Yunmei Wang
Impact in
- Oncology top 2%
- Cancer-related Molecular Pathways
- Biotechnology top 1%
- Cancer Research and Treatments
Papers in
-
- S100 Proteins and Annexins 6
- Kruppel-like factors research 4
- Fungal and yeast genetics research 4
- Immunology 18
- Immune Response and Inflammation 4
- Co-authors
- Frank McKeon (3 shared papers)Annie Yang (3 shared papers)Mourad Kaghad (1 shared paper)Daniel Caput (1 shared paper)Mark D. Fleming (1 shared paper)Emily S. Gillett (1 shared paper)Volker Dötsch (1 shared paper)Nancy C. Andrews (1 shared paper)
- Journals
- Circulation (5 papers)Blood (4 papers)Journal of Clinical Investigation (3 papers)Arteriosclerosis Thrombosis and Vascular Biology (3 papers)Journal of Investigative Dermatology (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yunmei Wang
64 papers receiving 5.0k citations
Yunmei Wang's Hit Papers
Peers
Comparison fields: 5 of 141
- Oncology 1.6k
- Biotechnology 453
- Molecular Biology 3.0k
- Hematology 460
- Cancer Research 576
Countries citing papers authored by Yunmei Wang
This map shows the geographic impact of Yunmei Wang'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 Yunmei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunmei Wang more than expected).
Fields of papers citing papers by Yunmei Wang
This network shows the impact of papers produced by Yunmei Wang. 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 Yunmei Wang. The network helps show where Yunmei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yunmei Wang, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | p63, a p53 Homolog at 3q27–29, Encodes Multiple Products with Transactivating, Death-Inducing, and Dominant-Negative Activities Hit paper breakdown → | 1998 | 1764 |
| 2 | 2004 | 257 | |
| 3 | 2006 | 240 | |
| 4 | 2009 | 202 | |
| 5 | 2001 | 188 | |
| 6 | 2012 | 176 | |
| 7 | 2005 | 143 | |
| 8 | 2008 | 139 | |
| 9 | 2007 | 135 | |
| 10 | 1999 | 131 | |
| 11 | 2017 | 127 | |
| 12 | 2001 | 119 | |
| 13 | 2001 | 108 | |
| 14 | 2008 | 105 | |
| 15 | 2014 | 104 | |
| 16 | 2017 | 84 | |
| 17 | 2013 | 79 | |
| 18 | 2012 | 72 | |
| 19 | 2009 | 67 | |
| 20 | 2004 | 62 |
About Yunmei Wang
Yunmei Wang is a scholar working on Molecular Biology, Immunology, Hematology, Immunology and Allergy and Surgery, having authored 67 papers that have together received 5.0k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (12 papers), Cell Adhesion Molecules Research (10 papers), S100 Proteins and Annexins (6 papers), Kruppel-like factors research (4 papers), Heparin-Induced Thrombocytopenia and Thrombosis (4 papers), Fungal and yeast genetics research (4 papers), Immune Response and Inflammation (4 papers) and Protease and Inhibitor Mechanisms (4 papers). The work is most often cited by research in Oncology (1.6k citations), Biotechnology (453 citations), Molecular Biology (3.0k citations), Hematology (460 citations) and Cancer Research (576 citations). Yunmei Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Frank McKeon, Annie Yang, Mourad Kaghad, Daniel Caput, Mark D. Fleming, Emily S. Gillett, Volker Dötsch, Nancy C. Andrews, Daniel I. Simon and Huiyun Gao. Their work appears in journals such as Circulation, Blood, Journal of Clinical Investigation, Arteriosclerosis Thrombosis and Vascular Biology and Journal of Investigative Dermatology.
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.