Mack H. Wu
Impact in
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research
- Neurology top 2%
- Barrier Structure and Function Studies
Papers in
-
- Angiogenesis and VEGF in Cancer 11
- S100 Proteins and Annexins 7
-
- Cell Adhesion Molecules Research 21
- Co-authors
- Sarah Y. Yuan (53 shared papers)Qiang Shen (9 shared papers)Mingzhang Guo (14 shared papers)Jerome W. Breslin (11 shared papers)Christopher D. Pivetti (4 shared papers)Harris J. Granger (8 shared papers)Robert R. Rigor (4 shared papers)Eugene S. Lee (6 shared papers)
- Journals
- Shock (6 papers)The Journal of Physiology (5 papers)American Journal of Physiology-Heart and Circulatory Physiology (5 papers)Cardiovascular Research (3 papers)The FASEB Journal (3 papers)
- Partner nations
- United StatesJapan
In The Last Decade
Mack H. Wu
66 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 123
- Immunology and Allergy 424
- Neurology 415
- Immunology 626
- Cancer Research 398
- Cell Biology 390
Countries citing papers authored by Mack H. Wu
This map shows the geographic impact of Mack H. 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 Mack H. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mack H. Wu more than expected).
Fields of papers citing papers by Mack H. Wu
This network shows the impact of papers produced by Mack H. 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 Mack H. Wu. The network helps show where Mack H. Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mack H. 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
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 304 | |
| 2 | 2010 | 187 | |
| 3 | 2002 | 155 | |
| 4 | 2018 | 138 | |
| 5 | 2006 | 135 | |
| 6 | 2012 | 112 | |
| 7 | 2005 | 109 | |
| 8 | 2007 | 97 | |
| 9 | 2000 | 85 | |
| 10 | 2011 | 85 | |
| 11 | 2002 | 81 | |
| 12 | 2007 | 71 | |
| 13 | 2008 | 69 | |
| 14 | 2003 | 69 | |
| 15 | 2010 | 63 | |
| 16 | 2011 | 62 | |
| 17 | 2014 | 58 | |
| 18 | 2001 | 57 | |
| 19 | 2016 | 56 | |
| 20 | 2003 | 55 |
About Mack H. Wu
Mack H. Wu is a scholar working on Molecular Biology, Immunology and Allergy, Immunology, Cancer Research and Neurology, having authored 66 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (21 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (11 papers), Angiogenesis and VEGF in Cancer (11 papers), Barrier Structure and Function Studies (11 papers), Protease and Inhibitor Mechanisms (8 papers), S100 Proteins and Annexins (7 papers), Nitric Oxide and Endothelin Effects (7 papers) and Atherosclerosis and Cardiovascular Diseases (5 papers). The work is most often cited by research in Immunology and Allergy (424 citations), Neurology (415 citations), Immunology (626 citations), Cancer Research (398 citations) and Cell Biology (390 citations). Mack H. Wu has collaborated with scholars based in United States and Japan. Frequent co-authors include Sarah Y. Yuan, Qiang Shen, Mingzhang Guo, Jerome W. Breslin, Christopher D. Pivetti, Harris J. Granger, Robert R. Rigor, Eugene S. Lee, Elena E. Ustinova and Puneet Kumar. Their work appears in journals such as Shock, The Journal of Physiology, American Journal of Physiology-Heart and Circulatory Physiology, Cardiovascular Research and The FASEB Journal.
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.