Eva C. Boritsch

13 total papers · 844 total citations
9 papers, 396 citations indexed

About

Eva C. Boritsch is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Eva C. Boritsch has authored 9 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 6 papers in Epidemiology and 3 papers in Surgery. Recurrent topics in Eva C. Boritsch's work include Tuberculosis Research and Epidemiology (8 papers), Mycobacterium research and diagnosis (6 papers) and Infectious Diseases and Tuberculosis (3 papers). Eva C. Boritsch is often cited by papers focused on Tuberculosis Research and Epidemiology (8 papers), Mycobacterium research and diagnosis (6 papers) and Infectious Diseases and Tuberculosis (3 papers). Eva C. Boritsch collaborates with scholars based in France, Australia and United States. Eva C. Boritsch's co-authors include Roland Brosch, Timothy P. Stinear, Philip Supply, Nadine Honoré, Alexandre Pawlik, Christiane Bouchier, Laurence Ma, Alessandro Cascioferro, Laleh Majlessi and Fabien Le Chevalier and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Eva C. Boritsch

9 papers receiving 392 citations

Author Peers

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

Author Last Decade Papers Cites
Eva C. Boritsch 307 292 123 79 58 9 396
Gaby Silve 235 0.8× 270 0.9× 117 1.0× 32 0.4× 41 0.7× 8 373
Huiping Ren 247 0.8× 254 0.9× 140 1.1× 31 0.4× 63 1.1× 14 403
Rama Kishan R. Voladri 300 1.0× 162 0.6× 179 1.5× 31 0.4× 113 1.9× 8 436
Sharad Pathak 222 0.7× 184 0.6× 142 1.2× 53 0.7× 19 0.3× 8 362
Sven Malm 224 0.7× 226 0.8× 147 1.2× 52 0.7× 40 0.7× 9 422
Kerri M. Malone 194 0.6× 192 0.7× 181 1.5× 49 0.6× 22 0.4× 13 374
Rakesh Choudhary 271 0.9× 267 0.9× 134 1.1× 117 1.5× 39 0.7× 10 424
Violaine Dubois 257 0.8× 322 1.1× 81 0.7× 24 0.3× 45 0.8× 12 416
Matthew Shudt 156 0.5× 189 0.6× 96 0.8× 34 0.4× 37 0.6× 9 348
Thames Pickett 252 0.8× 163 0.6× 87 0.7× 51 0.6× 13 0.2× 9 374

Countries citing papers authored by Eva C. Boritsch

Since Specialization
Citations

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

Fields of papers citing papers by Eva C. Boritsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva C. Boritsch. 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 Eva C. Boritsch. The network helps show where Eva C. Boritsch may publish in the future.

Co-authorship network of co-authors of Eva C. Boritsch

This figure shows the co-authorship network connecting the top 25 collaborators of Eva C. Boritsch. A scholar is included among the top collaborators of Eva C. Boritsch 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 Eva C. Boritsch. Eva C. Boritsch 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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