Gail Louw

38 total papers · 711 total citations
12 papers, 497 citations indexed

About

Gail Louw is a scholar working on Infectious Diseases, Epidemiology and General Health Professions. According to data from OpenAlex, Gail Louw has authored 12 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 4 papers in Epidemiology and 2 papers in General Health Professions. Recurrent topics in Gail Louw's work include Tuberculosis Research and Epidemiology (6 papers), Mycobacterium research and diagnosis (4 papers) and Antibiotic Resistance in Bacteria (2 papers). Gail Louw is often cited by papers focused on Tuberculosis Research and Epidemiology (6 papers), Mycobacterium research and diagnosis (4 papers) and Antibiotic Resistance in Bacteria (2 papers). Gail Louw collaborates with scholars based in South Africa, United States and United Kingdom. Gail Louw's co-authors include Paul D. van Helden, Robin M. Warren, Thomas C. Victor, Samantha L. Sampson, Melanie Grobbelaar, Bavesh D Kana, Tommie C. Victor, Peter R. Donald, Nicolaas C. Gey van Pittius and Rogélio Hernández‐Pando and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Gail Louw

12 papers receiving 482 citations

Author Peers

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

Author Last Decade Papers Cites
Gail Louw 322 253 183 143 41 12 497
Meenakshi Balganesh 332 1.0× 250 1.0× 205 1.1× 126 0.9× 51 1.2× 17 474
Gareth A. Prosser 256 0.8× 153 0.6× 343 1.9× 64 0.4× 41 1.0× 17 571
J. S. Teh 301 0.9× 183 0.7× 317 1.7× 116 0.8× 37 0.9× 8 547
Bernd Hutter 278 0.9× 219 0.9× 299 1.6× 89 0.6× 43 1.0× 14 603
Moloko C. Cholo 324 1.0× 256 1.0× 148 0.8× 60 0.4× 63 1.5× 20 619
Pedro E. A. da Silva 329 1.0× 253 1.0× 166 0.9× 59 0.4× 76 1.9× 9 461
Sivagami Sundaram Chavadi 405 1.3× 335 1.3× 325 1.8× 93 0.7× 30 0.7× 10 603
Alfonso Mendoza-Losana 269 0.8× 188 0.7× 242 1.3× 74 0.5× 34 0.8× 18 474
M. T. ten Kate 257 0.8× 214 0.8× 182 1.0× 94 0.7× 44 1.1× 13 606
Ana Ribeiro 253 0.8× 152 0.6× 241 1.3× 66 0.5× 29 0.7× 15 458

Countries citing papers authored by Gail Louw

Since Specialization
Citations

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

Fields of papers citing papers by Gail Louw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gail Louw

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