Anzaan Dippenaar

102 total papers · 2.0k total citations
50 papers, 839 citations indexed

About

Anzaan Dippenaar is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Anzaan Dippenaar has authored 50 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Infectious Diseases, 45 papers in Epidemiology and 15 papers in Molecular Biology. Recurrent topics in Anzaan Dippenaar's work include Tuberculosis Research and Epidemiology (46 papers), Mycobacterium research and diagnosis (43 papers) and Infectious Diseases and Tuberculosis (7 papers). Anzaan Dippenaar is often cited by papers focused on Tuberculosis Research and Epidemiology (46 papers), Mycobacterium research and diagnosis (43 papers) and Infectious Diseases and Tuberculosis (7 papers). Anzaan Dippenaar collaborates with scholars based in South Africa, Belgium and United States. Anzaan Dippenaar's co-authors include Robin M. Warren, Arnab Pain, Sven D.C. Parsons, Samantha L. Sampson, Sébastien Gagneux, Sònia Borrell, Christian Beisel, Fabrizio Menardo, Elizabeth M. Streicher and Margaretha de Vos and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Clinical Microbiology.

In The Last Decade

Anzaan Dippenaar

49 papers receiving 835 citations

Author Peers

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

Author Last Decade Papers Cites
Anzaan Dippenaar 709 633 222 218 60 50 839
Meenu K. Sharma 600 0.8× 623 1.0× 227 1.0× 204 0.9× 87 1.4× 33 927
Florian Gehre 551 0.8× 594 0.9× 171 0.8× 214 1.0× 41 0.7× 39 834
Valeriu Crudu 854 1.2× 745 1.2× 201 0.9× 305 1.4× 78 1.3× 55 1.0k
Gardner Middlebrook 525 0.7× 488 0.8× 165 0.7× 178 0.8× 54 0.9× 44 979
Federico Carlos Blanco 650 0.9× 550 0.9× 292 1.3× 117 0.5× 63 1.1× 60 839
Nackmoon Sung 542 0.8× 613 1.0× 242 1.1× 154 0.7× 89 1.5× 31 951
Chloé Loiseau 535 0.8× 663 1.0× 215 1.0× 155 0.7× 56 0.9× 23 882
Cristina Russo 643 0.9× 540 0.9× 140 0.6× 273 1.3× 26 0.4× 61 1.1k
Oksana Ocheretina 501 0.7× 402 0.6× 354 1.6× 153 0.7× 59 1.0× 40 961
Suporn Foongladda 628 0.9× 506 0.8× 129 0.6× 117 0.5× 61 1.0× 50 894

Countries citing papers authored by Anzaan Dippenaar

Since Specialization
Citations

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

Fields of papers citing papers by Anzaan Dippenaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anzaan Dippenaar

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