Liam Whitby
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Blood groups and transfusion
- Virology top 5%
- HIV Research and Treatment
Papers in
- Hematology 18
- Blood groups and transfusion 8
- Acute Myeloid Leukemia Research 3
- Immunology 12
- Complement system in diseases 6
- Co-authors
- David Barnett (25 shared papers)John T. Reilly (17 shared papers)V. Granger (8 shared papers)Ian Storie (7 shared papers)Matthew Fletcher (8 shared papers)Jan W. Gratama (1 shared paper)Stefano Papa (1 shared paper)Jaco Kraan (1 shared paper)
- Journals
- Cytometry Part B Clinical Cytometry (16 papers)British Journal of Haematology (3 papers)Journal of Clinical Pathology (2 papers)Transfusion (1 paper)Cytometry (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Liam Whitby
35 papers receiving 682 citations
Peers
Comparison fields: 5 of 73
- Hematology 310
- Virology 93
- Transplantation 41
- Immunology 235
- Nephrology 57
Countries citing papers authored by Liam Whitby
This map shows the geographic impact of Liam Whitby'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 Liam Whitby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liam Whitby more than expected).
Fields of papers citing papers by Liam Whitby
This network shows the impact of papers produced by Liam Whitby. 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 Liam Whitby. The network helps show where Liam Whitby may publish in the future.
Co-authors
The 25 scholars most cited alongside Liam Whitby, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 98 | |
| 2 | 2009 | 73 | |
| 3 | 2000 | 73 | |
| 4 | 2002 | 71 | |
| 5 | 2021 | 53 | |
| 6 | 2011 | 40 | |
| 7 | 2008 | 32 | |
| 8 | 2003 | 28 | |
| 9 | 2003 | 26 | |
| 10 | 2017 | 23 | |
| 11 | 2014 | 19 | |
| 12 | 2003 | 18 | |
| 13 | 2013 | 18 | |
| 14 | 2001 | 17 | |
| 15 | 2017 | 13 | |
| 16 | 2017 | 12 | |
| 17 | 2015 | 11 | |
| 18 | 2006 | 10 | |
| 19 | 2000 | 10 | |
| 20 | 2023 | 9 |
About Liam Whitby
Liam Whitby is a scholar working on Hematology, Immunology, Virology, Molecular Biology and Genetics, having authored 35 papers that have together received 701 indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), Blood groups and transfusion (8 papers), Complement system in diseases (6 papers), Single-cell and spatial transcriptomics (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Acute Myeloid Leukemia Research (3 papers) and Clinical Laboratory Practices and Quality Control (3 papers). The work is most often cited by research in Hematology (310 citations), Virology (93 citations), Transplantation (41 citations), Immunology (235 citations) and Nephrology (57 citations). Liam Whitby has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include David Barnett, John T. Reilly, V. Granger, Ian Storie, Matthew Fletcher, Jan W. Gratama, Stefano Papa, Jaco Kraan, Jonathan J. Campbell and Melissa Cheung. Their work appears in journals such as Cytometry Part B Clinical Cytometry, British Journal of Haematology, Journal of Clinical Pathology, Transfusion and Cytometry.
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.