W Han
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Transplantation top 10%
Papers in
- Hematology 10
- Hematopoietic Stem Cell Transplantation 10
- Acute Myeloid Leukemia Research 2
- Oncology 7
- Polyomavirus and related diseases 4
- Co-authors
- Xiao‐Jun Huang (11 shared papers)Lan‐Ping Xu (5 shared papers)Jinjing Wang (2 shared papers)K Y Liu (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)
- Journals
- Bone Marrow Transplantation (6 papers)Clinical Microbiology and Infection (2 papers)Journal of Colloid and Interface Science (1 paper)Journal of the Energy Institute (1 paper)Nano Research (1 paper)
- Partner nations
- ChinaAustraliaSouth Korea
In The Last Decade
W Han
19 papers receiving 506 citations
Peers
Comparison fields: 5 of 79
- Hematology 315
- Transplantation 23
- Immunology 149
- Genetics 71
- Fluid Flow and Transfer Processes 29
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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 89 | |
| 2 | 2016 | 64 | |
| 3 | Cholera toxin and cholera toxin B subunit induce IgA switching through the action of TGF-beta 1. | 1998 | 56 |
| 4 | 2015 | 46 | |
| 5 | 2018 | 42 | |
| 6 | 2012 | 34 | |
| 7 | 2011 | 33 | |
| 8 | 2020 | 28 | |
| 9 | 2011 | 27 | |
| 10 | 2018 | 25 | |
| 11 | 2012 | 25 | |
| 12 | 2023 | 14 | |
| 13 | 2016 | 13 | |
| 14 | 2016 | 12 | |
| 15 | 2019 | 2 | |
| 16 | 2012 | 2 | |
| 17 | 2025 | 1 | |
| 18 | [Malignant pheochromocytoma: diagnosis and treatment]. | 1999 | 1 |
| 19 | 2022 | 1 | |
| 20 | 2025 | 0 |
About W Han
W Han is a scholar working on Hematology, Oncology, Epidemiology, Immunology and Surgery, having authored 23 papers that have together received 515 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (10 papers), Polyomavirus and related diseases (4 papers), T-cell and B-cell Immunology (3 papers), Acute Myeloid Leukemia Research (2 papers), Fungal Infections and Studies (2 papers), Antifungal resistance and susceptibility (2 papers), Advanced Photocatalysis Techniques (2 papers) and Microbial Metabolites in Food Biotechnology (1 paper). The work is most often cited by research in Hematology (315 citations), Transplantation (23 citations), Immunology (149 citations), Genetics (71 citations) and Fluid Flow and Transfer Processes (29 citations). W Han has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Xiao‐Jun Huang, Lan‐Ping Xu, Jinjing Wang, K Y Liu, Lars Eckmann, Pyeung-Hyeun Kim, Martin F. Kagnoff, Y Wang, Mohsin Raza and Longfei Chen. Their work appears in journals such as Bone Marrow Transplantation, Clinical Microbiology and Infection, Journal of Colloid and Interface Science, Journal of the Energy Institute and Nano Research.
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.