Wei Dang
Impact in
-
- Monoclonal and Polyclonal Antibodies Research
- Aging top 5%
Papers in
-
- Heat shock proteins research 7
- Genomics and Chromatin Dynamics 4
- Immunology 12
- Aquaculture disease management and microbiota 9
- Co-authors
- Li Sun (10 shared papers)Lydia Robert (1 shared paper)Suckjoon Jun (1 shared paper)Andrew Wright (1 shared paper)François Taddéi (1 shared paper)James F. Pelletier (1 shared paper)Greg A. Lazar (3 shared papers)Sher Karki (4 shared papers)
- Journals
- Fish & Shellfish Immunology (7 papers)Journal of Thermal Biology (4 papers)Frontiers in Microbiology (3 papers)Applied Surface Science (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Wei Dang
100 papers receiving 4.1k citations
Wei Dang's Hit Papers
Peers
Comparison fields: 5 of 133
- Radiology, Nuclear Medicine and Imaging 669
- Aging 40
- Immunology 426
- Molecular Biology 1.3k
- Ophthalmology 155
Countries citing papers authored by Wei Dang
This map shows the geographic impact of Wei Dang'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 Wei Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Dang more than expected).
Fields of papers citing papers by Wei Dang
This network shows the impact of papers produced by Wei Dang. 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 Wei Dang. The network helps show where Wei Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Dang, 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Robust Growth of Escherichia coli Hit paper breakdown → | 2010 | 730 |
| 2 | Engineered antibody Fc variants with enhanced effector function Hit paper breakdown → | 2006 | 664 |
| 3 | 2018 | 297 | |
| 4 | 2008 | 263 | |
| 5 | 2019 | 206 | |
| 6 | 2019 | 146 | |
| 7 | 2019 | 88 | |
| 8 | 2011 | 80 | |
| 9 | 2018 | 77 | |
| 10 | 2012 | 65 | |
| 11 | 2019 | 62 | |
| 12 | 2021 | 60 | |
| 13 | 2016 | 56 | |
| 14 | 2019 | 54 | |
| 15 | 2014 | 53 | |
| 16 | 2013 | 48 | |
| 17 | 1997 | 47 | |
| 18 | 2019 | 45 | |
| 19 | 2010 | 44 | |
| 20 | 2011 | 40 |
About Wei Dang
Wei Dang is a scholar working on Molecular Biology, Immunology, Ecology, Oncology and Cancer Research, having authored 104 papers that have together received 4.3k indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (13 papers), Advancements in Battery Materials (9 papers), Aquaculture disease management and microbiota (9 papers), Heat shock proteins research (7 papers), Turtle Biology and Conservation (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Arsenic contamination and mitigation (4 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (669 citations), Aging (40 citations), Immunology (426 citations), Molecular Biology (1.3k citations) and Ophthalmology (155 citations). Wei Dang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Li Sun, Lydia Robert, Suckjoon Jun, Andrew Wright, François Taddéi, James F. Pelletier, Greg A. Lazar, Sher Karki, Yonghua Hu and Omid Vafa. Their work appears in journals such as Fish & Shellfish Immunology, Journal of Thermal Biology, Frontiers in Microbiology, Applied Surface Science and Scientific Reports.
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.