Bianca C. Neves

2.0k total citations
42 papers, 1.5k citations indexed

About

Bianca C. Neves is a scholar working on Molecular Biology, Endocrinology and Infectious Diseases. According to data from OpenAlex, Bianca C. Neves has authored 42 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Endocrinology and 9 papers in Infectious Diseases. Recurrent topics in Bianca C. Neves's work include Escherichia coli research studies (8 papers), Viral gastroenteritis research and epidemiology (7 papers) and Microbial bioremediation and biosurfactants (6 papers). Bianca C. Neves is often cited by papers focused on Escherichia coli research studies (8 papers), Viral gastroenteritis research and epidemiology (7 papers) and Microbial bioremediation and biosurfactants (6 papers). Bianca C. Neves collaborates with scholars based in Brazil, United Kingdom and Japan. Bianca C. Neves's co-authors include Denise Maria Guimarães Freire, Rodrigo S. Reis, Gad Frankel, Rodrigo Volcan Almeida, Antônio Pereira, Kinue Irino, Ana Terezinha Tavechio, Ângela Maria Girardi Dias, Gordon Dougan and Stuart Knutton and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Bioresource Technology.

In The Last Decade

Bianca C. Neves

41 papers receiving 1.5k citations

Peers

Bianca C. Neves
Comparison fields: 5 of 114
  • Molecular Biology 567
  • Endocrinology 356
  • Pollution 340
  • Food Science 302
  • Infectious Diseases 235
Replace Thuoc Linh Tran with:
Thuoc Linh Tran Vietnam
Valérie Gautier France
Li Bai China
Laura A. Bedzyk United States
Jun‐Seob Kim South Korea
Shiwei Wang China
Steve P. Bernier Canada
Andreas Dötsch Germany
Jasper Kieboom Netherlands
Wen Yin China
Thuoc Linh Tran Vietnam View profile →
Citations per field, relative to Bianca C. Neves
Bianca C. Neves · 1×
Citations per year, relative to Bianca C. Neves
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Countries citing papers authored by Bianca C. Neves

Since Specialization
Citations

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

Fields of papers citing papers by Bianca C. Neves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bianca C. Neves. 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 Bianca C. Neves. The network helps show where Bianca C. Neves may publish in the future.

Co-authorship network of co-authors of Bianca C. Neves

This figure shows the co-authorship network connecting the top 25 collaborators of Bianca C. Neves. A scholar is included among the top collaborators of Bianca C. Neves 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 Bianca C. Neves. Bianca C. Neves 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 4
3 6
4 32
5 24
6 16
7 2
8 111
9 15
10 52
11 77
12 29
13 71
14 17
15 15
16 147
17 15
18 83
19 60
20 14

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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