Albert M. Wu
Impact in
- Immunology top 1%
- Galectins and Cancer Biology
- Toxin Mechanisms and Immunotoxins
- Endocrinology top 2%
- Escherichia coli research studies
Papers in
-
- Glycosylation and Glycoproteins Research 101
- Immunology 65
- Galectins and Cancer Biology 38
- Toxin Mechanisms and Immunotoxins 28
- Co-authors
- Anthony Herp (30 shared papers)June H. Wu (39 shared papers)Elvin A. Kabat (11 shared papers)Tanuja Singh (21 shared papers)Shunji Sugii (4 shared papers)Elwira Lisowska (5 shared papers)Hans‐Joachim Gabius (10 shared papers)Jia‐Hau Liu (11 shared papers)
- Journals
- Advances in experimental medicine and biology (15 papers)FEBS Letters (11 papers)Life Sciences (7 papers)Biochemical Journal (7 papers)Biochimie (6 papers)
- Partner nations
- TaiwanUnited StatesIsrael
In The Last Decade
Albert M. Wu
118 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 115
- Immunology 1.8k
- Endocrinology 248
- Molecular Biology 3.0k
- Organic Chemistry 1.1k
- Biotechnology 303
Countries citing papers authored by Albert M. Wu
This map shows the geographic impact of Albert M. 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 Albert M. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert M. Wu more than expected).
Fields of papers citing papers by Albert M. Wu
This network shows the impact of papers produced by Albert M. 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 Albert M. Wu. The network helps show where Albert M. Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Albert M. 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 229 | |
| 2 | 1994 | 140 | |
| 3 | 1979 | 122 | |
| 4 | 2008 | 115 | |
| 5 | 1994 | 114 | |
| 6 | 1981 | 114 | |
| 7 | 1986 | 107 | |
| 8 | 2004 | 96 | |
| 9 | 1998 | 88 | |
| 10 | 1991 | 86 | |
| 11 | 1984 | 71 | |
| 12 | 2010 | 67 | |
| 13 | 1977 | 59 | |
| 14 | 1988 | 58 | |
| 15 | 1988 | 56 | |
| 16 | 2006 | 56 | |
| 17 | 1992 | 56 | |
| 18 | 1997 | 55 | |
| 19 | 1980 | 52 | |
| 20 | 2001 | 50 |
About Albert M. Wu
Albert M. Wu is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Radiology, Nuclear Medicine and Imaging and Plant Science, having authored 119 papers that have together received 3.8k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (101 papers), Carbohydrate Chemistry and Synthesis (41 papers), Galectins and Cancer Biology (38 papers), Toxin Mechanisms and Immunotoxins (28 papers), Monoclonal and Polyclonal Antibodies Research (21 papers), Escherichia coli research studies (9 papers), Polysaccharides and Plant Cell Walls (9 papers) and Transgenic Plants and Applications (8 papers). The work is most often cited by research in Immunology (1.8k citations), Endocrinology (248 citations), Molecular Biology (3.0k citations), Organic Chemistry (1.1k citations) and Biotechnology (303 citations). Albert M. Wu has collaborated with scholars based in Taiwan, United States and Israel. Frequent co-authors include Anthony Herp, June H. Wu, Elvin A. Kabat, Tanuja Singh, Shunji Sugii, Elwira Lisowska, Hans‐Joachim Gabius, Jia‐Hau Liu, Shuh‐Chyung Song and Flavio Gruezo. Their work appears in journals such as Advances in experimental medicine and biology, FEBS Letters, Life Sciences, Biochemical Journal and Biochimie.
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.