Eveline M. Bezerra

476 citations
24 papers · 364 indexed · h-index 12

Eveline M. Bezerra

24 papers receiving 361 citations

Peers

Eveline M. Bezerra
Comparison fields: 5 of 88
  • Computational Theory and Mathematics 55
  • Toxicology 11
  • Physical and Theoretical Chemistry 22
  • Molecular Biology 167
  • Organic Chemistry 64
Replace Yudibeth Sixto‐López with:
Yudibeth Sixto‐López Mexico
Fernanda Aparecida Heleno Batista Brazil
Benjamin L. Dick United States
Xinhui Zhang China
Sridhar Goud Nerella India
Kalpana Joshi India
Alhumaidi B. Alabbas Saudi Arabia
Pravin S. Iyer India
Irfan Hussain Pakistan
Konstantin Pervushin Singapore
Eveline M. Bezerra relative to Yudibeth Sixto‐López Mexico Yudibeth Sixto‐López's profile →
Citations per field
00.5×9.7×
Yudibeth Sixto‐López · 1×
Citations per year

Countries citing papers authored by Eveline M. Bezerra

Since Specialization
Citations

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

Fields of papers citing papers by Eveline M. Bezerra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eveline M. Bezerra. 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 Eveline M. Bezerra. The network helps show where Eveline M. Bezerra may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Eveline M. Bezerra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eveline M. Bezerra Line = papers co-authored together Eveline M. Bezerra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20245
3 20232
4 20227
5 202011
6 20191
7 20196
8 201824
9 201817
10 20185
11 201620
12 201617
13 20151
14 201524
15 201542
16 201522
17 201436
18 201161
19 200715
20 20064

About Eveline M. Bezerra

Eveline M. Bezerra is a scholar working on Computational Theory and Mathematics, Toxicology and Molecular Medicine, having authored 24 papers that have together received 364 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Trypanosoma species research and implications (3 papers), Receptor Mechanisms and Signaling (3 papers), Analytical Chemistry and Chromatography (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers), Research on Leishmaniasis Studies (2 papers), Nanoplatforms for cancer theranostics (2 papers) and Protein Interaction Studies and Fluorescence Analysis (2 papers). The work is most often cited by research in Computational Theory and Mathematics (55 citations), Toxicology (11 citations) and Physical and Theoretical Chemistry (22 citations). Eveline M. Bezerra has collaborated with scholars based in Brazil, Australia and Norway. Frequent co-authors include V. N. Freire, E. W. S. Caetano, E.L. Albuquerque, Benildo Sousa Cavada, Umberto L. Fulco, José Luiz de Lima Filho, José Xavier Neto, Gustavo Della‐Flora Nunes, Geancarlo Zanatta and F. A. M. Sales. Their work appears in journals such as PLoS ONE, Physical Chemistry Chemical Physics and Molecules.

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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