Daniel B. Rainbow

5.5k total citations
35 papers, 1.3k citations indexed

About

Daniel B. Rainbow is a scholar working on Genetics, Immunology and Surgery. According to data from OpenAlex, Daniel B. Rainbow has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 21 papers in Immunology and 12 papers in Surgery. Recurrent topics in Daniel B. Rainbow's work include Diabetes and associated disorders (20 papers), Immune Cell Function and Interaction (17 papers) and T-cell and B-cell Immunology (16 papers). Daniel B. Rainbow is often cited by papers focused on Diabetes and associated disorders (20 papers), Immune Cell Function and Interaction (17 papers) and T-cell and B-cell Immunology (16 papers). Daniel B. Rainbow collaborates with scholars based in United Kingdom, United States and Germany. Daniel B. Rainbow's co-authors include Linda S. Wicker, John A. Todd, Laurence B. Peterson, William M. Ridgway, Yuehong Wu, Ricardo C. Ferreira, Marcin Ł. Pękalski, Kara Hunter, Antony J. Cutler and Michael A. Nalesnik and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Daniel B. Rainbow

35 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel B. Rainbow United Kingdom 20 606 441 292 247 239 35 1.3k
Maria Bettini United States 18 885 1.5× 396 0.9× 261 0.9× 102 0.4× 35 0.1× 40 1.3k
Kalle Kisand Estonia 19 231 0.4× 311 0.7× 289 1.0× 114 0.5× 79 0.3× 49 938
Irena Kirman United States 20 557 0.9× 284 0.6× 267 0.9× 169 0.7× 30 0.1× 50 1.3k
K A Siminovitch Canada 18 548 0.9× 122 0.3× 131 0.4× 227 0.9× 86 0.4× 22 1.2k
Jae Lee United States 8 580 1.0× 530 1.2× 299 1.0× 80 0.3× 47 0.2× 8 1.1k
Hong Rae Cho South Korea 16 1.1k 1.9× 200 0.5× 562 1.9× 161 0.7× 55 0.2× 50 2.0k
Laurence Bouchet‐Delbos France 21 781 1.3× 97 0.2× 112 0.4× 227 0.9× 58 0.2× 37 1.5k
Charlotte R. Grant United Kingdom 19 496 0.8× 134 0.3× 227 0.8× 594 2.4× 697 2.9× 29 1.4k
Carlo Socci Italy 16 480 0.8× 260 0.6× 464 1.6× 65 0.3× 54 0.2× 38 1.2k
Racquel Corpuz United States 10 395 0.7× 92 0.2× 208 0.7× 172 0.7× 77 0.3× 13 1.3k

Countries citing papers authored by Daniel B. Rainbow

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Rainbow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel B. Rainbow. 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 Daniel B. Rainbow. The network helps show where Daniel B. Rainbow may publish in the future.

