Jacky Woo
Impact in
- Transplantation top 5%
- Hepatology top 5%
- Hepatitis C virus research
Papers in
- Immunology 19
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 8
- Immunotherapy and Immune Responses 8
- Immune Response and Inflammation 5
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- Heme Oxygenase-1 and Carbon Monoxide 7
- Signaling Pathways in Disease 3
- Co-authors
- Roland Buelow (12 shared papers)Suhasini Iyer (10 shared papers)Lan Gao (3 shared papers)Angus W. Thomson (8 shared papers)Mahin D. Maines (2 shared papers)Abdul S. Rao (5 shared papers)Lina Lü (3 shared papers)Thomas E. Starzl (4 shared papers)
- Journals
- Transplantation (8 papers)Transplant Immunology (3 papers)Advances in experimental medicine and biology (2 papers)Transplant International (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Jacky Woo
38 papers receiving 888 citations
Peers
Comparison fields: 5 of 80
- Transplantation 58
- Hepatology 144
- Immunology 306
- Critical Care and Intensive Care Medicine 69
- Epidemiology 193
Countries citing papers authored by Jacky Woo
This map shows the geographic impact of Jacky Woo'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 Jacky Woo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacky Woo more than expected).
Fields of papers citing papers by Jacky Woo
This network shows the impact of papers produced by Jacky Woo. 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 Jacky Woo. The network helps show where Jacky Woo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacky Woo, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 142 | |
| 2 | 1998 | 104 | |
| 3 | 1994 | 92 | |
| 4 | 1998 | 75 | |
| 5 | 1993 | 65 | |
| 6 | 2020 | 65 | |
| 7 | 1998 | 49 | |
| 8 | 2000 | 43 | |
| 9 | 1999 | 38 | |
| 10 | 2000 | 37 | |
| 11 | 1995 | 28 | |
| 12 | 1992 | 23 | |
| 13 | 1997 | 19 | |
| 14 | 2013 | 15 | |
| 15 | 2021 | 15 | |
| 16 | 2019 | 12 | |
| 17 | 1993 | 10 | |
| 18 | 1992 | 9 | |
| 19 | 2003 | 9 | |
| 20 | 2002 | 8 |
About Jacky Woo
Jacky Woo is a scholar working on Immunology, Molecular Biology, Oncology, Surgery and Critical Care and Intensive Care Medicine, having authored 40 papers that have together received 922 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (8 papers), Heme Oxygenase-1 and Carbon Monoxide (7 papers), Immune Response and Inflammation (5 papers), Thermal Regulation in Medicine (5 papers), Signaling Pathways in Disease (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Transplantation (58 citations), Hepatology (144 citations), Immunology (306 citations), Critical Care and Intensive Care Medicine (69 citations) and Epidemiology (193 citations). Jacky Woo has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Roland Buelow, Suhasini Iyer, Lan Gao, Angus W. Thomson, Mahin D. Maines, Abdul S. Rao, Lina Lü, Thomas E. Starzl, Youping Li and Владимир Субботин. Their work appears in journals such as Transplantation, Transplant Immunology, Advances in experimental medicine and biology, Transplant International and Journal of Clinical Oncology.
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.