Sue D. Hagius

34 total papers · 1.6k total citations
27 papers, 802 citations indexed

About

Sue D. Hagius is a scholar working on Small Animals, Endocrinology and Food Science. According to data from OpenAlex, Sue D. Hagius has authored 27 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Small Animals, 11 papers in Endocrinology and 7 papers in Food Science. Recurrent topics in Sue D. Hagius's work include Brucella: diagnosis, epidemiology, treatment (21 papers), Escherichia coli research studies (11 papers) and Salmonella and Campylobacter epidemiology (5 papers). Sue D. Hagius is often cited by papers focused on Brucella: diagnosis, epidemiology, treatment (21 papers), Escherichia coli research studies (11 papers) and Salmonella and Campylobacter epidemiology (5 papers). Sue D. Hagius collaborates with scholars based in United States, France and India. Sue D. Hagius's co-authors include Philip H. Elzer, Joel V. Walker, F. M. Enright, Matthew D. Edmonds, Vito G. DelVecchio, Michel Eschenbrenner, Mary Ann Wagner, Cesar V. Mujer, R. Martin Roop and Michel S. Zygmunt and has published in prestigious journals such as Journal of Virology, Journal of Bacteriology and Annals of the New York Academy of Sciences.

In The Last Decade

Sue D. Hagius

27 papers receiving 765 citations

Author Peers

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

Author Last Decade Papers Cites
Sue D. Hagius 506 292 225 182 144 27 802
A. E. Jensen 500 1.0× 240 0.8× 272 1.2× 249 1.4× 64 0.4× 25 789
Rosanna Adone 451 0.9× 289 1.0× 206 0.9× 118 0.6× 328 2.3× 48 852
Ahidé López-Merino 568 1.1× 284 1.0× 322 1.4× 121 0.7× 91 0.6× 27 754
Juliana Pinto da Silva Mol 467 0.9× 226 0.8× 232 1.0× 91 0.5× 85 0.6× 40 739
Emma Stubberfield 337 0.7× 163 0.6× 271 1.2× 170 0.9× 193 1.3× 25 908
Gabriel Briones 392 0.8× 199 0.7× 171 0.8× 229 1.3× 180 1.3× 25 790
Raúl A. Bowden 776 1.5× 326 1.1× 193 0.9× 290 1.6× 170 1.2× 17 978
Menachem Banai 514 1.0× 353 1.2× 256 1.1× 100 0.5× 130 0.9× 43 856
Carlos Chacón‐Díaz 725 1.4× 301 1.0× 209 0.9× 210 1.2× 120 0.8× 37 981
Teane M. A. Silva 376 0.7× 285 1.0× 140 0.6× 125 0.7× 94 0.7× 18 793

Countries citing papers authored by Sue D. Hagius

Since Specialization
Citations

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

Fields of papers citing papers by Sue D. Hagius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sue D. Hagius. 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 Sue D. Hagius. The network helps show where Sue D. Hagius may publish in the future.

Co-authorship network of co-authors of Sue D. Hagius

This figure shows the co-authorship network connecting the top 25 collaborators of Sue D. Hagius. A scholar is included among the top collaborators of Sue D. Hagius 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 Sue D. Hagius. Sue D. Hagius 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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