Fangyu Kan
Impact in
- Urology top 1%
- Urinary Bladder and Prostate Research
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
Papers in
- Hematology 12
- Hematopoietic Stem Cell Transplantation 12
- Urology 9
- Urinary Bladder and Prostate Research 9
- Co-authors
- Mary Eapen (10 shared papers)Steven Siegel (9 shared papers)Karen Noblett (7 shared papers)Jeffrey Mangel (6 shared papers)Craig V. Comiter (6 shared papers)Tomas L. Griebling (6 shared papers)Jason Bennett (4 shared papers)Samuel Zylstra (5 shared papers)
- Journals
- Blood (7 papers)Biology of Blood and Marrow Transplantation (5 papers)Neurourology and Urodynamics (3 papers)The Journal of Urology (3 papers)Urology (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Fangyu Kan
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 59
- Urology 424
- Hematology 648
- Transplantation 108
- Rheumatology 413
- Immunology 283
Countries citing papers authored by Fangyu Kan
This map shows the geographic impact of Fangyu Kan'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 Fangyu Kan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangyu Kan more than expected).
Fields of papers citing papers by Fangyu Kan
This network shows the impact of papers produced by Fangyu Kan. 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 Fangyu Kan. The network helps show where Fangyu Kan may publish in the future.
Co-authors
The 25 scholars most cited alongside Fangyu Kan, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 253 | |
| 2 | 2014 | 161 | |
| 3 | 2012 | 121 | |
| 4 | 2017 | 114 | |
| 5 | 2016 | 91 | |
| 6 | 2013 | 88 | |
| 7 | 2012 | 84 | |
| 8 | 2014 | 74 | |
| 9 | 2010 | 39 | |
| 10 | 2007 | 31 | |
| 11 | 2011 | 25 | |
| 12 | 2009 | 22 | |
| 13 | 2009 | 20 | |
| 14 | 2017 | 15 | |
| 15 | 2019 | 10 | |
| 16 | 2018 | 6 | |
| 17 | 2010 | 5 | |
| 18 | 2010 | 2 | |
| 19 | 2016 | 1 | |
| 20 | 2010 | 1 |
About Fangyu Kan
Fangyu Kan is a scholar working on Hematology, Urology, Rheumatology, Immunology and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (12 papers), Urinary Bladder and Prostate Research (9 papers), Pelvic floor disorders treatments (9 papers), T-cell and B-cell Immunology (5 papers), Acute Lymphoblastic Leukemia research (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Sexual function and dysfunction studies (3 papers) and Renal Transplantation Outcomes and Treatments (3 papers). The work is most often cited by research in Urology (424 citations), Hematology (648 citations), Transplantation (108 citations), Rheumatology (413 citations) and Immunology (283 citations). Fangyu Kan has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Mary Eapen, Steven Siegel, Karen Noblett, Jeffrey Mangel, Craig V. Comiter, Tomas L. Griebling, Jason Bennett, Samuel Zylstra, Erin T. Bird and Suzette E. Sutherland. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Neurourology and Urodynamics, The Journal of Urology and Urology.
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.