Timothy Connelley

2.6k total citations
47 papers, 808 citations indexed

About

Timothy Connelley is a scholar working on Immunology, Molecular Biology and Parasitology. According to data from OpenAlex, Timothy Connelley has authored 47 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Immunology, 14 papers in Molecular Biology and 11 papers in Parasitology. Recurrent topics in Timothy Connelley's work include T-cell and B-cell Immunology (21 papers), Immune Cell Function and Interaction (20 papers) and vaccines and immunoinformatics approaches (11 papers). Timothy Connelley is often cited by papers focused on T-cell and B-cell Immunology (21 papers), Immune Cell Function and Interaction (20 papers) and vaccines and immunoinformatics approaches (11 papers). Timothy Connelley collaborates with scholars based in United Kingdom, United States and Kenya. Timothy Connelley's co-authors include Niall D. MacHugh, W. Ivan Morrison, W. Ivan Morrison, Keun Seok Seo, J. Ross Fitzgerald, Caitriona M. Guinane, Gillian Wilson, Joo Youn Park, Alison Burrells and Shirley A. Ellis and has published in prestigious journals such as The Journal of Immunology, Scientific Reports and Infection and Immunity.

In The Last Decade

Timothy Connelley

46 papers receiving 799 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy Connelley United Kingdom 15 362 291 215 157 125 47 808
Gaël Auray Switzerland 19 395 1.1× 301 1.0× 213 1.0× 103 0.7× 114 0.9× 28 1.0k
G. Todd Pharr United States 23 394 1.1× 245 0.8× 190 0.9× 227 1.4× 107 0.9× 60 1.2k
Deepanker Tewari United States 19 205 0.6× 236 0.8× 153 0.7× 110 0.7× 117 0.9× 65 1.0k
Edith Paxton United Kingdom 17 115 0.3× 207 0.7× 211 1.0× 279 1.8× 47 0.4× 35 743
Eva Wattrang Sweden 21 471 1.3× 303 1.0× 143 0.7× 84 0.5× 228 1.8× 66 1.3k
J. Aucouturier France 10 399 1.1× 181 0.6× 241 1.1× 61 0.4× 81 0.6× 11 815
Di Sun China 13 177 0.5× 185 0.6× 169 0.8× 39 0.2× 84 0.7× 91 760
James R. Deringer United States 14 213 0.6× 328 1.1× 210 1.0× 52 0.3× 53 0.4× 19 668
Ján Matiašovic Czechia 16 188 0.5× 196 0.7× 86 0.4× 49 0.3× 88 0.7× 66 714
Paula Ferreira Portugal 19 202 0.6× 299 1.0× 136 0.6× 140 0.9× 33 0.3× 39 944

Countries citing papers authored by Timothy Connelley

Since Specialization
Citations

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

Fields of papers citing papers by Timothy Connelley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy Connelley

