C. Lomas

24 papers receiving 1.2k citations

Hit Papers

Advances in establishment and analysis of three-dimensional tumor spheroid-based functional assays for target validation and drug evaluation 2012 · 783 citations
7830+4+9Years since publication250500750

Peers

C. Lomas
Comparison fields: 5 of 98
  • Hematology 366
  • Biophysics 83
  • Oncology 379
  • Genetics 113
  • Biomedical Engineering 443
Replace Ellen J. Wehrens with:
Ellen J. Wehrens Netherlands
William Court United Kingdom
Mohammad Fallahi‐Sichani United States
Fariba Némati France
Kartoosh Heydari United States
Graeme J. Dougherty United States
Novalia Pishesha United States
Stephan Wilmes Germany
Jill M. Fritz United States
C. Lomas relative to Ellen J. Wehrens Netherlands Ellen J. Wehrens's profile →
Citations per field
00.5×3.9×
Ellen J. Wehrens · 1×
Citations per year

Countries citing papers authored by C. Lomas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with C. Lomas Line = papers co-authored together C. Lomas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
2012783
2 198986
3 199369
4 199038
5 199436
6 198033
7 198625
8 198818
9 198218
10 201817
11 199116
12 199016
13 201115
14 198315
15 199012
16 19909
17 19849
18 20169
19 19948
20 19834

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.

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