Tian Fu

539 total citations
16 papers, 336 citations indexed

About

Tian Fu is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tian Fu has authored 16 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tian Fu's work include Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers) and Genetic factors in colorectal cancer (2 papers). Tian Fu is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers) and Genetic factors in colorectal cancer (2 papers). Tian Fu collaborates with scholars based in China, Canada and Sweden. Tian Fu's co-authors include Yong Lin, Min Li, Shenghua Jiang, Wei Wu, Wei Cao, Congcong Qi, Bing Liu, Ming Yan, Rong Biaoxue and Wenlong Gao and has published in prestigious journals such as Scientific Reports, Medicine and Biomedicine & Pharmacotherapy.

In The Last Decade

Tian Fu

14 papers receiving 332 citations

Peers

Tian Fu
Pei Wan China
Tian Fu
Citations per year, relative to Tian Fu Tian Fu (= 1×) peers Pei Wan

Countries citing papers authored by Tian Fu

Since Specialization
Citations

This map shows the geographic impact of Tian Fu'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 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 more than expected).

Fields of papers citing papers by Tian Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tian Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Tian Fu. A scholar is included among the top collaborators of Tian Fu 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. Tian Fu 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
1.
Peng, Lina, et al.. (2025). Roles of β‑catenin protein in non‑small cell lung cancer (Review). Oncology Letters. 30(6). 1–11.
2.
Li, Qian, et al.. (2025). Pulmonary nocardiosis with hilar mass misdiagnosed as lung cancer: A case report. Medicine. 104(20). e42524–e42524.
3.
Chen, Jie, Tian Fu, Jianhui Zhao, et al.. (2024). Exposure to air pollution increases susceptibility to ulcerative colitis through epigenetic alterations in CXCR2 and MHC class III region. EBioMedicine. 110. 105443–105443. 8 indexed citations
4.
Biaoxue, Rong, Tian Fu, Wenlong Gao, et al.. (2020). <p>Reduced Serum Concentration of CC16 Is Associated with Severity of Chronic Obstructive Pulmonary Disease and Contributes to the Diagnosis and Assessment of the Disease</p>. International Journal of COPD. Volume 15. 461–470. 21 indexed citations
5.
Jiang, Shenghua, et al.. (2020). Clinical Characteristics of Infections Caused by Streptococcus Anginosus Group. Scientific Reports. 10(1). 9032–9032. 72 indexed citations
6.
Liu, Yan, Helong Zhang, Jiazhuan Mei, et al.. (2017). Primary mucinous adenocarcinoma of the lung: A case report and review of the literature. Oncology Letters. 14(3). 3701–3704. 8 indexed citations
7.
Qi, Congcong, et al.. (2017). Increased HSP27 correlates with malignant biological behavior of non-small cell lung cancer and predicts patient’s survival. Scientific Reports. 7(1). 13807–13807. 41 indexed citations
8.
Fu, Tian, et al.. (2017). Ghrelin Ameliorates Asthma by Inhibiting Endoplasmic Reticulum Stress. The American Journal of the Medical Sciences. 354(6). 617–625. 16 indexed citations
9.
10.
Zhang, Yan, Yanqun Zhang, Tian Fu, et al.. (2016). The microRNA-635 suppresses tumorigenesis in non-small cell lung cancer. Biomedicine & Pharmacotherapy. 84. 1274–1281. 24 indexed citations
11.
Cao, Wei, Ming Yan, Tian Fu, et al.. (2016). [Multiregion sequencing reveals intratumor heterogeneity in esophageal squamous cell carcinoma].. PubMed. 38(9). 660–6. 1 indexed citations
12.
Biaoxue, Rong, Cai Xiguang, Hua Liu, Tian Fu, & Wenlong Gao. (2016). Increased Level of Annexin A1 in Bronchoalveolar Lavage Fluid as a Potential Diagnostic Indicator for Lung Cancer. The International Journal of Biological Markers. 32(1). 132–140. 13 indexed citations
13.
Wu, Wei, Rodrigo Juliani Siqueira Dalmolin, Ming Yan, et al.. (2015). Prediction of long noncoding RNA functions with co-expression network in esophageal squamous cell carcinoma. BMC Cancer. 15(1). 168–168. 54 indexed citations
14.
Han, Liping, et al.. (2015). MicroRNA-138 negatively regulates non-small cell lung cancer cells through the interaction with cyclin D3. Tumor Biology. 37(1). 291–298. 30 indexed citations
15.
Wang, Lei, et al.. (2014). Association of the XRCC1 c.1178G>A Genetic Polymorphism with Lung Cancer Risk in Chinese. Asian Pacific Journal of Cancer Prevention. 15(9). 4095–4099. 2 indexed citations
16.
Cao, Wei, Wei Wu, Xiaobing Chen, et al.. (2013). Integrated Analysis of Long Noncoding RNA and Coding RNA Expression in Esophageal Squamous Cell Carcinoma. International Journal of Genomics. 2013. 1–10. 38 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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