Andrew J. Paterson
- Biochemistry top 1%
- Immunology top 2%
- Galectins and Cancer Biology 8
- Molecular Biology top 2%
- Glycosylation and Glycoproteins Research 26
- Ubiquitin and proteasome pathways 14
- Cancer-related gene regulation 7
- Cell Biology top 2%
-
- Growth Hormone and Insulin-like Growth Factors 13
-
- Acute Myeloid Leukemia Research 11
-
- Cancer, Hypoxia, and Metabolism 8
-
- Pancreatic function and diabetes 7
- Co-authors
- Jeffrey E. KudlowXiaoyong YangKaihong SuMark D. RoosEdward ChinFengxue ZhangClifford A. TolemanDamon B. Bowe
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (10 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Andrew J. Paterson
73 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 98
- Biochemistry 419
- Critical Care and Intensive Care Medicine 261
- Immunology 1.1k
- Molecular Biology 3.3k
- Cell Biology 584
Countries citing papers authored by Andrew J. Paterson
This map shows the geographic impact of Andrew J. Paterson'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 Andrew J. Paterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew J. Paterson more than expected).
Fields of papers citing papers by Andrew J. Paterson
This network shows the impact of papers produced by Andrew J. Paterson. 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 Andrew J. Paterson. The network helps show where Andrew J. Paterson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrew J. Paterson, 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 | 2023 | 16 | |
| 2 | 2022 | 18 | |
| 3 | 2022 | 9 | |
| 4 | 2020 | 52 | |
| 5 | 2019 | 6 | |
| 6 | 2017 | 3 | |
| 7 | 2014 | 11 | |
| 8 | 2013 | 8 | |
| 9 | 2012 | 49 | |
| 10 | 2009 | 39 | |
| 11 | 2009 | 9 | |
| 12 | 2005 | 23 | |
| 13 | 2004 | 3 | |
| 14 | 2003 | 7 | |
| 15 | 2003 | 18 | |
| 16 | 2001 | 29 | |
| 17 | 2000 | 84 | |
| 18 | 1999 | 120 | |
| 19 | 1991 | 53 | |
| 20 | 1989 | 50 |
About Andrew J. Paterson
Andrew J. Paterson is a scholar working on Hematology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 73 papers that have together received 4.9k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (26 papers), Ubiquitin and proteasome pathways (14 papers), Growth Hormone and Insulin-like Growth Factors (13 papers), Acute Myeloid Leukemia Research (11 papers), Cancer, Hypoxia, and Metabolism (8 papers), Galectins and Cancer Biology (8 papers), Cancer-related gene regulation (7 papers) and Pancreatic function and diabetes (7 papers). The work is most often cited by research in Biochemistry (419 citations), Critical Care and Intensive Care Medicine (261 citations) and Immunology (1.1k citations). Andrew J. Paterson has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Jeffrey E. Kudlow, Xiaoyong Yang, Kaihong Su, Mark D. Roos, Edward Chin, Fengxue Zhang, Clifford A. Toleman, Damon B. Bowe, David Colcher and Jeffrey Schlom. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological 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.