M T Kelly

20 total papers · 446 total citations
15 papers, 299 citations indexed

About

M T Kelly is a scholar working on Food Science, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, M T Kelly has authored 15 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Food Science, 3 papers in Ecology, Evolution, Behavior and Systematics and 3 papers in Ecology. Recurrent topics in M T Kelly's work include Salmonella and Campylobacter epidemiology (4 papers), Aquaculture disease management and microbiota (3 papers) and Cephalopods and Marine Biology (3 papers). M T Kelly is often cited by papers focused on Salmonella and Campylobacter epidemiology (4 papers), Aquaculture disease management and microbiota (3 papers) and Cephalopods and Marine Biology (3 papers). M T Kelly collaborates with scholars based in United States, Canada and Italy. M T Kelly's co-authors include Kevin C. Kain, J. R. Postgate, Raymond L. Richards, G E Buck, John W. Forsythe, Roger T. Hanlon, Kay M. Cooper, Anthony R. DiNuzzo, David L. Tison and Jon T. Mader and has published in prestigious journals such as Environmental Science & Technology, Journal of Bacteriology and Journal of Clinical Microbiology.

In The Last Decade

M T Kelly

15 papers receiving 252 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M T Kelly 61 55 53 51 50 15 299
Vinícius Augusto Carvalho de Abreu 38 0.6× 28 0.5× 108 2.0× 25 0.5× 61 1.2× 20 281
Krunoslav Bojanić 79 1.3× 40 0.7× 85 1.6× 25 0.5× 23 0.5× 32 337
Emmanuelle Helloin 76 1.2× 24 0.4× 105 2.0× 27 0.5× 42 0.8× 15 354
Marianne Huyer 54 0.9× 27 0.5× 118 2.2× 15 0.3× 17 0.3× 10 345
Arwa Al-Dilaimi 14 0.2× 23 0.4× 182 3.4× 20 0.4× 82 1.6× 17 362
Imran Khan 31 0.5× 24 0.4× 36 0.7× 11 0.2× 10 0.2× 22 316
A Hernández 102 1.7× 13 0.2× 74 1.4× 10 0.2× 11 0.2× 22 327
Iman Ibrahim 17 0.3× 38 0.7× 55 1.0× 208 4.1× 66 1.3× 27 366
Roberto Tadeu Raittz 29 0.5× 23 0.4× 163 3.1× 12 0.2× 36 0.7× 31 324
Runhua Han 25 0.4× 55 1.0× 132 2.5× 14 0.3× 47 0.9× 22 299

Countries citing papers authored by M T Kelly

Since Specialization
Citations

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

Fields of papers citing papers by M T Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M T Kelly

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

All Works

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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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