W Han
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Transplantation top 10%
Papers in
-
- Hematopoietic Stem Cell Transplantation 9
- Acute Myeloid Leukemia Research 2
- Oncology 8
- Polyomavirus and related diseases 4
- Inflammatory Biomarkers in Disease Prognosis 1
- Co-authors
- Xiao‐Jun Huang (7 shared papers)Lan‐Ping Xu (5 shared papers)Jinjing Wang (2 shared papers)Lars Eckmann (1 shared paper)Pyeung-Hyeun Kim (1 shared paper)Martin F. Kagnoff (1 shared paper)Y Wang (2 shared papers)Yuqian Sun (2 shared papers)
- Journals
- Bone Marrow Transplantation (6 papers)Clinical Microbiology and Infection (2 papers)CHEST Journal (1 paper)Transplantation Proceedings (1 paper)Transplant Infectious Disease (1 paper)
- Partner nations
- ChinaSouth Korea
In The Last Decade
W Han
14 papers receiving 428 citations
Peers
Comparison fields: 5 of 49
- Hematology 302
- Transplantation 17
- Immunology 139
- Genetics 55
- Oncology 99
Countries citing papers authored by W Han
This map shows the geographic impact of W 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 W Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W Han more than expected).
Fields of papers citing papers by W Han
This network shows the impact of papers produced by W 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 W Han. The network helps show where W Han may publish in the future.
Co-authors
The 25 scholars most cited alongside W 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
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 90 | |
| 2 | 2016 | 67 | |
| 3 | Cholera toxin and cholera toxin B subunit induce IgA switching through the action of TGF-beta 1. | 1998 | 58 |
| 4 | 2015 | 48 | |
| 5 | 2011 | 34 | |
| 6 | 2012 | 33 | |
| 7 | 2011 | 29 | |
| 8 | 2018 | 27 | |
| 9 | 2012 | 25 | |
| 10 | 2016 | 14 | |
| 11 | 2016 | 12 | |
| 12 | 2019 | 2 | |
| 13 | 2022 | 1 | |
| 14 | [Malignant pheochromocytoma: diagnosis and treatment]. | 1999 | 1 |
| 15 | 2018 | 0 | |
| 16 | 2017 | 0 |
About W Han
W Han is a scholar working on Hematology, Oncology, Immunology, Infectious Diseases and Epidemiology, having authored 16 papers that have together received 441 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (9 papers), Polyomavirus and related diseases (4 papers), Acute Myeloid Leukemia Research (2 papers), Antifungal resistance and susceptibility (2 papers), T-cell and B-cell Immunology (2 papers), Fungal Infections and Studies (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Inflammatory Biomarkers in Disease Prognosis (1 paper). The work is most often cited by research in Hematology (302 citations), Transplantation (17 citations), Immunology (139 citations), Genetics (55 citations) and Oncology (99 citations). W Han has collaborated with scholars based in China and South Korea. Frequent co-authors include Xiao‐Jun Huang, Lan‐Ping Xu, Jinjing Wang, Lars Eckmann, Pyeung-Hyeun Kim, Martin F. Kagnoff, Y Wang, Yuqian Sun, JZ Wang and L-P Xu. Their work appears in journals such as Bone Marrow Transplantation, Clinical Microbiology and Infection, CHEST Journal, Transplantation Proceedings and Transplant Infectious Disease.
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.