Fábio Trindade

975 citations
46 papers · 644 · h-index 16

Impact in

    • Oral microbiology and periodontitis research
  • Microbiology top 10%
    • Antimicrobial Peptides and Activities

Papers in

Fábio Trindade

44 papers receiving 636 citations

Peers

Fábio Trindade
Comparison fields: 5 of 97
  • Periodontics 106
  • Microbiology 58
  • Cardiology and Cardiovascular Medicine 109
  • Spectroscopy 66
  • Molecular Biology 255
Replace Yuka Hiroshima with:
Yuka Hiroshima Japan
Haruna Miyazawa Japan
Xinmin Yan United States
Masayasu Iwase Japan
Yujie Zhou China
Jun Shoji Japan
Katja Schubert Germany
Tae‐Hyoun Kim South Korea
Giorgia Radicioni United States
Fábio Trindade relative to Yuka Hiroshima Japan Yuka Hiroshima's profile →
Citations per field
00.5×9.9×
Yuka Hiroshima · 1×
Citations per year

Countries citing papers authored by Fábio Trindade

Since Specialization
Citations

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

Fields of papers citing papers by Fábio Trindade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fábio Trindade, 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 Fábio Trindade Line = papers co-authored together Fábio Trindade links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201471
2 201744
3 201944
4 201537
5 201833
6 202130
7 201829
8 202227
9 202326
10 202026
11 201424
12 201523
13 201822
14 201721
15 201717
16 201815
17 202113
18 202112
19 202211
20 202211

About Fábio Trindade

Fábio Trindade is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Spectroscopy, Periodontics and Physiology, having authored 46 papers that have together received 644 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (10 papers), Cardiac Valve Diseases and Treatments (8 papers), Oral microbiology and periodontitis research (7 papers), Cardiovascular Function and Risk Factors (7 papers), Protease and Inhibitor Mechanisms (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Salivary Gland Disorders and Functions (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). The work is most often cited by research in Periodontics (106 citations), Microbiology (58 citations), Cardiology and Cardiovascular Medicine (109 citations), Spectroscopy (66 citations) and Molecular Biology (255 citations). Fábio Trindade has collaborated with scholars based in Portugal, France and Netherlands. Frequent co-authors include Rui Vitorino, Rita Ferreira, Francisco Amado, Adelino Leite‐Moreira, Inês Falcão‐Pires, Pedro Sousa Gomes, Rita Nogueira‐Ferreira, Paulo Bastos, João Pinto da Costa and Frank G. Oppenheim. Their work appears in journals such as Journal of Proteomics, PROTEOMICS - CLINICAL APPLICATIONS, Journal of Molecular Medicine, International Journal of Molecular Sciences and Talanta.

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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