Mariola Mascarenhas

2.5k total citations
40 papers, 1.9k citations indexed

About

Mariola Mascarenhas is a scholar working on Infectious Diseases, Endocrinology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mariola Mascarenhas has authored 40 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Infectious Diseases, 17 papers in Endocrinology and 16 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mariola Mascarenhas's work include Escherichia coli research studies (17 papers), Mosquito-borne diseases and control (15 papers) and Viral gastroenteritis research and epidemiology (13 papers). Mariola Mascarenhas is often cited by papers focused on Escherichia coli research studies (17 papers), Mosquito-borne diseases and control (15 papers) and Viral gastroenteritis research and epidemiology (13 papers). Mariola Mascarenhas collaborates with scholars based in Canada, United States and Nepal. Mariola Mascarenhas's co-authors include Mohamed A. Karmali, Lisa Waddell, Judy Greig, Brian K. Coombes, Ian Young, Kim Ziebell, Kris Rahn, Songhai Shen, James B. Kaper and Mark E. Wickham and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Mariola Mascarenhas

38 papers receiving 1.8k citations

Peers

Mariola Mascarenhas
Comparison fields: 5 of 101
  • Infectious Diseases 1.1k
  • Endocrinology 1.1k
  • Food Science 456
  • Public Health, Environmental and Occupational Health 295
  • Molecular Biology 239
Replace Bernard China with:
Bernard China Belgium
David R. Smith United States
Kate S. Baker United Kingdom
Huaiqi Jing China
Kristy Kubota United States
Shiro Yamai Japan
Michael W. Sanderson United States
Rolf Bauerfeind Germany
Tsutomu Kakuda Japan
Isabel Chinen Argentina
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Citations per field, relative to Mariola Mascarenhas
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Citations per year, relative to Mariola Mascarenhas
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Countries citing papers authored by Mariola Mascarenhas

Since Specialization
Citations

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

Fields of papers citing papers by Mariola Mascarenhas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariola Mascarenhas

This figure shows the co-authorship network connecting the top 25 collaborators of Mariola Mascarenhas. A scholar is included among the top collaborators of Mariola Mascarenhas 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 Mariola Mascarenhas. Mariola Mascarenhas 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 0
2 3
3 1
4 35
5 2
6 2
7 11
8 58
9 8
10 30
11 20
12 30
13 99
14 33
15 60
16 38
17 33
18 84
19 26
20 31

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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