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy Connelley. A scholar is included among the top collaborators of Timothy Connelley 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 Timothy Connelley. Timothy Connelley 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.
Connelley, Timothy, et al.. (2024). Large scale transcriptional analysis of MHC class I haplotype diversity in sheep. HLA. 103(2). e15356–e15356. 3 indexed citations
2.
3.
Hooij, Anouk van, Zijie Zhou, Daniëlle de Jong, et al.. (2023). Development of lateral flow assays to detect host proteins in cattle for improved diagnosis of bovine tuberculosis. Frontiers in Veterinary Science. 10. 1193332–1193332. 4 indexed citations
4.
Tzelos, Thomas, et al.. (2023). High-Resolution Genotyping of Expressed Equine MHC Reveals a Highly Complex MHC Structure. Genes. 14(7). 1422–1422. 1 indexed citations
5.
Simuunza, Martin, Thomas Tzelos, King S. Nalubamba, et al.. (2023). High throughput analysis of MHC class I and class II diversity of Zambian indigenous cattle populations. HLA. 101(5). 458–483. 5 indexed citations
6.
Talenti, Andrea, Jessica Powell, David Wragg, et al.. (2022). Optical mapping compendium of structural variants across global cattle breeds. Scientific Data. 9(1). 618–618. 8 indexed citations
7.
Zhang, Fengqiu, et al.. (2022). Next generation sequencing of transcribed genes in ruminant γδ T cell populations. Molecular Immunology. 149. 129–142. 1 indexed citations
8.
Lefèvre, Lucas, et al.. (2022). γδ TCRs Function as Innate-like Receptors in the Bovine γδ T Cell Response against Leptospira. The Journal of Immunology. 209(10). 1870–1879. 2 indexed citations
9.
Edmans, Matthew, Timothy Connelley, S. Jayaraman, et al.. (2021). Identification and Phenotype of MAIT Cells in Cattle and Their Response to Bacterial Infections. Frontiers in Immunology. 12. 627173–627173. 14 indexed citations
10.
Smith, Timothy P. L., et al.. (2021). Characterization of the domestic goat γδ T cell receptor gene loci and gene usage. Immunogenetics. 73(2). 187–201. 8 indexed citations
11.
Powell, Jessica, James Prendergast, Liam J. Morrison, et al.. (2020). Inverted CD4+/CD8+ T cell ratio in Boran (Bos indicus) cattle. Veterinary Immunology and Immunopathology. 230. 110126–110126. 8 indexed citations
12.
Damani‐Yokota, Payal, et al.. (2018). Bovine T cell receptors and γδ WC1 co-receptor transcriptome analysis during the first month of life. Developmental & Comparative Immunology. 88. 190–199. 14 indexed citations
13.
Corbishley, Alexander, Timothy Connelley, Eliza B. Wolfson, et al.. (2016). Identification of epitopes recognised by mucosal CD4+ T-cell populations from cattle experimentally colonised with Escherichia coli O157:H7. Veterinary Research. 47(1). 90–90. 8 indexed citations
14.
Åkesson, Caroline Piercey, Anne K. Storset, Sonia Lacroix‐Lamandé, et al.. (2015). The early intestinal immune response in experimental neonatal ovine cryptosporidiosis is characterized by an increased frequency of perforin expressing NCR1+ NK cells and by NCR1− CD8+ cell recruitment. Veterinary Research. 46(1). 28–28. 19 indexed citations
15.
Bell, C. Ritchie, Niall D. MacHugh, Timothy Connelley, Kathryn A. Degnan, & W. Ivan Morrison. (2015). Haematopoietic depletion in vaccine-induced neonatal pancytopenia depends on both the titre and specificity of alloantibody and levels of MHC I expression. Vaccine. 33(30). 3488–3496. 8 indexed citations
16.
Connelley, Timothy, et al.. (2014). Genomic analysis offers insights into the evolution of the bovine TRA/TRD locus. BMC Genomics. 15(1). 994–994. 26 indexed citations
17.
Boysen, Preben, Caroline Piercey Åkesson, Gjermund Gunnes, et al.. (2013). Characterization of NCR1+ cells residing in lymphoid tissues in the gut of lambs indicates that the majority are NK cells. Veterinary Research. 44(1). 109–109. 4 indexed citations
18.
Wilson, Gillian, Keun Seok Seo, Timothy Connelley, et al.. (2011). A Novel Core Genome-Encoded Superantigen Contributes to Lethality of Community-Associated MRSA Necrotizing Pneumonia. PLoS Pathogens. 7(10). e1002271–e1002271. 154 indexed citations
19.
Macdonald, Isabel, Maria Harkiolaki, Lawrence Hunt, et al.. (2010). MHC Class I Bound to an Immunodominant Theileria parva Epitope Demonstrates Unconventional Presentation to T Cell Receptors. PLoS Pathogens. 6(10). e1001149–e1001149. 47 indexed citations
20.
Connelley, Timothy, Niall D. MacHugh, Alison Burrells, & W. Ivan Morrison. (2008). Dissection of the clonal composition of bovine αβ T cell responses using T cell receptor Vβ subfamily-specific PCR and heteroduplex analysis. Journal of Immunological Methods. 335(1-2). 28–40. 14 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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