Ureshnie Govender

910 citations
17 papers · 668 indexed · h-index 14
Topics
Tuberculosis Research and Epidemiology (5 papers)Infectious Diseases and Tuberculosis (4 papers)Ubiquitin and proteasome pathways (4 papers)

In The Last Decade

Ureshnie Govender

16 papers receiving 658 citations

Peers

Ureshnie Govender
Comparison fields: 5 of 73
  • Infectious Diseases 321
  • Epidemiology 296
  • Molecular Biology 238
  • Surgery 177
  • Oncology 76
Replace G. Imbert with:
G. Imbert France
Josep M. Escribà Spain
Sara París Colombia
Alyse D. Portnoff United States
Kung-Chia Young Taiwan
Sayuri Nitta Japan
Gregory S. Olson United States
Stefan Mehrle Germany
Hélène Le Guillou‐Guillemette France
Wenwei Yin China
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Citations per field
00.5×5.8×
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Citations per year

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

17 of 17 papers shown
#WorkIndexed citations
1 35
2 57
3 15
4 10
5
Automated microfluidic cartridges for point-of-care cell counting
0
6 17
7 60
8 46
9 52
10 73
11 14
12 32
13 68
14 87
15 30
16 70
17
Cytokine expression in patients with treated congenital hydrocephalus: a preliminary report of five patients.
2

About Ureshnie Govender

Ureshnie Govender is a scholar working on Infectious Diseases, Epidemiology and Cell Biology, having authored 17 papers that have together received 668 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), Infectious Diseases and Tuberculosis (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Infectious Diseases (321 citations), Epidemiology (296 citations) and Surgery (177 citations). Ureshnie Govender has collaborated with scholars based in South Africa, United Kingdom and United States. Frequent co-authors include Keertan Dheda, Grant Theron, Jonny Peter, Cheryl McFarlane, Michelle de la Vega, Christopher J. Scott, James F. Burrows, Richard Meldau, Alyson A. Kelvin and Greg Calligaro. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.

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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