Ureshnie Govender

26 total papers · 904 total citations
17 papers, 667 citations indexed

About

Ureshnie Govender is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Ureshnie Govender has authored 17 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 8 papers in Epidemiology and 5 papers in Surgery. Recurrent topics in Ureshnie Govender's work include Tuberculosis Research and Epidemiology (5 papers), Infectious Diseases and Tuberculosis (4 papers) and Ubiquitin and proteasome pathways (4 papers). Ureshnie Govender is often cited by papers focused on Tuberculosis Research and Epidemiology (5 papers), Infectious Diseases and Tuberculosis (4 papers) and Ubiquitin and proteasome pathways (4 papers). Ureshnie Govender collaborates with scholars based in South Africa, United Kingdom and United States. Ureshnie Govender's co-authors include Keertan Dheda, Grant Theron, Jonny Peter, Michelle de la Vega, James F. Burrows, Christopher J. Scott, Cheryl McFarlane, Richard Meldau, Alyson A. Kelvin and Greg Calligaro and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.

In The Last Decade

Ureshnie Govender

16 papers receiving 657 citations

Author Peers

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

Author Last Decade Papers Cites
Ureshnie Govender 320 295 238 177 76 17 667
Anke Binder 377 1.2× 296 1.0× 137 0.6× 146 0.8× 78 1.0× 25 774
Heather K. Kroh 339 1.1× 134 0.5× 227 1.0× 103 0.6× 23 0.3× 22 648
Federica Motta 103 0.3× 202 0.7× 76 0.3× 98 0.6× 70 0.9× 24 579
Urban Schmitt 125 0.4× 186 0.6× 163 0.7× 51 0.3× 130 1.7× 19 597
Penny Williams 157 0.5× 338 1.1× 156 0.7× 294 1.7× 146 1.9× 16 732
Lina Fan 137 0.4× 127 0.4× 222 0.9× 64 0.4× 116 1.5× 29 702
Fiona Fernandes 169 0.5× 442 1.5× 190 0.8× 47 0.3× 14 0.2× 18 671
Long Hoàng 210 0.7× 203 0.7× 218 0.9× 219 1.2× 20 0.3× 28 776
Jeff Cehelsky 152 0.5× 330 1.1× 222 0.9× 61 0.3× 35 0.5× 15 634
Satomi Hoshino 194 0.6× 207 0.7× 223 0.9× 60 0.3× 66 0.9× 17 696

Countries citing papers authored by Ureshnie Govender

Since Specialization
Citations

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

Fields of papers citing papers by Ureshnie Govender

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ureshnie Govender

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