Andrew Yee
Impact in
- Hematology top 5%
- Platelet Disorders and Treatments
- Blood Coagulation and Thrombosis Mechanisms
- Hemophilia Treatment and Research
- Blood groups and transfusion
-
- Complement system in diseases
Papers in
- Hematology 12
- Platelet Disorders and Treatments 12
- Blood groups and transfusion 6
- Blood Coagulation and Thrombosis Mechanisms 2
- Immunology 10
- Complement system in diseases 6
- Atherosclerosis and Cardiovascular Diseases 2
- Co-authors
- Colin A. Kretz (8 shared papers)David S. Ginsburg (11 shared papers)David R. Siemieniak (5 shared papers)Beth M. McGee (2 shared papers)Robert D. Gildersleeve (3 shared papers)William C. Aird (1 shared paper)Martijn A. van der Ent (1 shared paper)Hui Jiang (1 shared paper)
- Journals
- PLoS ONE (2 papers)Scientific Reports (2 papers)Proceedings of the National Academy of Sciences (2 papers)Blood (2 papers)mBio (1 paper)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Andrew Yee
18 papers receiving 555 citations
Peers
Comparison fields: 5 of 83
- Hematology 188
- Immunology 102
- Molecular Medicine 24
- Endocrinology 24
- Internal Medicine 15
Countries citing papers authored by Andrew Yee
This map shows the geographic impact of Andrew Yee'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 Yee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Yee more than expected).
Fields of papers citing papers by Andrew Yee
This network shows the impact of papers produced by Andrew Yee. 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 Yee. The network helps show where Andrew Yee may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Yee, 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 | 2019 | 116 | |
| 2 | 2013 | 82 | |
| 3 | 2014 | 61 | |
| 4 | 2012 | 56 | |
| 5 | 2018 | 38 | |
| 6 | 2007 | 37 | |
| 7 | 2015 | 36 | |
| 8 | 2015 | 26 | |
| 9 | 2018 | 24 | |
| 10 | 2022 | 20 | |
| 11 | 2018 | 19 | |
| 12 | 2021 | 11 | |
| 13 | 2019 | 10 | |
| 14 | 2015 | 9 | |
| 15 | 2022 | 7 | |
| 16 | 2013 | 5 | |
| 17 | 2021 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2024 | 0 |
About Andrew Yee
Andrew Yee is a scholar working on Hematology, Immunology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 19 papers that have together received 563 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (12 papers), Complement system in diseases (6 papers), Blood groups and transfusion (6 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Protease and Inhibitor Mechanisms (2 papers) and Blood properties and coagulation (2 papers). The work is most often cited by research in Hematology (188 citations), Immunology (102 citations), Molecular Medicine (24 citations), Endocrinology (24 citations) and Internal Medicine (15 citations). Andrew Yee has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Colin A. Kretz, David S. Ginsburg, David R. Siemieniak, Beth M. McGee, Robert D. Gildersleeve, William C. Aird, Martijn A. van der Ent, Hui Jiang, Grietje Molema and Santhi K. Ganesh. Their work appears in journals such as PLoS ONE, Scientific Reports, Proceedings of the National Academy of Sciences, Blood and mBio.
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.