Yaping Tian
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Epidemiology 12
- Cervical Cancer and HPV Research 3
- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Zi Wang (1 shared paper)Xinyu Wen (7 shared papers)Xingwang Jia (3 shared papers)Qiyu Sun (2 shared papers)Xinyu Wen (2 shared papers)Brian Tomlinson (1 shared paper)Yu Wang (1 shared paper)Yuan Zhuang (1 shared paper)
- Journals
- Clinica Chimica Acta (5 papers)BioMed Research International (3 papers)PLoS ONE (3 papers)Oncotarget (2 papers)BMC Medical Informatics and Decision Making (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yaping Tian
83 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 135
- Hepatology 46
- Cancer Research 69
- Immunology 94
- Molecular Biology 295
- Epidemiology 129
Countries citing papers authored by Yaping Tian
This map shows the geographic impact of Yaping Tian'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 Yaping Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaping Tian more than expected).
Fields of papers citing papers by Yaping Tian
This network shows the impact of papers produced by Yaping Tian. 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 Yaping Tian. The network helps show where Yaping Tian may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaping Tian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 77 | |
| 2 | 2014 | 56 | |
| 3 | 2012 | 55 | |
| 4 | 2014 | 54 | |
| 5 | 2023 | 53 | |
| 6 | 2019 | 44 | |
| 7 | 2020 | 42 | |
| 8 | 2013 | 40 | |
| 9 | 2015 | 30 | |
| 10 | 2017 | 26 | |
| 11 | 2017 | 25 | |
| 12 | 2013 | 22 | |
| 13 | 2018 | 22 | |
| 14 | 2018 | 21 | |
| 15 | 2015 | 20 | |
| 16 | 2023 | 20 | |
| 17 | 2015 | 19 | |
| 18 | 2018 | 19 | |
| 19 | Association between the interleukin-6 gene -572G/C and -597G/A polymorphisms and coronary heart disease in the Han Chinese. | 2010 | 19 |
| 20 | 2017 | 19 |
About Yaping Tian
Yaping Tian is a scholar working on Molecular Biology, Epidemiology, Immunology, Oncology and Physiology, having authored 88 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (3 papers), Cervical Cancer and HPV Research (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Renal Diseases and Glomerulopathies (3 papers), Nitric Oxide and Endothelin Effects (3 papers), Immune cells in cancer (3 papers), Systemic Lupus Erythematosus Research (3 papers) and Ocular Diseases and Behçet’s Syndrome (3 papers). The work is most often cited by research in Hepatology (46 citations), Cancer Research (69 citations), Immunology (94 citations), Molecular Biology (295 citations) and Epidemiology (129 citations). Yaping Tian has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zi Wang, Xinyu Wen, Xingwang Jia, Qiyu Sun, Xinyu Wen, Brian Tomlinson, Yu Wang, Yuan Zhuang, Zhiqiang Sun and G. Neil Thomas. Their work appears in journals such as Clinica Chimica Acta, BioMed Research International, PLoS ONE, Oncotarget and BMC Medical Informatics and Decision Making.
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.