C. Lomas
Impact in
- Hematology top 2%
- Blood groups and transfusion
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in ⓘ
- Hematology 15
- Blood groups and transfusion 14
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- Erythrocyte Function and Pathophysiology 8
- Co-authors
- Suzanne A. Eccles (2 shared papers)Frances Boxall (1 shared paper)Maria Vinci (1 shared paper)Sharon Gowan (1 shared paper)David Hardisson (1 shared paper)Marta Mendiola (1 shared paper)William Court (1 shared paper)Miriam Zimmermann (1 shared paper)
- Journals
- Transfusion (4 papers)Vox Sanguinis (4 papers)International Journal of Immunogenetics (3 papers)Annals of Human Genetics (2 papers)Blood (1 paper)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
C. Lomas
24 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Hematology 366
- Biophysics 83
- Oncology 379
- Genetics 113
- Biomedical Engineering 443
Countries citing papers authored by C. Lomas
This map shows the geographic impact of C. Lomas'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 C. Lomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Lomas more than expected).
Fields of papers citing papers by C. Lomas
This network shows the impact of papers produced by C. Lomas. 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 C. Lomas. The network helps show where C. Lomas may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Lomas, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Advances in establishment and analysis of three-dimensional tumor spheroid-based functional assays for target validation and drug evaluation Hit paper breakdown → | 2012 | 783 |
| 2 | 1989 | 86 | |
| 3 | 1993 | 69 | |
| 4 | 1990 | 38 | |
| 5 | 1994 | 36 | |
| 6 | 1980 | 33 | |
| 7 | 1986 | 25 | |
| 8 | 1988 | 18 | |
| 9 | 1982 | 18 | |
| 10 | 2018 | 17 | |
| 11 | 1991 | 16 | |
| 12 | 1990 | 16 | |
| 13 | 2011 | 15 | |
| 14 | 1983 | 15 | |
| 15 | 1990 | 12 | |
| 16 | 1990 | 9 | |
| 17 | 1984 | 9 | |
| 18 | 2016 | 9 | |
| 19 | 1994 | 8 | |
| 20 | 1983 | 4 |
About C. Lomas
C. Lomas is a scholar working on Hematology, Physiology, Genetics, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Blood groups and transfusion (14 papers), Erythrocyte Function and Pathophysiology (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Blood disorders and treatments (4 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Neonatal Health and Biochemistry (2 papers) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Hematology (366 citations), Biophysics (83 citations), Oncology (379 citations), Genetics (113 citations) and Biomedical Engineering (443 citations). C. Lomas has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Suzanne A. Eccles, Frances Boxall, Maria Vinci, Sharon Gowan, David Hardisson, Marta Mendiola, William Court, Miriam Zimmermann, Lisa Patterson and Patricia Tippett. Their work appears in journals such as Transfusion, Vox Sanguinis, International Journal of Immunogenetics, Annals of Human Genetics and Blood.
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.