Liam Whitby
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Virology top 10%
- HIV Research and Treatment
Papers in
- Hematology 13
- Blood groups and transfusion 4
- Hematopoietic Stem Cell Transplantation 3
- Acute Myeloid Leukemia Research 3
-
- 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 Part A (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Liam Whitby
34 papers receiving 726 citations
Peers
Comparison fields: 5 of 68
- Hematology 254
- Virology 73
- Transplantation 31
- Immunology 182
- Biophysics 40
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 | 110 | |
| 2 | 2009 | 78 | |
| 3 | 2000 | 76 | |
| 4 | 2002 | 70 | |
| 5 | 2021 | 59 | |
| 6 | 2011 | 45 | |
| 7 | 2008 | 34 | |
| 8 | 2003 | 29 | |
| 9 | 2003 | 26 | |
| 10 | 2017 | 23 | |
| 11 | 2014 | 20 | |
| 12 | 2003 | 19 | |
| 13 | 2013 | 18 | |
| 14 | 2001 | 17 | |
| 15 | 2017 | 14 | |
| 16 | 2017 | 13 | |
| 17 | 2015 | 11 | |
| 18 | 2023 | 11 | |
| 19 | 2000 | 11 | |
| 20 | 2006 | 10 |
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 746 indexed citations. Recurring topics across this work include Complement system in diseases (6 papers), HIV Research and Treatment (5 papers), Blood groups and transfusion (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Acute Myeloid Leukemia Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Hematology (254 citations), Virology (73 citations), Transplantation (31 citations), Immunology (182 citations) and Biophysics (40 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, Robert J. Thomas and Jonathan J. Campbell. Their work appears in journals such as Cytometry Part B Clinical Cytometry, British Journal of Haematology, Journal of Clinical Pathology, Transfusion and Cytometry Part A.
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.