Judy Higgins

11 total papers · 1.0k total citations
9 papers, 821 citations indexed

About

Judy Higgins is a scholar working on Infectious Diseases, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Judy Higgins has authored 9 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 6 papers in Molecular Biology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Judy Higgins's work include Antimicrobial Resistance in Staphylococcus (5 papers), Streptococcal Infections and Treatments (4 papers) and Bacterial biofilms and quorum sensing (3 papers). Judy Higgins is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (5 papers), Streptococcal Infections and Treatments (4 papers) and Bacterial biofilms and quorum sensing (3 papers). Judy Higgins collaborates with scholars based in Ireland, Sweden and United Kingdom. Judy Higgins's co-authors include Timothy J. Foster, Tony Loughman, Andrej Tarkowski, Jennifer Mitchell, Maria Bokarewa, Tao Jin, Timothy J. Foster, J. Ross Fitzgerald, Marian Brennan and Dermot Cox and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and The Journal of Infectious Diseases.

In The Last Decade

Judy Higgins

9 papers receiving 803 citations

Author Peers

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

Author Last Decade Papers Cites
Judy Higgins 478 373 217 197 177 9 821
Leon Iri Kupferwasser 350 0.7× 240 0.6× 211 1.0× 312 1.6× 97 0.5× 16 815
Molly McAdow 602 1.3× 521 1.4× 203 0.9× 98 0.5× 102 0.6× 9 861
Yury V. Matsuka 498 1.0× 307 0.8× 405 1.9× 196 1.0× 108 0.6× 25 989
Ian R. Siboo 276 0.6× 321 0.9× 310 1.4× 211 1.1× 107 0.6× 12 755
Dieter Gelbmann 276 0.6× 480 1.3× 182 0.8× 285 1.4× 147 0.8× 13 1.0k
Barbara E. Menzies 597 1.2× 447 1.2× 177 0.8× 140 0.7× 212 1.2× 14 971
Germano Ferrari 147 0.3× 361 1.0× 171 0.8× 205 1.0× 255 1.4× 10 743
Jason D. Bannan 235 0.5× 360 1.0× 157 0.7× 146 0.7× 149 0.8× 18 998
Allison J. Farrand 196 0.4× 334 0.9× 201 0.9× 109 0.6× 64 0.4× 16 730
Vijaykumar Pancholi 278 0.6× 330 0.9× 415 1.9× 194 1.0× 123 0.7× 7 880

Countries citing papers authored by Judy Higgins

Since Specialization
Citations

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

Fields of papers citing papers by Judy Higgins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Judy Higgins

This figure shows the co-authorship network connecting the top 25 collaborators of Judy Higgins. A scholar is included among the top collaborators of Judy Higgins 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 Judy Higgins. Judy Higgins 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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