Herren Wu
Impact in
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- Monoclonal and Polyclonal Antibodies Research
- Immunology top 2%
- T-cell and B-cell Immunology
Papers in
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- Monoclonal and Polyclonal Antibodies Research 80
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- Glycosylation and Glycoproteins Research 32
- Protein purification and stability 21
- Co-authors
- William F. Dall’Acqua (53 shared papers)Peter A. Kiener (13 shared papers)Changshou Gao (37 shared papers)Melissa Damschroder (27 shared papers)Robert M. Woods (10 shared papers)Vaheh Oganesyan (19 shared papers)Nita Patel (3 shared papers)Kimberly E. Cook (10 shared papers)
- Journals
- mAbs (16 papers)PLoS ONE (10 papers)Journal of Biological Chemistry (6 papers)Cancer Research (5 papers)Journal of Molecular Biology (5 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Herren Wu
116 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 116
- Radiology, Nuclear Medicine and Imaging 2.9k
- Immunology 1.3k
- Oncology 1.2k
- Molecular Biology 2.9k
- Immunology and Allergy 217
Countries citing papers authored by Herren Wu
This map shows the geographic impact of Herren 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 Herren Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Herren Wu more than expected).
Fields of papers citing papers by Herren Wu
This network shows the impact of papers produced by Herren 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 Herren Wu. The network helps show where Herren Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Herren 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 467 | |
| 2 | 2010 | 450 | |
| 3 | 2016 | 302 | |
| 4 | 2007 | 290 | |
| 5 | 2002 | 278 | |
| 6 | 2014 | 205 | |
| 7 | 2011 | 188 | |
| 8 | 1995 | 167 | |
| 9 | 2005 | 152 | |
| 10 | 2008 | 139 | |
| 11 | 2008 | 122 | |
| 12 | 1998 | 119 | |
| 13 | 2015 | 112 | |
| 14 | 2015 | 106 | |
| 15 | 2006 | 104 | |
| 16 | 2015 | 99 | |
| 17 | 2017 | 90 | |
| 18 | 2020 | 89 | |
| 19 | 2016 | 86 | |
| 20 | 2007 | 84 |
About Herren Wu
Herren Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology, Immunology and Epidemiology, having authored 116 papers that have together received 5.9k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (80 papers), Glycosylation and Glycoproteins Research (32 papers), Protein purification and stability (21 papers), HER2/EGFR in Cancer Research (20 papers), T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (8 papers), Respiratory viral infections research (7 papers) and CAR-T cell therapy research (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.9k citations), Immunology (1.3k citations), Oncology (1.2k citations), Molecular Biology (2.9k citations) and Immunology and Allergy (217 citations). Herren Wu has collaborated with scholars based in United States, Germany and France. Frequent co-authors include William F. Dall’Acqua, Peter A. Kiener, Changshou Gao, Melissa Damschroder, Robert M. Woods, Vaheh Oganesyan, Nita Patel, Kimberly E. Cook, Nazzareno Dimasi and Ryan Fleming. Their work appears in journals such as mAbs, PLoS ONE, Journal of Biological Chemistry, Cancer Research and Journal of Molecular Biology.
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.