Michael T. Horne

411 total citations
12 papers, 339 citations indexed

About

Michael T. Horne is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Surgery. According to data from OpenAlex, Michael T. Horne has authored 12 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Health, Toxicology and Mutagenesis and 3 papers in Surgery. Recurrent topics in Michael T. Horne's work include Environmental Toxicology and Ecotoxicology (4 papers), Aquaculture disease management and microbiota (3 papers) and Enzyme function and inhibition (2 papers). Michael T. Horne is often cited by papers focused on Environmental Toxicology and Ecotoxicology (4 papers), Aquaculture disease management and microbiota (3 papers) and Enzyme function and inhibition (2 papers). Michael T. Horne collaborates with scholars based in United Kingdom, Australia and United States. Michael T. Horne's co-authors include Andrew C. Barnes, Anthony E. Ellis, Solomon Posen, Coralie J. Cornish, Bjarne Gram Hansen, M. Carmen Balebona, Douglas S. Glazier, Parmesh K. Saini, Mary E. Lehman and K. MacKenzie and has published in prestigious journals such as Annals of the New York Academy of Sciences, Microbiology and Environmental Toxicology and Chemistry.

In The Last Decade

Michael T. Horne

12 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael T. Horne United Kingdom 11 148 75 68 64 43 12 339
Wentao Song China 13 69 0.5× 149 2.0× 9 0.1× 47 0.7× 90 2.1× 45 632
Shuwen Tan China 13 108 0.7× 165 2.2× 24 0.4× 22 0.3× 39 0.9× 26 424
Mahmuda Begum Bangladesh 10 39 0.3× 55 0.7× 22 0.3× 22 0.3× 69 1.6× 46 296
Sara L. Purcell Canada 14 268 1.8× 118 1.6× 5 0.1× 189 3.0× 86 2.0× 30 469
Regla M. Medina-Gali Spain 14 255 1.7× 116 1.5× 20 0.3× 17 0.3× 37 0.9× 19 444
Anita Talbot Ireland 7 139 0.9× 68 0.9× 48 0.7× 54 0.8× 64 1.5× 15 406
John J. Cho United States 9 12 0.1× 62 0.8× 26 0.4× 36 0.6× 24 0.6× 16 359
Dan Ning China 11 39 0.3× 56 0.7× 17 0.3× 21 0.3× 14 0.3× 30 321
Mark Hennies Germany 14 60 0.4× 83 1.1× 39 0.6× 35 0.5× 27 0.6× 30 471

Countries citing papers authored by Michael T. Horne

Since Specialization
Citations

This map shows the geographic impact of Michael T. Horne'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 Michael T. Horne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Horne more than expected).

Fields of papers citing papers by Michael T. Horne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael T. Horne. 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 Michael T. Horne. The network helps show where Michael T. Horne may publish in the future.

Co-authorship network of co-authors of Michael T. Horne

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

All Works

12 of 12 papers shown
1.
Barnes, Andrew C., Michael T. Horne, & Anthony E. Ellis. (2003). Streptococcus iniae expresses a cell surface non-immune trout immunoglobulin-binding factor when grown in normal trout serum. Fish & Shellfish Immunology. 15(5). 425–431. 15 indexed citations
3.
Barnes, Andrew C., et al.. (2002). Antibody increases phagocytosis and killing of Lactococcus garvieae by rainbow trout (Oncorhynchus mykiss, L.) macrophages. Fish & Shellfish Immunology. 12(2). 181–186. 27 indexed citations
5.
Barnes, Andrew C., M. Carmen Balebona, Michael T. Horne, & Anthony E. Ellis. (1999). Superoxide dismutase and catalase in Photobacterium damselae subsp. piscicida and their roles in resistance to reactive oxygen species. Microbiology. 145(2). 483–494. 46 indexed citations
8.
Barnes, Andrew C., Michael T. Horne, & Anthony E. Ellis. (1996). Effect of iron on expression of superoxide dismutase byAeromonas salmonicidaand associated resistance to superoxide anion. FEMS Microbiology Letters. 142(1). 19–26. 29 indexed citations
9.
Glazier, Douglas S., Michael T. Horne, & Mary E. Lehman. (1992). Abundance, body composition and reproductive output of Gammarus minus (Crustacea: Amphipoda) in ten cold springs differing in pH and ionic content. Freshwater Biology. 28(2). 149–163. 32 indexed citations
10.
Posen, Solomon, Coralie J. Cornish, Michael T. Horne, & Parmesh K. Saini. (1969). PLACENTAL ALKALINE PHOSPHATASE AND PREGNANCY. Annals of the New York Academy of Sciences. 166(2 The Phosphohy). 733–744. 22 indexed citations
11.
Posen, Solomon, Coralie J. Cornish, Michael T. Horne, & Parmesh K. Saini. (1969). PLACENTAL ALKALINE PHOSPHATASE AND PREGNANCY. Annals of the New York Academy of Sciences. 166(2 The Phosphohy). 733–744. 21 indexed citations
12.
Horne, Michael T., Coralie J. Cornish, & Solomon Posen. (1968). Use of urea denaturation in the identification of human alkaline phosphatases.. PubMed. 72(6). 905–15. 47 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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