Wen's co-authors include Lünan Yan, Zheng‐Rong Shi, Wentao Wang, Bo Li, Mingqing Xu, Jiayin Yang, Wei Peng, Lvnan Yan, Chuan Li and Jiayin Yang and has published in prestigious journals such as Scientific Reports, Medicine and World Journal of Gastroenterology.

In The Last Decade

Tian-Fu Wen

16 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tian-Fu Wen China 8 204 172 151 105 57 16 361
Nobuyoshi Tajiri Japan 9 114 0.6× 237 1.4× 123 0.8× 106 1.0× 79 1.4× 11 362
Meng‐Shu Hsieh Taiwan 10 135 0.7× 78 0.5× 130 0.9× 64 0.6× 91 1.6× 12 364
Hajime Aino Japan 9 64 0.3× 211 1.2× 99 0.7× 73 0.7× 110 1.9× 10 320
Hyun Yang South Korea 14 86 0.4× 238 1.4× 152 1.0× 35 0.3× 67 1.2× 40 398
Tsuyoshi Notake Japan 11 162 0.8× 99 0.6× 98 0.6× 59 0.6× 189 3.3× 73 381
Yu Noda Japan 14 176 0.9× 353 2.1× 163 1.1× 62 0.6× 165 2.9× 40 535
Masamichi Moriguchi Japan 16 201 1.0× 376 2.2× 210 1.4× 87 0.8× 285 5.0× 53 595
Takahide Yokoyama Japan 14 192 0.9× 120 0.7× 159 1.1× 36 0.3× 329 5.8× 36 502
Daisuke Miyaki Japan 15 64 0.3× 381 2.2× 282 1.9× 54 0.5× 137 2.4× 24 505
Ryusuke Yamaguchi Japan 4 126 0.6× 339 2.0× 161 1.1× 66 0.6× 234 4.1× 5 504

Countries citing papers authored by Tian-Fu Wen

Since Specialization
Citations

This map shows the geographic impact of Tian-Fu Wen'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 Tian-Fu Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tian-Fu Wen more than expected).

Fields of papers citing papers by Tian-Fu Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tian-Fu Wen. 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 Tian-Fu Wen. The network helps show where Tian-Fu Wen may publish in the future.

Co-authorship network of co-authors of Tian-Fu Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Tian-Fu Wen. A scholar is included among the top collaborators of Tian-Fu Wen 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 Tian-Fu Wen. Tian-Fu Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
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Chen, Yanyu, Chao He, Tian-Fu Wen, Lvnan Yan, & Jiayin Yang. (2020). The prognostic value of aspartate aminotransferase‐to‐lymphocyte ratio index in early‐stage hepatocellular carcinoma after hepatectomy: A propensity‐score matched analysis. Asia-Pacific Journal of Clinical Oncology. 17(5). e238–e248. 3 indexed citations
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Zheng, Zhijian, et al.. (2018). Laparoscopic spleen retains the body and tail of the pancreas resection. Annals of Translational Medicine. 6(18). 362–362. 3 indexed citations
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Zheng, Zhijian, et al.. (2018). Laparoscopic spleen retains the body and tail of the pancreas resection. ASVIDE. 5. 762–762. 2 indexed citations
7.
Li, Chuan, et al.. (2017). IQGAP1 expression in hepatocellular carcinoma predicts poor prognosis by inducing epithelial-mesenchymal transition. Translational Cancer Research. 6(3). 530–540. 2 indexed citations
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Chen, Jin, Chuan Li, Wei Peng, et al.. (2017). Changes of platelet times neutrophil to lymphocyte ratio predict BCLC stage A hepatocellular carcinoma survival. Medicine. 96(33). e7821–e7821. 7 indexed citations
11.
Li, Chuan, et al.. (2017). IQGAP1 expression in hepatocellular carcinoma predicts poor prognosis by inducing epithelial-mesenchymal transition. Translational Cancer Research. 6(3). 530–540. 6 indexed citations
12.
Li, Chuan, Tian-Fu Wen, Lünan Yan, et al.. (2015). Postoperative neutrophil-to-lymphocyte ratio plus platelet-to-lymphocyte ratio predicts the outcomes of hepatocellular carcinoma. Journal of Surgical Research. 198(1). 73–79. 54 indexed citations
13.
Peng, Wei, Chuan Li, Tian-Fu Wen, et al.. (2014). Neutrophil to lymphocyte ratio changes predict small hepatocellular carcinoma survival. Journal of Surgical Research. 192(2). 402–408. 72 indexed citations
14.
Peng, Wei, Chuan Li, Tian-Fu Wen, et al.. (2014). Prognostic value of the platelet to lymphocyte ratio change in liver cancer. Journal of Surgical Research. 194(2). 464–470. 34 indexed citations
15.
Li, Jingdong, Xiaoli Chen, Hanfeng Yang, et al.. (2010). Tumour cryoablation combined with palliative bypass surgery in the treatment of unresectable pancreatic cancer: a retrospective study of 142 patients. Postgraduate Medical Journal. 87(1024). 89–95. 28 indexed citations
16.
Shi, Zheng‐Rong, et al.. (2009). Evaluation of standard liver volume formulae for Chinese adults. World Journal of Gastroenterology. 15(32). 3462–3462. 93 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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