Christine Quance

15 total papers · 687 total citations
13 papers, 468 citations indexed

About

Christine Quance is a scholar working on Small Animals, Food Science and Agronomy and Crop Science. According to data from OpenAlex, Christine Quance has authored 13 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Small Animals, 7 papers in Food Science and 4 papers in Agronomy and Crop Science. Recurrent topics in Christine Quance's work include Brucella: diagnosis, epidemiology, treatment (13 papers), Salmonella and Campylobacter epidemiology (6 papers) and Animal Disease Management and Epidemiology (4 papers). Christine Quance is often cited by papers focused on Brucella: diagnosis, epidemiology, treatment (13 papers), Salmonella and Campylobacter epidemiology (6 papers) and Animal Disease Management and Epidemiology (4 papers). Christine Quance collaborates with scholars based in United States, United Kingdom and France. Christine Quance's co-authors include Adrian M. Whatmore, Mark S. Koylass, Suelee Robbe‐Austerman, Jack C. Rhyan, Gene B. Hubbard, Natalia Schlabritz‐Loutsevitch, Edward J. Dick, Nicholas J. Davison, Lorraine L. Perrett and Simon D. Brew and has published in prestigious journals such as Nature Communications, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Christine Quance

12 papers receiving 455 citations

Author Peers

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

Author						Papers	Cites
Christine Quance	367	208	194	125	77	13	468
R. M. Edelsten	345 0.9×	172 0.8×	150 0.8×	140 1.1×	34 0.4×	12	546
L. Kelly	350 1.0×	153 0.7×	139 0.7×	116 0.9×	95 1.2×	12	503
Rocío González-Barrientos	335 0.9×	191 0.9×	111 0.6×	76 0.6×	135 1.8×	18	469
Allen E. Jensen	272 0.7×	150 0.7×	137 0.7×	71 0.6×	67 0.9×	16	412
Basappa G. Mantur	438 1.2×	245 1.2×	288 1.5×	77 0.6×	30 0.4×	11	496
Maryne Jaÿ	270 0.7×	142 0.7×	173 0.9×	127 1.0×	29 0.4×	30	413
Gabriela Hernández-Mora	336 0.9×	191 0.9×	123 0.6×	76 0.6×	164 2.1×	21	504
A. Benkirane	230 0.6×	141 0.7×	162 0.8×	136 1.1×	41 0.5×	26	503
Will Probert	191 0.5×	124 0.6×	189 1.0×	36 0.3×	62 0.8×	11	492
Nicola J. Commander	284 0.8×	129 0.6×	163 0.8×	52 0.4×	38 0.5×	16	436

Countries citing papers authored by Christine Quance

Since Specialization

Citations

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

Fields of papers citing papers by Christine Quance

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Quance

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