R. Laylor

2.2k citations
11 papers · 1.7k indexed · 1 hit paper · h-index 8

Impact in

Papers in

R. Laylor

11 papers receiving 1.7k citations

Hit Papers

Bone marrow mesenchymal stem cells inhibit the response of naive and memory antigen-specific T cells to their cognate peptide 2003 · 1.3k citations
1.3k20032026201020184008001.2k

Peers

R. Laylor
Comparison fields: 5 of 78
  • Genetics 1.2k
  • Transplantation 131
  • Hematology 324
  • Immunology 393
  • Developmental Neuroscience 59
Replace Steve Devine with:
Steve Devine United States
Alwine B. Kruisselbrink Netherlands
Marco Risso Italy
Abderrahim Naji France
Ellie G.A. Lurvink Netherlands
Karen Ferrer United States
K. D. Patrene United States
Kerry Atkinson Australia
Attila Szakos Sweden
Sander S. Korevaar Netherlands
R. Laylor relative to Steve Devine United States Steve Devine's profile →
Citations per field
00.5×1.5×
Steve Devine · 1×
Citations per year

Countries citing papers authored by R. Laylor

Since Specialization
Citations

This map shows the geographic impact of R. Laylor'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 R. Laylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Laylor more than expected).

Fields of papers citing papers by R. Laylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Laylor. 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 R. Laylor. The network helps show where R. Laylor may publish in the future.

Co-authorship network

The 25 scholars most cited alongside R. Laylor, 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 R. Laylor Line = papers co-authored together R. Laylor links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 200513
2 20051
3 20047
4 2004102
5
Bone marrow mesenchymal stem cells inhibit the response of naive and memory antigen-specific T cells to their cognate peptide
Hit paper breakdown →
20031269
6 200192
7 20006
8 199932
9 19972
10 199583
11 1993105

About R. Laylor

R. Laylor is a scholar working on Transplantation, Hematology, Genetics, Immunology and Biotechnology, having authored 11 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (5 papers), Transplantation: Methods and Outcomes (4 papers), T-cell and B-cell Immunology (3 papers), Renal Transplantation Outcomes and Treatments (2 papers), Mesenchymal stem cell research (2 papers), Immunotherapy and Immune Responses (2 papers), Immune Response and Inflammation (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Genetics (1.2k citations), Transplantation (131 citations), Hematology (324 citations), Immunology (393 citations) and Developmental Neuroscience (59 citations). R. Laylor has collaborated with scholars based in United Kingdom and Spain. Frequent co-authors include Francesco Dazzi, Elizabeth Simpson, Sarah J. Glennie, Julian Dyson, Diane Scott, Mauro Krampera, John D. Smith, Marlene L. Rose, Magdi H. Yacoub and Anna J. Danskine. Their work appears in journals such as British Journal of Cancer, The Annals of Thoracic Surgery, Clinical & Experimental Immunology, Leukemia and Transplant Immunology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026