Ruifa Han
Impact in
- Urology top 5%
- Urological Disorders and Treatments
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
Papers in
-
- Epigenetics and DNA Methylation 8
- Renal and related cancers 4
- Angiogenesis and VEGF in Cancer 4
- Surgery 20
- Bladder and Urothelial Cancer Treatments 15
- Urinary and Genital Oncology Studies 5
- Co-authors
- Weiyang Tao (3 shared papers)Hongchi Jiang (3 shared papers)Qi-Yin Chen (3 shared papers)Shaobin Ni (2 shared papers)Chunyang Wang (2 shared papers)Hailong Hu (5 shared papers)Yan Sun (2 shared papers)Lianxin Liu (1 shared paper)
- Journals
- Urology (3 papers)OncoTargets and Therapy (2 papers)European Urology (2 papers)Cancer Research (2 papers)Oncology Reports (2 papers)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Ruifa Han
68 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 106
- Urology 88
- Cancer Research 171
- Surgery 350
- Molecular Biology 469
- Developmental Neuroscience 28
Countries citing papers authored by Ruifa Han
This map shows the geographic impact of Ruifa Han'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 Ruifa Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruifa Han more than expected).
Fields of papers citing papers by Ruifa Han
This network shows the impact of papers produced by Ruifa Han. 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 Ruifa Han. The network helps show where Ruifa Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruifa Han, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 130 | |
| 2 | 2010 | 98 | |
| 3 | 2008 | 68 | |
| 4 | 2011 | 46 | |
| 5 | 2008 | 39 | |
| 6 | 2009 | 39 | |
| 7 | Androgen and prostatic stroma. | 2003 | 39 |
| 8 | 2015 | 36 | |
| 9 | 2014 | 35 | |
| 10 | Clinical values of AFP, GPC3 mRNA in peripheral blood for prediction of hepatocellular carcinoma recurrence following OLT: AFP, GPC3 mRNA for prediction of HCC. | 2011 | 34 |
| 11 | 2008 | 31 | |
| 12 | 2015 | 29 | |
| 13 | 2013 | 29 | |
| 14 | 2008 | 28 | |
| 15 | 2007 | 28 | |
| 16 | 2010 | 25 | |
| 17 | 2009 | 25 | |
| 18 | 2012 | 21 | |
| 19 | 2021 | 19 | |
| 20 | 2009 | 18 |
About Ruifa Han
Ruifa Han is a scholar working on Molecular Biology, Surgery, Cancer Research, Pulmonary and Respiratory Medicine and Immunology, having authored 72 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (15 papers), Epigenetics and DNA Methylation (8 papers), Immune cells in cancer (7 papers), Cancer, Hypoxia, and Metabolism (6 papers), Urinary and Genital Oncology Studies (5 papers), Renal and related cancers (4 papers), Angiogenesis and VEGF in Cancer (4 papers) and Cancer Research and Treatments (4 papers). The work is most often cited by research in Urology (88 citations), Cancer Research (171 citations), Surgery (350 citations), Molecular Biology (469 citations) and Developmental Neuroscience (28 citations). Ruifa Han has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Weiyang Tao, Hongchi Jiang, Qi-Yin Chen, Shaobin Ni, Chunyang Wang, Hailong Hu, Yan Sun, Lianxin Liu, Yuanjie Niu and Liwei Liu. Their work appears in journals such as Urology, OncoTargets and Therapy, European Urology, Cancer Research and Oncology Reports.
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.