C. Lomas

2.3k total citations · 1 hit paper
24 papers, 1.2k citations indexed

About

C. Lomas is a scholar working on Hematology, Physiology and Genetics. According to data from OpenAlex, C. Lomas has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Hematology, 8 papers in Physiology and 7 papers in Genetics. Recurrent topics in C. Lomas's work include Blood groups and transfusion (14 papers), Erythrocyte Function and Pathophysiology (8 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). C. Lomas is often cited by papers focused on Blood groups and transfusion (14 papers), Erythrocyte Function and Pathophysiology (8 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). C. Lomas collaborates with scholars based in United Kingdom, Canada and United States. C. Lomas's co-authors include Suzanne A. Eccles, Miriam Zimmermann, Sharon Gowan, David Hardisson, Marta Mendiola, William Court, Lisa Patterson, Frances Boxall, Maria Vinci and Patricia Tippett and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and Chemistry - A European Journal.

In The Last Decade

C. Lomas

24 papers receiving 1.2k citations

Hit Papers

Advances in establishment and analysis of three-dimension... 2012 2026 2016 2021 2012 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
C. Lomas United Kingdom 14 443 379 366 309 240 24 1.2k
Graeme J. Dougherty United States 18 203 0.5× 472 1.2× 132 0.4× 741 2.4× 70 0.3× 44 2.0k
S G Zimmer United States 18 167 0.4× 232 0.6× 116 0.3× 834 2.7× 33 0.1× 38 1.3k
Folke Schriever Germany 19 364 0.8× 283 0.7× 126 0.3× 390 1.3× 33 0.1× 32 1.7k
RA Ashmun United States 19 101 0.2× 976 2.6× 378 1.0× 1.1k 3.7× 68 0.3× 31 2.3k
Ellen J. Wehrens Netherlands 20 274 0.6× 403 1.1× 93 0.3× 410 1.3× 57 0.2× 31 1.4k
Kartoosh Heydari United States 18 97 0.2× 139 0.4× 180 0.5× 643 2.1× 85 0.4× 25 1.2k
Novalia Pishesha United States 19 293 0.7× 567 1.5× 65 0.2× 803 2.6× 225 0.9× 32 1.8k
Kirsten Tangemann United States 13 87 0.2× 628 1.7× 174 0.5× 739 2.4× 83 0.3× 14 2.0k
L M Pilarski Canada 24 119 0.3× 242 0.6× 269 0.7× 513 1.7× 27 0.1× 50 1.5k
Catherine Rogers United Kingdom 20 108 0.2× 466 1.2× 409 1.1× 1.3k 4.3× 68 0.3× 29 1.7k

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-authorship network of co-authors of C. Lomas

This figure shows the co-authorship network connecting the top 25 collaborators of C. Lomas. A scholar is included among the top collaborators of C. Lomas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C. Lomas. C. Lomas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sousa, Pedro Santos e, Laura Jardine, Ivana R. Ferrer, et al.. (2018). Peripheral tissues reprogram CD8+ T cells for pathogenicity during graft-versus-host disease. JCI Insight. 3(5). 17 indexed citations
2.
Caldwell, John, Manjuan Liu, Nathan Brown, et al.. (2016). Synthesis and Evaluation of a 2,11‐Cembranoid‐Inspired Library. Chemistry - A European Journal. 22(16). 5657–5664. 9 indexed citations
3.
Vinci, Maria, Sharon Gowan, Frances Boxall, et al.. (2012). Advances in establishment and analysis of three-dimensional tumor spheroid-based functional assays for target validation and drug evaluation. BMC Biology. 10(1). 29–29. 783 indexed citations breakdown →
5.
Lomas, C., J. Watt, Marylise Beolet, et al.. (1994). FPTT is a low‐incidence Rh antigen associated with a “new” partial Rh D phenotype, DFR. Transfusion. 34(7). 612–616. 36 indexed citations
6.
Huang, CH, C. Lomas, Geoff Daniels, & OO Blumenfeld. (1994). Glycophorin He(Sta) of the human red blood cell membrane is encoded by a complex hybrid gene resulting from two recombinational events. Blood. 83(11). 3369–3376. 8 indexed citations
7.
Lomas, C., Kenneth A. McColl, & Patricia Tippett. (1993). Further complexities of the Rh antigen D disclosed by testing category DII cells with monoclonal anti‐D. Transfusion Medicine. 3(1). 67–69. 69 indexed citations
8.
Lippé, Roger, et al.. (1991). Adenovirus infection inhibits the phosphorylation of major histocompatibility complex class I proteins.. The Journal of Experimental Medicine. 174(5). 1159–1166. 16 indexed citations
9.
Poole, Joyce, Hein Hustinx, H Gerber, et al.. (1990). The Red Cell Antigen JAL in the Swiss Population: Family Studies Showing That JAL Is an Rh Antigen (RH48). Vox Sanguinis. 59(1). 44–47. 12 indexed citations
10.
Sonneborn, H.‐H., et al.. (1990). Comparison of the Reactions of the Rh‐Related Murine Monoclonal Antibodies BS58 and R6A. Vox Sanguinis. 58(3). 219–223. 9 indexed citations
11.
Lomas, C., et al.. (1990). A Low‐Incidence Red Cell Antigen JAL Associated with Two Unusual Rh Gene Complexes. Vox Sanguinis. 59(1). 39–43. 16 indexed citations
12.
BOWELL, P. J., et al.. (1990). Rh immunization by the partial D antigen of category DVa. British Journal of Haematology. 76(4). 537–539. 38 indexed citations
13.
Lomas, C., Patricia Tippett, K. M. Thompson, M.D. Melamed, & N. C. Hughes‐Jones. (1989). Demonstration of Seven Epitopes on the Rh Antigen D Using Human Monoclonal Anti‐D Antibodies and Red Cells from D Categories. Vox Sanguinis. 57(4). 261–264. 86 indexed citations
14.
Tippett, Patricia & C. Lomas. (1988). Monoclonal Rh antibodies. Revue Franç aise de Transfusion et Immuno-hé matologie. 31(2). 167–173. 3 indexed citations
15.
Bizot, Maud, et al.. (1988). An antiserum identifying a red cell determinant expressed by Rh:33 and by some “new” depressed Rh phenotypes. Transfusion. 28(4). 342–345. 18 indexed citations
16.
Ferguson, David, et al.. (1984). Transient anti‐D in an Rh‐positive patient with congenital dyserythropoietic anemia type II. Transfusion. 24(2). 169–170. 1 indexed citations
17.
Sistonen, P., et al.. (1983). Genetic polymorphism of the LW blood group system. Annals of Human Genetics. 47(4). 277–284. 15 indexed citations
18.
Levene, C., et al.. (1983). The Rh antigen Tar (Rh40) causing haemolytic disease of the newborn. Clinical & Laboratory Haematology. 5(3). 303–305. 4 indexed citations
19.
Knowles, R. W., et al.. (1982). TWO MONOCLONAL ANTIBODIES DETECTING HIGH FREQUENCY ANTIGENS ABSENT FROM RED CELLS OF THE DOMINANT TYPE OF Lu (a‐b‐) Lu:‐3. International Journal of Immunogenetics. 9(5). 353–357. 18 indexed citations
20.
Moore, B. P. L., et al.. (1981). THE RARE Rh HAPLOTYPES ‐D‐ AND — IN A FAMILY WITH A ‐D‐/— PROPOSITUS. International Journal of Immunogenetics. 8(3). 243–247. 2 indexed citations

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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