Fernando B. Da Costa

5.1k citations
138 papers · 4.0k indexed · 1 hit paper · h-index 35

Fernando B. Da Costa

134 papers receiving 3.9k citations

Hit Papers

Effect of the environment on the secondary metabolic prof...3432016202620192022100200300

Peers

Fernando B. Da Costa
Comparison fields: 5 of 146
  • Cancer Research 1.1k
  • Pharmacology 385
  • Food Science 761
  • Plant Science 1.5k
  • Complementary and alternative medicine 302
Replace Maique W. Biavatti with:
Maique W. Biavatti Brazil
Yao-Lan Li China
Helen Skaltsa Greece
Nikolaus H. Fischer United States
Paulina Bermejo Spain
Manfred Metzler Germany
Stefan Schwaiger Austria
Hikaru Okabe Japan
Anastasia Karioti Greece
Rachel Mata Mexico
Fernando B. Da Costa relative to Maique W. Biavatti Brazil Maique W. Biavatti's profile →
Citations per field
00.5×2.7×
Maique W. Biavatti · 1×
Citations per year

Countries citing papers authored by Fernando B. Da Costa

Since Specialization
Citations

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

Fields of papers citing papers by Fernando B. Da Costa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando B. Da Costa. 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 Fernando B. Da Costa. The network helps show where Fernando B. Da Costa may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20236
4 20233
5 20236
6 20232
7 20232
8 20213
9 20206
10 20178
11 201349
12 201315
13 201339
14 201181
15 201038
16 200918
17 2007100
18 200650
19 20036
20 200325

About Fernando B. Da Costa

Fernando B. Da Costa is a scholar working on Cancer Research, Molecular Biology and Pharmacology, having authored 138 papers that have together received 4.0k indexed citations. Recurring topics across this work include Sesquiterpenes and Asteraceae Studies (80 papers), Plant Toxicity and Pharmacological Properties (47 papers), Natural product bioactivities and synthesis (42 papers), Phytochemistry and Biological Activities (18 papers), Essential Oils and Antimicrobial Activity (14 papers), Metabolomics and Mass Spectrometry Studies (11 papers), Plant biochemistry and biosynthesis (11 papers) and Allelopathy and phytotoxic interactions (8 papers). The work is most often cited by research in Cancer Research (1.1k citations), Pharmacology (385 citations) and Food Science (761 citations). Fernando B. Da Costa has collaborated with scholars based in Brazil, Germany and United Kingdom. Frequent co-authors include RuAngelie Edrada‐Ebel, Sérgio Ricardo Ambrósio, Bruno Leite Sampaio, Daniela Aparecida Chagas‐Paula, Rejane Barbosa de Oliveira, Carlos R. Tirapelli, Thomas J. Schmidt, Guillermo F. Padilla-González, Ana Maria de Oliveira and Leonardo Gobbo‐Neto. Their work appears in journals such as Phytochemistry, Revista Brasileira de Farmacognosia, Molecules, Journal of Ethnopharmacology and Planta Medica.

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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