C. Lomas
Impact in
- Hematology top 2%
- Blood groups and transfusion
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
- Hematology 16
- Blood groups and transfusion 15
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- Erythrocyte Function and Pathophysiology 9
- Co-authors
- Suzanne A. Eccles (2 shared papers)Marta Mendiola (1 shared paper)Miriam Zimmermann (1 shared paper)Frances Boxall (1 shared paper)David Hardisson (1 shared paper)William Court (1 shared paper)Maria Vinci (1 shared paper)Lisa Patterson (1 shared paper)
- Journals
- Transfusion (4 papers)Vox Sanguinis (4 papers)International Journal of Immunogenetics (3 papers)Annals of Human Genetics (2 papers)British Journal of Haematology (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
C. Lomas
25 papers receiving 1.3k citations
C. Lomas's Hit Papers
Peers
Comparison fields: 5 of 98
- Hematology 393
- Oncology 370
- Biophysics 81
- Genetics 102
- Biomedical Engineering 441
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 25 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 | 818 |
| 2 | 1989 | 89 | |
| 3 | 1993 | 73 | |
| 4 | 1990 | 39 | |
| 5 | 1980 | 36 | |
| 6 | 1994 | 36 | |
| 7 | 1986 | 26 | |
| 8 | 1988 | 20 | |
| 9 | 1982 | 19 | |
| 10 | 1990 | 18 | |
| 11 | 1991 | 18 | |
| 12 | 2018 | 17 | |
| 13 | 1983 | 16 | |
| 14 | 2011 | 15 | |
| 15 | 1990 | 14 | |
| 16 | 1994 | 12 | |
| 17 | 1990 | 11 | |
| 18 | 1984 | 10 | |
| 19 | 2016 | 9 | |
| 20 | 1983 | 5 |
About C. Lomas
C. Lomas is a scholar working on Hematology, Physiology, Radiology, Nuclear Medicine and Imaging, Genetics and Immunology, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Blood groups and transfusion (15 papers), Erythrocyte Function and Pathophysiology (9 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Blood disorders and treatments (3 papers), Neonatal Health and Biochemistry (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Hematology (393 citations), Oncology (370 citations), Biophysics (81 citations), Genetics (102 citations) and Biomedical Engineering (441 citations). C. Lomas has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Suzanne A. Eccles, Marta Mendiola, Miriam Zimmermann, Frances Boxall, David Hardisson, William Court, Maria Vinci, Lisa Patterson, Sharon Gowan and Patricia Tippett. Their work appears in journals such as Transfusion, Vox Sanguinis, International Journal of Immunogenetics, Annals of Human Genetics and British Journal of Haematology.
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.