Rachel E. Crossland

693 total citations
35 papers, 517 citations indexed

About

Rachel E. Crossland is a scholar working on Molecular Biology, Cancer Research and Hematology. According to data from OpenAlex, Rachel E. Crossland has authored 35 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 17 papers in Cancer Research and 10 papers in Hematology. Recurrent topics in Rachel E. Crossland's work include Extracellular vesicles in disease (19 papers), MicroRNA in disease regulation (15 papers) and Hematopoietic Stem Cell Transplantation (10 papers). Rachel E. Crossland is often cited by papers focused on Extracellular vesicles in disease (19 papers), MicroRNA in disease regulation (15 papers) and Hematopoietic Stem Cell Transplantation (10 papers). Rachel E. Crossland collaborates with scholars based in United Kingdom, Austria and Poland. Rachel E. Crossland's co-authors include Anne M. Dickinson, Jean Norden, Hildegard Greinix, Clare Lendrem, Mateja Kralj Juric, Kim Pearce, Chris M. Bacon, Vikki Rand, Simon Bomken and Despina Televantou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Scientific Reports.

In The Last Decade

Rachel E. Crossland

31 papers receiving 515 citations

Peers

Rachel E. Crossland
Rachel E. Crossland
Citations per year, relative to Rachel E. Crossland Rachel E. Crossland (= 1×) peers Takuma Ishizaki

Countries citing papers authored by Rachel E. Crossland

Since Specialization
Citations

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

Fields of papers citing papers by Rachel E. Crossland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel E. Crossland. 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 Rachel E. Crossland. The network helps show where Rachel E. Crossland may publish in the future.

Co-authorship network of co-authors of Rachel E. Crossland

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel E. Crossland. A scholar is included among the top collaborators of Rachel E. Crossland 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 Rachel E. Crossland. Rachel E. Crossland 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.
Kay, Alasdair G., Tony R. Larson, Rachel E. Crossland, et al.. (2025). Extracellular vesicle bioactivity and potential for clinical development are determined by mesenchymal stromal cell clonal subtype. Stem Cell Research & Therapy. 16(1). 571–571.
2.
Wang, Xiaonong, et al.. (2024). Role of mesenchymal stem cell conditioned medium on wound healing using a developed 3D skin model. Journal of Wound Care. 33(Sup8a). clxxxii–cxciii. 1 indexed citations
3.
Scalzone, Annachiara, Clara Sanjurjo‐Rodríguez, Rolando Berlinguer‐Palmini, et al.. (2024). Functional and Molecular Analysis of Human Osteoarthritic Chondrocytes Treated with Bone Marrow-Derived MSC-EVs. Bioengineering. 11(4). 388–388. 10 indexed citations
4.
Salmenniemi, Urpu, Maija Itälä‐Remes, Rachel E. Crossland, et al.. (2024). Donor genetic determinant of thymopoiesis, rs2204985, and stem cell transplantation outcome in a multipopulation cohort. Human Immunology. 85(3). 110791–110791.
5.
Salmenniemi, Urpu, Maija Itälä‐Remes, Rachel E. Crossland, et al.. (2024). Effect of NK cell receptor genetic variation on allogeneic stem cell transplantation outcome and in vitro NK cell cytotoxicity. Scientific Reports. 14(1). 26988–26988. 1 indexed citations
6.
Maunder, Daniel, Philip M. Brown, Dennis Lendrem, et al.. (2023). Micro-RNA content of circulating extracellular vesicles in early rheumatoid arthritis as biomarkers and mediators of methotrexate efficacy. Lara D. Veeken. 63(8). 2259–2267. 8 indexed citations
7.
Crossland, Rachel E., Clara Sanjurjo‐Rodríguez, Monica Reis, et al.. (2023). MicroRNA profiling of low concentration extracellular vesicle RNA utilizing NanoString nCounter technology. SHILAP Revista de lepidopterología. 2(1). e72–e72. 13 indexed citations
8.
Łacina, Piotr, Johanna Strobl, Katarzyna Bogunia‐Kubik, et al.. (2023). Complex interactions of cellular players in chronic Graft-versus-Host Disease. Frontiers in Immunology. 14. 1199422–1199422. 9 indexed citations
9.
Worel, Nina, Georg Stary, Agnieszka Piekarska, et al.. (2023). Extracorporeal photopheresis as an immunomodulatory treatment modality for chronic GvHD and the importance of emerging biomarkers. Frontiers in Immunology. 14. 1086006–1086006. 7 indexed citations
10.
Łacina, Piotr, Rachel E. Crossland, Anna Czyż, et al.. (2022). Differential expression of miRNAs from extracellular vesicles in chronic graft-versus-host disease: A preliminary study. Advances in Clinical and Experimental Medicine. 32(5). 539–544. 10 indexed citations
11.
Doglio, Matteo, Rachel E. Crossland, Ana C. Alho, et al.. (2022). Cell-based therapy in prophylaxis and treatment of chronic graft-versus-host disease. Frontiers in Immunology. 13. 1045168–1045168. 9 indexed citations
12.
Sanjurjo‐Rodríguez, Clara, Rachel E. Crossland, Monica Reis, et al.. (2021). Characterization and miRNA Profiling of Extracellular Vesicles from Human Osteoarthritic Subchondral Bone Multipotential Stromal Cells (MSCs). Stem Cells International. 2021. 1–16. 14 indexed citations
14.
Crossland, Rachel E., Sarah Wilkinson, Amir Enshaei, et al.. (2021). Genomic abnormalities of TP53 define distinct risk groups of paediatric B-cell non-Hodgkin lymphoma. Leukemia. 36(3). 781–789. 23 indexed citations
15.
Partanen, Jukka, Kati Hyvärinen, Heike Bickeböller, et al.. (2020). Review of Genetic Variation as a Predictive Biomarker for Chronic Graft-Versus-Host-Disease After Allogeneic Stem Cell Transplantation. Frontiers in Immunology. 11. 575492–575492. 12 indexed citations
16.
Bakhashab, Sherin, et al.. (2018). Anti-Angiogenic miR-222, miR-195, and miR-21a Plasma Levels in T1DM Are Improved by Metformin Therapy, Thus Elucidating Its Cardioprotective Effect: The MERIT Study. International Journal of Molecular Sciences. 19(10). 3242–3242. 23 indexed citations
17.
Blair, Helen J., Huw D. Thomas, Nicole Phillips, et al.. (2017). Inhibition of monocarboxyate transporter 1 by AZD3965 as a novel therapeutic approach for diffuse large B-cell lymphoma and Burkitt lymphoma. Haematologica. 102(7). 1247–1257. 119 indexed citations
18.
Crossland, Rachel E., Jean Norden, Mateja Kralj Juric, et al.. (2017). Serum and Extracellular Vesicle MicroRNAs miR-423, miR-199, and miR-93* As Biomarkers for Acute Graft-versus-Host Disease. Frontiers in Immunology. 8. 1446–1446. 30 indexed citations
19.
Crossland, Rachel E., et al.. (2015). Evaluation of optimal extracellular vesicle small RNA isolation and qRT-PCR normalisation for serum and urine. Journal of Immunological Methods. 429. 39–49. 67 indexed citations
20.
Carey, Christopher D., Daniel Gusenleitner, Bjoern Chapuy, et al.. (2014). Molecular Classification of MYC-Driven B-Cell Lymphomas by Targeted Gene Expression Profiling of Fixed Biopsy Specimens. Journal of Molecular Diagnostics. 17(1). 19–30. 19 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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