Mae Newton-Foot

815 total citations
32 papers, 559 citations indexed

About

Mae Newton-Foot is a scholar working on Infectious Diseases, Molecular Medicine and Epidemiology. According to data from OpenAlex, Mae Newton-Foot has authored 32 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Infectious Diseases, 14 papers in Molecular Medicine and 11 papers in Epidemiology. Recurrent topics in Mae Newton-Foot's work include Antibiotic Resistance in Bacteria (14 papers), Bacterial Identification and Susceptibility Testing (9 papers) and Tuberculosis Research and Epidemiology (8 papers). Mae Newton-Foot is often cited by papers focused on Antibiotic Resistance in Bacteria (14 papers), Bacterial Identification and Susceptibility Testing (9 papers) and Tuberculosis Research and Epidemiology (8 papers). Mae Newton-Foot collaborates with scholars based in South Africa, Germany and United Kingdom. Mae Newton-Foot's co-authors include Andrew Whitelaw, Nicolaas C. Gey van Pittius, Motlatji Reratilwe Bonnie Maloba, Samantha L. Sampson, Robin M. Warren, Zhuo Fang, Paul David van Helden, Sandra Reuter, Angela Dramowski and Du Toit Loots and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Mae Newton-Foot

31 papers receiving 550 citations

Peers

Mae Newton-Foot
Comparison fields: 5 of 79
  • Infectious Diseases 246
  • Molecular Medicine 199
  • Epidemiology 198
  • Molecular Biology 186
  • Pollution 77
Replace Valentina Donà with:
Valentina Donà Switzerland
Evangelia Lebessi Greece
Mikala Wang Denmark
Jung Sik Yoo South Korea
Rita Moure Spain
Sarah Schmitt Switzerland
Chin-Fu Lin Taiwan
E. Bordi Italy
Hasan Nazik United States
Sayoko Kawakami Japan
Valentina Donà Switzerland View profile →
Citations per field, relative to Mae Newton-Foot
Mae Newton-Foot · 1×
Citations per year, relative to Mae Newton-Foot
Mae Newton-Foot · 1×

Countries citing papers authored by Mae Newton-Foot

Since Specialization
Citations

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

Fields of papers citing papers by Mae Newton-Foot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mae Newton-Foot. 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 Mae Newton-Foot. The network helps show where Mae Newton-Foot may publish in the future.

Co-authorship network of co-authors of Mae Newton-Foot

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 1
3 2
4 14
5 4
6 10
7 2
8 8
9 15
10 50
11 9
12 31
13 23
14 13
15 12
16 28
17 64
18 13
19 50
20 55

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026