Wan Wu
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
Papers in
-
- Pluripotent Stem Cells Research 7
- Renal and related cancers 4
- Sphingolipid Metabolism and Signaling 2
-
- Complement system in diseases 5
- Immune Response and Inflammation 4
- Immunotherapy and Immune Responses 2
- Co-authors
- Mariusz Z. Ratajczak (15 shared papers)Magda Kucia (13 shared papers)Janina Ratajczak (12 shared papers)Marcin Wysoczynski (7 shared papers)Ewa Zuba‐Surma (5 shared papers)R Liu (3 shared papers)H M Lee (1 shared paper)James W. Lillard (1 shared paper)
- Journals
- Leukemia (5 papers)Blood (2 papers)Stem Cells (2 papers)Advances in experimental medicine and biology (1 paper)Expert Opinion on Biological Therapy (1 paper)
- Partner nations
- United StatesPolandSouth Korea
In The Last Decade
Wan Wu
17 papers receiving 853 citations
Peers
Comparison fields: 5 of 77
- Genetics 243
- Hematology 211
- Immunology 242
- Developmental Neuroscience 33
- Molecular Biology 507
Countries citing papers authored by Wan Wu
This map shows the geographic impact of Wan Wu'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 Wan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan Wu more than expected).
Fields of papers citing papers by Wan Wu
This network shows the impact of papers produced by Wan Wu. 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 Wan Wu. The network helps show where Wan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wan Wu, 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 | 2009 | 118 | |
| 2 | 2011 | 113 | |
| 3 | 2008 | 107 | |
| 4 | 2008 | 97 | |
| 5 | 2010 | 80 | |
| 6 | 2011 | 66 | |
| 7 | 2009 | 58 | |
| 8 | 2011 | 54 | |
| 9 | 2007 | 39 | |
| 10 | 2008 | 36 | |
| 11 | 2007 | 32 | |
| 12 | 2008 | 26 | |
| 13 | 2011 | 24 | |
| 14 | 2015 | 19 | |
| 15 | 2023 | 13 | |
| 16 | 2008 | 3 | |
| 17 | 2009 | 1 |
About Wan Wu
Wan Wu is a scholar working on Molecular Biology, Immunology, Genetics, Hematology and Physiology, having authored 17 papers that have together received 886 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), Mesenchymal stem cell research (6 papers), Complement system in diseases (5 papers), Renal and related cancers (4 papers), Immune Response and Inflammation (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Sphingolipid Metabolism and Signaling (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Genetics (243 citations), Hematology (211 citations), Immunology (242 citations), Developmental Neuroscience (33 citations) and Molecular Biology (507 citations). Wan Wu has collaborated with scholars based in United States, Poland and South Korea. Frequent co-authors include Mariusz Z. Ratajczak, Magda Kucia, Janina Ratajczak, Marcin Wysoczynski, Ewa Zuba‐Surma, R Liu, H M Lee, James W. Lillard, Manjula Sunkara and Andrew J. Morris. Their work appears in journals such as Leukemia, Blood, Stem Cells, Advances in experimental medicine and biology and Expert Opinion on Biological Therapy.
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.