Chen‐Hua Yan
Impact in
- Hematology top 0.2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Transplantation top 2%
Papers in
- Hematology 142
- Hematopoietic Stem Cell Transplantation 121
- Acute Myeloid Leukemia Research 71
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- Acute Lymphoblastic Leukemia research 54
- Co-authors
- Lan‐Ping Xu (166 shared papers)Xiao‐Jun Huang (167 shared papers)Yu Wang (153 shared papers)Kai‐Yan Liu (142 shared papers)Xiaohui Zhang (130 shared papers)Yu‐Hong Chen (124 shared papers)Huan Chen (97 shared papers)Feng‐Rong Wang (96 shared papers)
- Journals
- Biology of Blood and Marrow Transplantation (19 papers)Annals of Hematology (18 papers)Bone Marrow Transplantation (17 papers)Blood (12 papers)British Journal of Haematology (10 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Chen‐Hua Yan
173 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 62
- Hematology 2.4k
- Transplantation 113
- Immunology 784
- Oncology 804
- Public Health, Environmental and Occupational Health 775
Countries citing papers authored by Chen‐Hua Yan
This map shows the geographic impact of Chen‐Hua Yan'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 Chen‐Hua Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen‐Hua Yan more than expected).
Fields of papers citing papers by Chen‐Hua Yan
This network shows the impact of papers produced by Chen‐Hua Yan. 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 Chen‐Hua Yan. The network helps show where Chen‐Hua Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen‐Hua Yan, 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 183 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 243 | |
| 2 | 2012 | 236 | |
| 3 | 2017 | 115 | |
| 4 | 2013 | 108 | |
| 5 | 2016 | 85 | |
| 6 | 2017 | 77 | |
| 7 | 2013 | 77 | |
| 8 | 2021 | 65 | |
| 9 | 2017 | 60 | |
| 10 | 2013 | 51 | |
| 11 | 2020 | 51 | |
| 12 | 2017 | 49 | |
| 13 | 2019 | 48 | |
| 14 | 2015 | 47 | |
| 15 | 2018 | 47 | |
| 16 | 2015 | 46 | |
| 17 | 2016 | 46 | |
| 18 | 2020 | 39 | |
| 19 | 2019 | 39 | |
| 20 | 2016 | 39 |
About Chen‐Hua Yan
Chen‐Hua Yan is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Oncology, Immunology and Epidemiology, having authored 183 papers that have together received 3.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (121 papers), Acute Myeloid Leukemia Research (71 papers), Acute Lymphoblastic Leukemia research (54 papers), Immune Cell Function and Interaction (27 papers), Cytomegalovirus and herpesvirus research (19 papers), Polyomavirus and related diseases (14 papers), T-cell and B-cell Immunology (14 papers) and Renal Transplantation Outcomes and Treatments (10 papers). The work is most often cited by research in Hematology (2.4k citations), Transplantation (113 citations), Immunology (784 citations), Oncology (804 citations) and Public Health, Environmental and Occupational Health (775 citations). Chen‐Hua Yan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lan‐Ping Xu, Xiao‐Jun Huang, Yu Wang, Kai‐Yan Liu, Xiaohui Zhang, Yu‐Hong Chen, Huan Chen, Feng‐Rong Wang, Xiao‐Dong Mo and Wei Han. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Annals of Hematology, Bone Marrow Transplantation, Blood and British Journal of Haematology.
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.