Tianyun Fu
- Molecular Biology
- Reproductive Medicine top 5%
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence
- Cardiology and Cardiovascular Medicine
- Co-authors
- Hongyan ChengShiying HaoModi LiuXuefeng B. LingYuming LiChunqing ZhuMinjie XiaDevore S Culver
- Topics
- Ovarian cancer diagnosis and treatment (5 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)Cancer Research and Treatments (3 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Tianyun Fu
18 papers receiving 447 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 134
- Reproductive Medicine 104
- Radiology, Nuclear Medicine and Imaging 96
- Artificial Intelligence 71
- Cardiology and Cardiovascular Medicine 68
Countries citing papers authored by Tianyun Fu
This map shows the geographic impact of Tianyun 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 Tianyun Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianyun Fu more than expected).
Fields of papers citing papers by Tianyun Fu
This network shows the impact of papers produced by Tianyun 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 Tianyun Fu. The network helps show where Tianyun Fu may publish in the future.
Co-authorship network of co-authors of Tianyun Fu
This figure shows the co-authorship network connecting the top 25 collaborators of Tianyun Fu. A scholar is included among the top collaborators of Tianyun 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 Tianyun Fu. Tianyun Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 171 | |
| 5 | 62 | |
| 6 | 13 | |
| 7 | 38 | |
| 8 | 20 | |
| 9 | 70 | |
| 10 | [Measurement of serum human epididymis secretory protein 4 combined with CA125 assay in differential diagnosis of endometriosis cyst and ovarian benign and malignant tumors]. | 12 |
| 11 | Screening for genes associated with ovarian cancer prognosis. | 1 |
| 12 | [The values of serum human epididymis secretory protein 4 and CA(125) assay in the diagnosis of ovarian malignancy]. | 15 |
| 13 | 17 | |
| 14 | 3 | |
| 15 | 10 | |
| 16 | [Induction of T cell responses against autologous ovarian cancer by anti-idiotype minibody-pulsed dendritic cells]. | 1 |
| 17 | [Human pituitary tumor transforming gene 1 expression in ovarian carcinoma and its clinical significance]. | 0 |
| 18 | [Establishment and biological characteristics of an immortalized human ovarian sarcomatoid carcinoma cell line BUPH:OVSC-2]. | 1 |
| 19 | 6 | |
| 20 | Generation and characterization of three monoclonal antibodies to human ovarian epithelial adenocarcinomas. | 9 |
About Tianyun Fu
Tianyun Fu is a scholar working on Reproductive Medicine, Biotechnology and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 458 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Health Informatics (31 citations), Health Information Management (58 citations) and Reproductive Medicine (104 citations). Tianyun Fu has collaborated with scholars based in China and United States. Frequent co-authors include Hongyan Cheng, Shiying Hao, Modi Liu, Xuefeng B. Ling, Yuming Li, Chunqing Zhu, Minjie Xia, Devore S Culver, Bo Jin and Shaun T Alfreds. Their work appears in journals such as Journal of Medical Internet Research, Remote Sensing and Gynecologic Oncology.
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.