Kim Narunsky

2.2k total citations
16 papers, 751 citations indexed

About

Kim Narunsky is a scholar working on Infectious Diseases, Pharmacology and Epidemiology. According to data from OpenAlex, Kim Narunsky has authored 16 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Infectious Diseases, 7 papers in Pharmacology and 7 papers in Epidemiology. Recurrent topics in Kim Narunsky's work include Tuberculosis Research and Epidemiology (15 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and Cancer therapeutics and mechanisms (4 papers). Kim Narunsky is often cited by papers focused on Tuberculosis Research and Epidemiology (15 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and Cancer therapeutics and mechanisms (4 papers). Kim Narunsky collaborates with scholars based in South Africa, United States and Netherlands. Kim Narunsky's co-authors include Rodney Dawson, Andreas H. Diacon, Amour Venter, Peter R. Donald, M. Hanekom, Jeannine du Bois, Melvin Spigelman, Christo van Niekerk, Ann M. Ginsberg and Lawrence Geiter and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Clinical Infectious Diseases and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Kim Narunsky

15 papers receiving 728 citations

Peers

Kim Narunsky
Comparison fields: 5 of 63
  • Infectious Diseases 640
  • Epidemiology 423
  • Surgery 199
  • Molecular Biology 180
  • Pharmacology 116
Replace Divan A. Burger with:
Divan A. Burger South Africa
R. F. Patientia South Africa
Erica Egizi United States
Nosipho Ngubane United Kingdom
Melissa Engle United States
Shenjie Tang China
Genevieve H. Wills United Kingdom
Morounfolu Olugbosi United States
Gregory Symons South Africa
F A Sirgel South Africa
Divan A. Burger South Africa View profile →
Citations per field, relative to Kim Narunsky
Kim Narunsky · 1×
Citations per year, relative to Kim Narunsky
Kim Narunsky · 1×

Countries citing papers authored by Kim Narunsky

Since Specialization
Citations

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

Fields of papers citing papers by Kim Narunsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Narunsky

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Narunsky. A scholar is included among the top collaborators of Kim Narunsky 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 Kim Narunsky. Kim Narunsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 1
2 4
3 6
4 7
5 10
6 5
7 10
8 36
9 15
10 0
11 23
12 213
13 9
14 109
15 157
16 146

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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