Hai Yu
Impact in
- Organic Chemistry top 0.2%
- Carbohydrate Chemistry and Synthesis
- Molecular Biology top 1%
- Glycosylation and Glycoproteins Research
- Genomics and Phylogenetic Studies
Papers in
-
- Carbohydrate Chemistry and Synthesis 109
-
- Glycosylation and Glycoproteins Research 159
- Genomics and Phylogenetic Studies 18
- Co-authors
- Xi Chen (185 shared papers)Yanhong Li (52 shared papers)Harshal A. Chokhawala (16 shared papers)Shengshu Huang (17 shared papers)Ajit P Varki (37 shared papers)Kam Lau (23 shared papers)Hongzhi Cao (19 shared papers)Vireak Thon (19 shared papers)
- Journals
- Organic & Biomolecular Chemistry (12 papers)Chemical Communications (12 papers)Glycobiology (10 papers)Carbohydrate Research (8 papers)The Journal of Organic Chemistry (8 papers)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Hai Yu
283 papers receiving 9.6k citations
Peers
Comparison fields: 5 of 177
- Organic Chemistry 4.3k
- Molecular Biology 6.7k
- Biotechnology 836
- Nutrition and Dietetics 1.0k
- Immunology 1.2k
Countries citing papers authored by Hai Yu
This map shows the geographic impact of Hai Yu'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 Hai Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Yu more than expected).
Fields of papers citing papers by Hai Yu
This network shows the impact of papers produced by Hai Yu. 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 Hai Yu. The network helps show where Hai Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai Yu, 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 294 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 319 | |
| 2 | 2006 | 284 | |
| 3 | 2008 | 264 | |
| 4 | 2004 | 220 | |
| 5 | 2008 | 196 | |
| 6 | 1983 | 176 | |
| 7 | 2011 | 173 | |
| 8 | 2010 | 157 | |
| 9 | 2006 | 138 | |
| 10 | 2016 | 135 | |
| 11 | 2010 | 133 | |
| 12 | 2009 | 132 | |
| 13 | 2014 | 130 | |
| 14 | 2015 | 124 | |
| 15 | 2011 | 122 | |
| 16 | 2012 | 121 | |
| 17 | 2011 | 118 | |
| 18 | 2008 | 117 | |
| 19 | 2013 | 111 | |
| 20 | 2012 | 110 |
About Hai Yu
Hai Yu is a scholar working on Organic Chemistry, Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 294 papers that have together received 10.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (159 papers), Carbohydrate Chemistry and Synthesis (109 papers), Monoclonal and Polyclonal Antibodies Research (30 papers), Genomics and Phylogenetic Studies (18 papers), Influenza Virus Research Studies (17 papers), Galectins and Cancer Biology (16 papers), Infant Nutrition and Health (15 papers) and Proteoglycans and glycosaminoglycans research (13 papers). The work is most often cited by research in Organic Chemistry (4.3k citations), Molecular Biology (6.7k citations), Biotechnology (836 citations), Nutrition and Dietetics (1.0k citations) and Immunology (1.2k citations). Hai Yu has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Xi Chen, Yanhong Li, Harshal A. Chokhawala, Shengshu Huang, Ajit P Varki, Kam Lau, Hongzhi Cao, Vireak Thon, Vered Padler‐Karavani and Zahra Khedri. Their work appears in journals such as Organic & Biomolecular Chemistry, Chemical Communications, Glycobiology, Carbohydrate Research and The Journal of Organic Chemistry.
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.