Gert Marais

7.4k total citations
22 papers, 376 citations indexed

About

Gert Marais is a scholar working on Infectious Diseases, Cell Biology and Plant Science. According to data from OpenAlex, Gert Marais has authored 22 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Cell Biology and 6 papers in Plant Science. Recurrent topics in Gert Marais's work include Mycotoxins in Agriculture and Food (6 papers), Plant Pathogens and Fungal Diseases (6 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Gert Marais is often cited by papers focused on Mycotoxins in Agriculture and Food (6 papers), Plant Pathogens and Fungal Diseases (6 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Gert Marais collaborates with scholars based in South Africa, United Kingdom and Zimbabwe. Gert Marais's co-authors include Michael J. Wingfield, Annelie Lübben, C. J. Rabie, M. J. Wingfield, Brenda D. Wingfield, Diana Hardie, Diana Hardie, Adrian Brink, Peter G. Mantle and Pieter S. Steyn and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Virology.

In The Last Decade

Gert Marais

22 papers receiving 355 citations

Peers

Gert Marais
Comparison fields: 5 of 80
  • Plant Science 174
  • Cell Biology 138
  • Ecology 88
  • Molecular Biology 58
  • Infectious Diseases 58
Replace Paula Luize Camargos Fonseca with:
Paula Luize Camargos Fonseca Brazil
Yanpeng Chen China
David Starns United Kingdom
Michael Schmid Switzerland
Manjula Deville France
Mónica Carvajal-Yepes Colombia
R.C. Summerbell Canada
K. Mise Japan
Chee-Choong Hoh Malaysia
Sonya M. Baird United States
Paula Luize Camargos Fonseca Brazil View profile →
Citations per field, relative to Gert Marais
Gert Marais · 1×
Citations per year, relative to Gert Marais
Gert Marais · 1×

Countries citing papers authored by Gert Marais

Since Specialization
Citations

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

Fields of papers citing papers by Gert Marais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gert Marais

This figure shows the co-authorship network connecting the top 25 collaborators of Gert Marais. A scholar is included among the top collaborators of Gert Marais 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 Gert Marais. Gert Marais 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 1
2 15
3 9
4 7
5 19
6 11
7 16
8 11
9 13
10 1
11 11
12 19
13 12
14 7
15 33
16 24
17 27
18 55
19 25
20 41

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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