Mario Silva

948 citations
52 papers · 742 · h-index 18

Impact in

Papers in

    • Biological Activity of Diterpenoids and Biflavonoids 9
    • Natural product bioactivities and synthesis 7
    • Phytochemistry and Biological Activities 10

Mario Silva

51 papers receiving 713 citations

Peers

Mario Silva
Comparison fields: 5 of 78
  • Biochemistry 74
  • Drug Discovery 2
  • Biotechnology 82
  • Aquatic Science 59
  • Cancer Research 110
Replace John A. Rideout with:
John A. Rideout Australia
Serge Lavoie Canada
Jong‐Woong Ahn South Korea
Ahmed F. Halim Egypt
Jean‐Pierre Bianchini France
Ana Lourenço Portugal
Nobuyasu Enoki Japan
Kamel H. Shaker Egypt
Xiangrong Tian China
N. MURAKAMI Japan
Mario Silva relative to John A. Rideout Australia John A. Rideout's profile →
Citations per field
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John A. Rideout · 1×
Citations per year

Countries citing papers authored by Mario Silva

Since Specialization
Citations

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

Fields of papers citing papers by Mario Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200657
2 201153
3 197653
4 197331
5 197730
6 201624
7 201724
8 200623
9 197722
10 201021
11 201321
12 200919
13 198519
14 200719
15 198318
16 197318
17 197318
18 197417
19 201416
20 197816

About Mario Silva

Mario Silva is a scholar working on Molecular Biology, Plant Science, Biotechnology, Ecology, Evolution, Behavior and Systematics and Food Science, having authored 52 papers that have together received 742 indexed citations. Recurring topics across this work include Phytochemistry and Biological Activities (10 papers), Biological Activity of Diterpenoids and Biflavonoids (9 papers), Natural product bioactivities and synthesis (7 papers), Marine Sponges and Natural Products (6 papers), Botanical Research and Chemistry (6 papers), Essential Oils and Antimicrobial Activity (5 papers), Fungal Biology and Applications (5 papers) and Chemical synthesis and alkaloids (5 papers). The work is most often cited by research in Biochemistry (74 citations), Drug Discovery (2 citations), Biotechnology (82 citations), Aquatic Science (59 citations) and Cancer Research (110 citations). Mario Silva has collaborated with scholars based in Chile, United Kingdom and Germany. Frequent co-authors include José Becerra, Peter G. Sammes, M. Bittner, Stephen A. Matlin, Guillermo Schmeda‐Hirschmann, Pedro Aqueveque, Mario J. Simirgiotis, D. S. BHAKUNI, Ferdinand Bohlmann and Víctor Hernández. Their work appears in journals such as Phytochemistry, Journal of Pharmaceutical Sciences, Natural Product Communications, Journal of Natural Products and The Journal of Antibiotics.

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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