Ivan Morrison

975 total citations
19 papers, 771 citations indexed

About

Ivan Morrison is a scholar working on Parasitology, Immunology and Infectious Diseases. According to data from OpenAlex, Ivan Morrison has authored 19 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Parasitology, 5 papers in Immunology and 4 papers in Infectious Diseases. Recurrent topics in Ivan Morrison's work include Vector-borne infectious diseases (4 papers), Immune Cell Function and Interaction (4 papers) and Vector-Borne Animal Diseases (3 papers). Ivan Morrison is often cited by papers focused on Vector-borne infectious diseases (4 papers), Immune Cell Function and Interaction (4 papers) and Vector-Borne Animal Diseases (3 papers). Ivan Morrison collaborates with scholars based in United Kingdom, Denmark and Argentina. Ivan Morrison's co-authors include Roy M. Anderson, D B Young, J. R. Krebs, T. H. Clutton‐Brock, Bryan Charleston, Miriam Windsor, Nicholas Juleff, Elizabeth Reid, Chris Howard and Timothy Connelley and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Journal of Virology.

In The Last Decade

Ivan Morrison

19 papers receiving 739 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Morrison United Kingdom 14 273 239 190 187 171 19 771
Giusy Cardeti Italy 17 252 0.9× 143 0.6× 149 0.8× 243 1.3× 270 1.6× 35 779
David A. Brake United States 17 416 1.5× 141 0.6× 188 1.0× 111 0.6× 308 1.8× 38 953
M. Mérza Sweden 19 443 1.6× 212 0.9× 354 1.9× 369 2.0× 359 2.1× 51 1.2k
A. A. Schudel Argentina 19 537 2.0× 227 0.9× 181 1.0× 377 2.0× 359 2.1× 50 1.0k
Kati Franzke Germany 14 346 1.3× 238 1.0× 129 0.7× 209 1.1× 273 1.6× 37 821
Nino Ficorilli Australia 20 351 1.3× 240 1.0× 95 0.5× 759 4.1× 184 1.1× 43 1.1k
Akbar Dastjerdi United Kingdom 19 229 0.8× 624 2.6× 58 0.3× 305 1.6× 170 1.0× 66 1.2k
Kenneth A. McColl Australia 20 167 0.6× 270 1.1× 330 1.7× 126 0.7× 136 0.8× 46 1.1k
B. Makoschey Germany 14 302 1.1× 312 1.3× 142 0.7× 280 1.5× 257 1.5× 46 760
M. König Germany 13 417 1.5× 219 0.9× 92 0.5× 259 1.4× 193 1.1× 25 982

Countries citing papers authored by Ivan Morrison

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Morrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Morrison

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

All Works

19 of 19 papers shown
1.
Connelley, Timothy, Annalisa Nicastri, Tara A. Sheldrake, et al.. (2022). Immunopeptidomic Analysis of BoLA-I and BoLA-DR Presented Peptides from Theileria parva Infected Cells. Vaccines. 10(11). 1907–1907. 6 indexed citations
2.
Fisch, Andressa, Birkir Reynisson, Lindert Benedictus, et al.. (2021). Integral Use of Immunopeptidomics and Immunoinformatics for the Characterization of Antigen Presentation and Rational Identification of BoLA-DR–Presented Peptides and Epitopes. The Journal of Immunology. 206(10). 2489–2497. 25 indexed citations
3.
Chaudhry, Umer, Qasim Ali, Imran Rashid, et al.. (2019). Development of a deep amplicon sequencing method to determine the species composition of piroplasm haemoprotozoa. Ticks and Tick-borne Diseases. 10(6). 101276–101276. 24 indexed citations
4.
Metcalfe, Hannah, Sabine Steinbach, Efrain Guzman, et al.. (2018). Ag85A-specific CD4 + T cell lines derived after boosting BCG-vaccinated cattle with Ad5-85A possess both mycobacterial growth inhibition and anti-inflammatory properties. Vaccine. 36(20). 2850–2854. 10 indexed citations
5.
6.
Weir, William, Jane Kinnaird, Albano Beja‐Pereira, et al.. (2016). Theileria lestoquardi displays reduced genetic diversity relative to sympatric Theileria annulata in Oman. Infection Genetics and Evolution. 43. 297–306. 16 indexed citations
7.
Craig, Nicky, et al.. (2014). Local cytokine transcription in naïve and previously infected sheep and lambs following challenge with Teladorsagia circumcincta. BMC Veterinary Research. 10(1). 87–87. 12 indexed citations
8.
Tan, Karen A. L., et al.. (2013). Macrophage migration is controlled by Tribbles 1 through the interaction between C/EBPβ and TNF-α. Veterinary Immunology and Immunopathology. 155(1-2). 67–75. 14 indexed citations
9.
Hayashida, Kyoko, Kiichi Kajino, Masakazu Hattori, et al.. (2012). MDM2 regulates a novel form of incomplete neoplastic transformation of Theileria parva infected lymphocytes. Experimental and Molecular Pathology. 94(1). 228–238. 18 indexed citations
10.
Knight, Pamela A., Alan D. Pemberton, Katherine Anderson, et al.. (2011). Novel gene expression responses in the ovine abomasal mucosa to infection with the gastric nematode Teladorsagia circumcincta. Veterinary Research. 42(1). 78–78. 23 indexed citations
11.
Connelley, Timothy, Anne K. Storset, Alan D. Pemberton, et al.. (2011). NKp46 defines ovine cells that have characteristics corresponding to NK cells. Veterinary Research. 42(1). 37–37. 31 indexed citations
12.
13.
Juleff, Nicholas, Miriam Windsor, Eric A. Lefèvre, et al.. (2009). Foot-and-Mouth Disease Virus Can Induce a Specific and Rapid CD4+T-Cell-Independent Neutralizing and Isotype Class-Switched Antibody Response in Naive Cattle. Journal of Virology. 83(8). 3626–3636. 71 indexed citations
14.
Juleff, Nicholas, Miriam Windsor, Elizabeth Reid, et al.. (2008). Foot-and-Mouth Disease Virus Persists in the Light Zone of Germinal Centres. PLoS ONE. 3(10). e3434–e3434. 71 indexed citations
15.
Schmitt, Jutta, Geraldine Taylor, Ivan Morrison, et al.. (1998). The Class II Membrane Glycoprotein G of Bovine Respiratory Syncytial Virus, Expressed from a Synthetic Open Reading Frame, Is Incorporated into Virions of Recombinant Bovine Herpesvirus 1. Journal of Virology. 72(5). 3804–3811. 19 indexed citations
16.
Krebs, J. R., et al.. (1997). Bovine Tuberculosis in Cattle and Badgers. 311 indexed citations
17.
Katzer, Frank, Mark Carrington, Pamela A. Knight, et al.. (1994). Polymorphism of SPAG-1, a candidate antigen for inclusion in a sub-unit vaccine against Theileria annulata. Molecular and Biochemical Parasitology. 67(1). 1–10. 43 indexed citations
18.
Morrison, Ivan. (1993). Immunoregulation of parasites. Veterinary Immunology and Immunopathology. 35. 32–35. 3 indexed citations
19.
Howard, Chris & Ivan Morrison. (1991). General introduction and acknowledgements. Veterinary Immunology and Immunopathology. 27(1-3). 1–1. 26 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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