Jane Pritchard

37 total papers · 1.3k total citations
30 papers, 1.0k citations indexed

About

Jane Pritchard is a scholar working on Molecular Biology, Infectious Diseases and Molecular Medicine. According to data from OpenAlex, Jane Pritchard has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Infectious Diseases and 6 papers in Molecular Medicine. Recurrent topics in Jane Pritchard's work include Antibiotic Resistance in Bacteria (6 papers), Salmonella and Campylobacter epidemiology (5 papers) and Molecular Biology Techniques and Applications (4 papers). Jane Pritchard is often cited by papers focused on Antibiotic Resistance in Bacteria (6 papers), Salmonella and Campylobacter epidemiology (5 papers) and Molecular Biology Techniques and Applications (4 papers). Jane Pritchard collaborates with scholars based in Canada, United States and United Kingdom. Jane Pritchard's co-authors include Moussa S. Diarra, Edward Topp, Heidi Rempel, Susan Bach, Pascal Delaquis, Luke Masson, B.J. Skura, Musangu Ngeleka, Dorothy M. Middleton and Vesna Furtula and has published in prestigious journals such as Applied and Environmental Microbiology, Cellular and Molecular Life Sciences and Journal of Dairy Science.

In The Last Decade

Jane Pritchard

29 papers receiving 960 citations

Author Peers

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

Author Last Decade Papers Cites
Jane Pritchard 327 302 246 239 236 30 1.0k
Md. Saiful Islam 346 1.1× 314 1.0× 243 1.0× 304 1.3× 152 0.6× 71 1.2k
Rikke Heidemann Olsen 192 0.6× 393 1.3× 204 0.8× 339 1.4× 129 0.5× 61 1000
Md. Abdus Sobur 326 1.0× 367 1.2× 202 0.8× 359 1.5× 205 0.9× 37 1.2k
Gudrun Overesch 277 0.8× 276 0.9× 174 0.7× 192 0.8× 112 0.5× 56 819
Tânia Curião 248 0.8× 154 0.5× 490 2.0× 516 2.2× 203 0.9× 18 1.1k
Benson Chuks Iweriebor 293 0.9× 165 0.5× 112 0.5× 162 0.7× 156 0.7× 35 852
Karolina Törneke 373 1.1× 204 0.7× 290 1.2× 373 1.6× 208 0.9× 18 1.1k
Stephan G. Thayer 385 1.2× 489 1.6× 170 0.7× 347 1.5× 184 0.8× 26 1.2k
Luisa Zanolli Moreno 259 0.8× 274 0.9× 187 0.8× 179 0.7× 83 0.4× 90 1.1k
Stefano Pongolini 190 0.6× 330 1.1× 196 0.8× 374 1.6× 98 0.4× 68 1.1k

Countries citing papers authored by Jane Pritchard

Since Specialization
Citations

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

Fields of papers citing papers by Jane Pritchard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Pritchard

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