Hank Wu
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Legume Nitrogen Fixing Symbiosis
- Plant Stress Responses and Tolerance
- Plant-Microbe Interactions and Immunity
Papers in
-
- RNA and protein synthesis mechanisms 3
- Genomics and Phylogenetic Studies 3
- Photosynthetic Processes and Mechanisms 3
- Genomics and Chromatin Dynamics 2
- Biochemical and Structural Characterization 1
-
- Plant Molecular Biology Research 2
- Legume Nitrogen Fixing Symbiosis 2
- Soybean genetics and cultivation 1
- Co-authors
- Christopher D. Town (8 shared papers)Michelle A. Graham (2 shared papers)Beverly A. Underwood (3 shared papers)William A. Moskal (3 shared papers)Kathryn A. VandenBosch (1 shared paper)Kevin A.T. Silverstein (1 shared paper)Julia C. Redman (4 shared papers)Tomasz Czechowski (2 shared papers)
- Journals
- Plant Methods (2 papers)PLANT PHYSIOLOGY (2 papers)The Plant Journal (2 papers)Genome Research (1 paper)BMC Genomics (1 paper)
- Partner nations
- United StatesGermanyMexico
In The Last Decade
Hank Wu
11 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 78
- Microbiology 127
- Plant Science 744
- Molecular Biology 613
- Biotechnology 47
- Agronomy and Crop Science 51
Countries citing papers authored by Hank Wu
This map shows the geographic impact of Hank 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 Hank Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hank Wu more than expected).
Fields of papers citing papers by Hank Wu
This network shows the impact of papers produced by Hank 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 Hank Wu. The network helps show where Hank Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hank 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 | 2007 | 369 | |
| 2 | 2007 | 260 | |
| 3 | 2008 | 116 | |
| 4 | 2006 | 97 | |
| 5 | 2008 | 91 | |
| 6 | 2005 | 51 | |
| 7 | 2005 | 45 | |
| 8 | 2010 | 23 | |
| 9 | 2007 | 13 | |
| 10 | 2019 | 5 | |
| 11 | 2019 | 1 |
About Hank Wu
Hank Wu is a scholar working on Molecular Biology, Plant Science, Electrical and Electronic Engineering, Computer Networks and Communications and Pharmacology, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Genomics and Phylogenetic Studies (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Plant Molecular Biology Research (2 papers), Genomics and Chromatin Dynamics (2 papers), Legume Nitrogen Fixing Symbiosis (2 papers), Soybean genetics and cultivation (1 paper) and Biochemical and Structural Characterization (1 paper). The work is most often cited by research in Microbiology (127 citations), Plant Science (744 citations), Molecular Biology (613 citations), Biotechnology (47 citations) and Agronomy and Crop Science (51 citations). Hank Wu has collaborated with scholars based in United States, Germany and Mexico. Frequent co-authors include Christopher D. Town, Michelle A. Graham, Beverly A. Underwood, William A. Moskal, Kathryn A. VandenBosch, Kevin A.T. Silverstein, Julia C. Redman, Tomasz Czechowski, Michael K. Udvardi and Foo Cheung. Their work appears in journals such as Plant Methods, PLANT PHYSIOLOGY, The Plant Journal, Genome Research and BMC Genomics.
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.