Co-authorship network of co-authors of Daniel B. Rainbow

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel B. Rainbow. A scholar is included among the top collaborators of Daniel B. Rainbow 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 Daniel B. Rainbow. Daniel B. Rainbow 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.
Howlett, Sarah, Lorna B. Jarvis, Daniel B. Rainbow, et al.. (2024). FlowAtlas: an interactive tool for high-dimensional immunophenotyping analysis bridging FlowJo with computational tools in Julia. Frontiers in Immunology. 15. 1425488–1425488. 1 indexed citations
2.
Rainbow, Daniel B., Lorna B. Jarvis, Nick Cunniffe, et al.. (2021). The MS Remyelinating Drug Bexarotene (an RXR Agonist) Promotes Induction of Human Tregs and Suppresses Th17 Differentiation In Vitro. Frontiers in Immunology. 12. 712241–712241. 16 indexed citations
3.
Trzupek, Dominik, Melanie Dunstan, Antony J. Cutler, et al.. (2020). Discovery of CD80 and CD86 as recent activation markers on regulatory T cells by protein-RNA single-cell analysis. Genome Medicine. 12(1). 55–55. 69 indexed citations
4.
Asimit, Jennifer L., Daniel B. Rainbow, Mary D Fortune, et al.. (2019). Stochastic search and joint fine-mapping increases accuracy and identifies previously unreported associations in immune-mediated diseases. Nature Communications. 10(1). 3216–3216. 14 indexed citations
5.
Mattner, Jochen, Javid P. Mohammed, Michael E. Fusakio, et al.. (2019). Genetic and functional data identifying Cd101 as a type 1 diabetes (T1D) susceptibility gene in nonobese diabetic (NOD) mice. PLoS Genetics. 15(6). e1008178–e1008178. 10 indexed citations
6.
Ferreira, Ricardo C., Xaquín Castro Dopico, Daniel B. Rainbow, et al.. (2019). Chronic Immune Activation in Systemic Lupus Erythematosus and the Autoimmune PTPN22 Trp620 Risk Allele Drive the Expansion of FOXP3+ Regulatory T Cells and PD-1 Expression. Frontiers in Immunology. 10. 2606–2606. 27 indexed citations
7.
Rainbow, Daniel B., Christopher L. Pinder, Clarke Pamela, et al.. (2018). The plasma biomarker soluble SIGLEC-1 is associated with the type I interferon transcriptional signature, ethnic background and renal disease in systemic lupus erythematosus. Arthritis Research & Therapy. 20(1). 152–152. 46 indexed citations
8.
Ferreira, Ricardo C., Daniel B. Rainbow, Marcin Ł. Pękalski, et al.. (2017). In-depth immunophenotyping data of IL-6R on the human peripheral regulatory T cell (Treg) compartment. Data in Brief. 12. 676–691. 6 indexed citations
9.
Ferreira, Ricardo C., Whitney S. Thompson, Daniel B. Rainbow, et al.. (2017). Cells with Treg-specific FOXP3 demethylation but low CD25 are prevalent in autoimmunity. Journal of Autoimmunity. 84. 75–86. 64 indexed citations
10.
Ferreira, Ricardo C., Daniel B. Rainbow, Marcin Ł. Pękalski, et al.. (2017). Human IL-6R hi TIGIT − CD4 + CD127 low CD25 + T cells display potent in vitro suppressive capacity and a distinct Th17 profile. Clinical Immunology. 179. 25–39. 13 indexed citations
11.
Kruger, Annie J., Sudipta Tripathi, Bing Zhu, et al.. (2014). Blockade of the Programmed Death-1 (PD1) Pathway Undermines Potent Genetic Protection from Type 1 Diabetes. PLoS ONE. 9(2). e89561–e89561. 53 indexed citations
12.
Esposito, Laura, Kara Hunter, Jan Clark, et al.. (2014). Investigation of Soluble and Transmembrane CTLA-4 Isoforms in Serum and Microvesicles. The Journal of Immunology. 193(2). 889–900. 28 indexed citations
13.
Hamilton‐Williams, Emma E., Daniel B. Rainbow, Kara Hunter, et al.. (2013). Genetic Interactions among Idd3, Idd5.1, Idd5.2, and Idd5.3 Protective Loci in the Nonobese Diabetic Mouse Model of Type 1 Diabetes. The Journal of Immunology. 190(7). 3109–3120. 16 indexed citations
14.
Ferreira, Ricardo C., Daniel F. Freitag, Antony J. Cutler, et al.. (2013). Functional IL6R 358Ala Allele Impairs Classical IL-6 Receptor Signaling and Influences Risk of Diverse Inflammatory Diseases. PLoS Genetics. 9(4). e1003444–e1003444. 207 indexed citations
15.
Hamilton‐Williams, Emma E., Daniel B. Rainbow, Jocelyn Cheung, et al.. (2013). Fine mapping of type 1 diabetes regions Idd9.1 and Idd9.2 reveals genetic complexity. Mammalian Genome. 24(9-10). 358–375. 11 indexed citations
16.
Adams, David E., Yuehong Wu, Charles A. Steward, et al.. (2012). The B10 Idd9.3 Locus Mediates Accumulation of Functionally Superior CD137+ Regulatory T Cells in the Nonobese Diabetic Type 1 Diabetes Model. The Journal of Immunology. 189(10). 5001–5015. 34 indexed citations
17.
Araki, M., Denise Chung, Sue Min Liu, et al.. (2009). Genetic Evidence That the Differential Expression of the Ligand-Independent Isoform of CTLA-4 Is the Molecular Basis of the Idd5.1 Type 1 Diabetes Region in Nonobese Diabetic Mice. The Journal of Immunology. 183(8). 5146–5157. 54 indexed citations
18.
Irie, Junichiro, Yuehong Wu, Linda S. Wicker, et al.. (2006). NOD.c3c4 congenic mice develop autoimmune biliary disease that serologically and pathogenetically models human primary biliary cirrhosis. The Journal of Experimental Medicine. 203(5). 1209–1219. 141 indexed citations
19.
Burren, Oliver S., Barry Healy, Alexander Lam, et al.. (2004). Development of an integrated genome informatics, data management and workflow infrastructure: A toolbox for the study of complex disease genetics. Human Genomics. 1(2). 98–98. 13 indexed citations
20.
Brook, Frances A., E.P. Evans, Christopher J. Lord, et al.. (2003). The Derivation of Highly Germline-Competent Embryonic Stem Cells Containing NOD-Derived Genome. Diabetes. 52(1). 205–208. 37 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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