Robert Danby

1.2k total citations
31 papers, 483 citations indexed

About

Robert Danby is a scholar working on Hematology, Immunology and Oncology. According to data from OpenAlex, Robert Danby has authored 31 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Hematology, 15 papers in Immunology and 8 papers in Oncology. Recurrent topics in Robert Danby's work include Hematopoietic Stem Cell Transplantation (20 papers), Immune Cell Function and Interaction (15 papers) and T-cell and B-cell Immunology (8 papers). Robert Danby is often cited by papers focused on Hematopoietic Stem Cell Transplantation (20 papers), Immune Cell Function and Interaction (15 papers) and T-cell and B-cell Immunology (8 papers). Robert Danby collaborates with scholars based in United Kingdom, France and Brazil. Robert Danby's co-authors include Vanderson Rocha, J. Alejandro Madrigal, Aurore Saudemont, Richard Duggleby, Andy Peniket, David J. Roberts, Charles Craddock, Patrick Medd, Abigail Lamikanra and Tim Littlewood and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Immunology.

In The Last Decade

Robert Danby

28 papers receiving 477 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Danby United Kingdom 11 256 194 108 72 69 31 483
Kun Soo Lee South Korea 12 287 1.1× 126 0.6× 98 0.9× 60 0.8× 71 1.0× 43 449
Heather E. Stefanski United States 14 240 0.9× 361 1.9× 133 1.2× 56 0.8× 75 1.1× 54 631
Tommaso Stefanelli Italy 7 259 1.0× 161 0.8× 93 0.9× 97 1.3× 47 0.7× 24 490
Maryam Behfar Iran 10 161 0.6× 156 0.8× 69 0.6× 72 1.0× 44 0.6× 68 415
Piya Rujkijyanont Thailand 12 235 0.9× 207 1.1× 89 0.8× 123 1.7× 47 0.7× 48 529
Fernanda Volt France 11 271 1.1× 93 0.5× 77 0.7× 119 1.7× 46 0.7× 34 404
Sinem Civriz Bozdağ Türkiye 10 214 0.8× 71 0.4× 114 1.1× 76 1.1× 52 0.8× 61 397
Meiqing Wu China 10 256 1.0× 86 0.4× 134 1.2× 79 1.1× 71 1.0× 40 442
Andreza Alice Feitosa Ribeiro Brazil 12 251 1.0× 112 0.6× 117 1.1× 133 1.8× 32 0.5× 44 456
Motoko Koyama United States 8 291 1.1× 269 1.4× 99 0.9× 38 0.5× 29 0.4× 13 491

Countries citing papers authored by Robert Danby

Since Specialization
Citations

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

Fields of papers citing papers by Robert Danby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Danby

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Danby. A scholar is included among the top collaborators of Robert Danby 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 Robert Danby. Robert Danby 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
2.
Cox, S.T., Richard Duggleby, J. Alejandro Madrigal, et al.. (2024). Impact of donor NKG2D and MICA gene polymorphism on clinical outcomes of adult and paediatric allogeneic cord blood transplantation for malignant diseases. European Journal Of Haematology. 113(1). 32–43. 1 indexed citations
3.
Rivera‐Franco, Monica M., Fernanda Volt, Diana Hernandez, et al.. (2024). Unsupervised Clustering Analysis of Regimen and HLA Characteristics in Pediatric Umbilical Cord Blood Transplantation. Transplantation and Cellular Therapy. 30(9). 910.e1–910.e15. 1 indexed citations
4.
6.
Coelho‐Silva, Juan Luiz, Grant Vallance, Diego A. Pereira‐Martins, et al.. (2020). A multicenter comparative acute myeloid leukemia study: can we explain the differences in the outcomes in resource-constrained settings?. Leukemia & lymphoma. 62(1). 147–157. 6 indexed citations
7.
Xu, Yifei, Kuiama Lewandowski, Katie Jeffery, et al.. (2020). Nanopore metagenomic sequencing to investigate nosocomial transmission of human metapneumovirus from a unique genetic group among haematology patients in the United Kingdom. Journal of Infection. 80(5). 571–577. 20 indexed citations
8.
Duggleby, Richard, Hoi Pat Tsang, Alasdair McWhinnie, et al.. (2020). Enumerating regulatory T cells in cryopreserved umbilical cord blood samples using FOXP3 methylation specific quantitative PCR. PLoS ONE. 15(10). e0240190–e0240190. 2 indexed citations
10.
Danby, Robert, et al.. (2019). The fight against cancer: is harnessing the immune system the ultimate strategy?. British Journal of Hospital Medicine. 80(10). 568–573. 2 indexed citations
11.
Salisbury, Richard Anthony, Katie Jeffery, Siraj Misbah, et al.. (2019). Treatment stratification of respiratory syncytial virus infection in allogeneic stem cell transplantation. Journal of Infection. 78(6). 461–467. 8 indexed citations
12.
Danby, Robert, et al.. (2018). Haematopoietic stem cell transplants: principles and indications. British Journal of Hospital Medicine. 80(1). 33–39. 82 indexed citations
13.
Brierley, Charlotte, Andy Peniket, Chris Hatton, et al.. (2018). Impact of graft‐versus‐lymphoma effect on outcomes after reduced intensity conditioned‐alemtuzumab allogeneic haematopoietic stem cell transplantation for patients with mature lymphoid malignancies. British Journal of Haematology. 184(4). 547–557. 7 indexed citations
14.
Duggleby, Richard, Robert Danby, J. Alejandro Madrigal, & Aurore Saudemont. (2018). Clinical Grade Regulatory CD4+ T Cells (Tregs): Moving Toward Cellular-Based Immunomodulatory Therapies. Frontiers in Immunology. 9. 252–252. 59 indexed citations
15.
Rocha, Vanderson, Robert Danby, Annalisa Ruggeri, et al.. (2017). Umbilical Cord Blood Cytomegalovirus Serostatus Does Not Have an Impact on Outcomes of Umbilical Cord Blood Transplantation for Acute Leukemia. Biology of Blood and Marrow Transplantation. 23(10). 1729–1735. 2 indexed citations
16.
Rocha, Vanderson, Annalisa Ruggeri, Stephen R. Spellman, et al.. (2016). Killer Cell Immunoglobulin-Like Receptor–Ligand Matching and Outcomes after Unrelated Cord Blood Transplantation in Acute Myeloid Leukemia. Biology of Blood and Marrow Transplantation. 22(7). 1284–1289. 20 indexed citations
17.
Zhang, Wei, Jon Smythe, Sophie Clarke, et al.. (2015). An innovative method to generate a Good Manufacturing Practice–ready regulatory T-cell product from non-mobilized leukapheresis donors. Cytotherapy. 17(9). 1268–1279. 6 indexed citations
18.
Danby, Robert, Patrick Medd, Tim Littlewood, et al.. (2015). High proportions of regulatory T cells in PBSC grafts predict improved survival after allogeneic haematopoietic SCT. Bone Marrow Transplantation. 51(1). 110–118. 31 indexed citations
19.
Danby, Robert & Vanderson Rocha. (2014). Improving Engraftment and Immune Reconstitution in Umbilical Cord Blood Transplantation. Frontiers in Immunology. 5. 68–68. 89 indexed citations
20.
Medd, Patrick, Simon Littlewood, Robert Danby, et al.. (2010). Paraproteinaemia after allo-SCT, association with alemtuzumab-based conditioning and CMV reactivation. Bone Marrow Transplantation. 46(7). 993–999. 4 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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