Anthony K. Redmond

742 total citations
16 papers, 453 citations indexed

About

Anthony K. Redmond is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Anthony K. Redmond has authored 16 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 5 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Anthony K. Redmond's work include Aquaculture disease management and microbiota (8 papers), interferon and immune responses (5 papers) and Immune Response and Inflammation (4 papers). Anthony K. Redmond is often cited by papers focused on Aquaculture disease management and microbiota (8 papers), interferon and immune responses (5 papers) and Immune Response and Inflammation (4 papers). Anthony K. Redmond collaborates with scholars based in United Kingdom, Ireland and United States. Anthony K. Redmond's co-authors include Helen Dooley, Daniel J. Macqueen, Aoife McLysaght, Jun Zou, Manu Kumar Gundappa, Christopher J. Secombes, Simen R. Sandve, Peter W. H. Holland, Chris J. Secombes and Torgeir R. Hvidsten and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Anthony K. Redmond

15 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anthony K. Redmond United Kingdom 11 221 187 89 88 44 16 453
Bård Ove Karlsen Norway 16 116 0.5× 385 2.1× 148 1.7× 26 0.3× 46 1.0× 29 668
Katelyn Mika United States 8 104 0.5× 293 1.6× 122 1.4× 138 1.6× 42 1.0× 11 501
Jón Hallsteinn Hallsson Iceland 14 87 0.4× 352 1.9× 287 3.2× 83 0.9× 26 0.6× 31 803
Juhua Yu China 13 259 1.2× 178 1.0× 100 1.1× 35 0.4× 22 0.5× 42 561
Masatsugu Hatakeyama Japan 19 142 0.6× 389 2.1× 449 5.0× 112 1.3× 67 1.5× 52 1.0k
Lukas F. K. Kuderna Spain 9 51 0.2× 297 1.6× 231 2.6× 98 1.1× 19 0.4× 18 583
Aiti Vizzini Italy 18 523 2.4× 216 1.2× 32 0.4× 11 0.1× 12 0.3× 63 832
Nina Bausek United Kingdom 10 63 0.3× 175 0.9× 132 1.5× 41 0.5× 29 0.7× 13 409
Irene E. Samonte Germany 13 165 0.7× 196 1.0× 332 3.7× 72 0.8× 43 1.0× 15 637
Minjin Han China 18 73 0.3× 464 2.5× 147 1.7× 334 3.8× 12 0.3× 59 776

Countries citing papers authored by Anthony K. Redmond

Since Specialization
Citations

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

Fields of papers citing papers by Anthony K. Redmond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony K. Redmond. 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 Anthony K. Redmond. The network helps show where Anthony K. Redmond may publish in the future.

Co-authorship network of co-authors of Anthony K. Redmond

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony K. Redmond. A scholar is included among the top collaborators of Anthony K. Redmond 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 Anthony K. Redmond. Anthony K. Redmond is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Lloyd, Andrew T., et al.. (2024). Evolutionary Analysis of the Mammalian IL‐17 Cytokine Family Suggests Conserved Roles in Female Fertility. American Journal of Reproductive Immunology. 92(2). e13907–e13907.
2.
Redmond, Anthony K.. (2024). Acoelomorph flatworm monophyly is a long-branch attraction artefact obscuring a clade of Acoela and Xenoturbellida. Proceedings of the Royal Society B Biological Sciences. 291(2031). 20240329–20240329. 2 indexed citations
3.
Taylor, Richard S., Anthony K. Redmond, Rose Ruiz Daniels, et al.. (2023). Organized B cell sites in cartilaginous fishes reveal the evolutionary foundation of germinal centers. Cell Reports. 42(7). 112664–112664. 22 indexed citations
4.
Redmond, Anthony K., et al.. (2023). Independent rediploidization masks shared whole genome duplication in the sturgeon-paddlefish ancestor. Nature Communications. 14(1). 2879–2879. 27 indexed citations
5.
Taylor, Richard S., Anthony K. Redmond, Thomas Hill, et al.. (2023). Organized B cell selection sites in cartilaginous fishes reveal the evolutionary foundation of germinal center-based selection. Developmental & Comparative Immunology. 148. 104942–104942. 1 indexed citations
6.
Redmond, Anthony K., et al.. (2022). Sharks Provide Evidence for a Highly Complex TNFSF Repertoire in the Jawed Vertebrate Ancestor. The Journal of Immunology. 209(9). 1713–1723. 6 indexed citations
7.
Tan, Milton, Anthony K. Redmond, Helen Dooley, et al.. (2021). The whale shark genome reveals patterns of vertebrate gene family evolution. eLife. 10. 24 indexed citations
8.
Redmond, Anthony K. & Aoife McLysaght. (2021). Evidence for sponges as sister to all other animals from partitioned phylogenomics with mixture models and recoding. Nature Communications. 12(1). 1783–1783. 68 indexed citations
9.
Redmond, Anthony K., Jun Zou, Christopher J. Secombes, Daniel J. Macqueen, & Helen Dooley. (2019). Discovery of All Three Types in Cartilaginous Fishes Enables Phylogenetic Resolution of the Origins and Evolution of Interferons. Frontiers in Immunology. 10. 1558–1558. 53 indexed citations
10.
Redmond, Anthony K., Yuko Ohta, Michael F. Criscitiello, et al.. (2018). Haptoglobin Is a Divergent MASP Family Member That Neofunctionalized To Recycle Hemoglobin via CD163 in Mammals. The Journal of Immunology. 201(8). 2483–2491. 11 indexed citations
11.
Redmond, Anthony K., Daniel J. Macqueen, & Helen Dooley. (2018). Phylotranscriptomics suggests the jawed vertebrate ancestor could generate diverse helper and regulatory T cell subsets. BMC Evolutionary Biology. 18(1). 169–169. 21 indexed citations
12.
Robertson, Fiona, Manu Kumar Gundappa, Fabian Grammes, et al.. (2017). Lineage-specific rediploidization is a mechanism to explain time-lags between genome duplication and evolutionary diversification. Genome biology. 18(1). 111–111. 125 indexed citations
13.
Redmond, Anthony K., et al.. (2017). Outgroup, alignment and modelling improvements indicate that two TNFSF13-like genes existed in the vertebrate ancestor. Immunogenetics. 69(3). 187–192. 9 indexed citations
14.
Redmond, Anthony K., et al.. (2017). Evolutionary history of the T cell receptor complex as revealed by small-spotted catshark ( Scyliorhinus canicula ). Developmental & Comparative Immunology. 74. 125–135. 18 indexed citations
15.
Li, Ronggai, Anthony K. Redmond, Tiehui Wang, et al.. (2015). Characterisation of the TNF superfamily members CD40L and BAFF in the small-spotted catshark ( Scyliorhinus canicula ). Fish & Shellfish Immunology. 47(1). 381–389. 13 indexed citations
16.
Zou, Jun, Anthony K. Redmond, Zhitao Qi, Helen Dooley, & Chris J. Secombes. (2015). The CXC chemokine receptors of fish: Insights into CXCR evolution in the vertebrates. General and Comparative Endocrinology. 215. 117–131. 53 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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2026