Manuela da Silva

39 papers receiving 934 citations

Peers

Manuela da Silva
Comparison fields: 5 of 104
  • Biotechnology 160
  • Pollution 206
  • Conservation 42
  • Cell Biology 193
  • Plant Science 416
Replace Joëlle Dupont with:
Joëlle Dupont France
Maher Gtari Tunisia
Martina Turk Slovenia
Petar Pujić France
Sathiyaraj Srinivasan South Korea
Maria del Carmen Montero‐Calasanz United Kingdom
Frank A. Fekete United States
Jeroen Heyrman Belgium
Jacqueline MacDonald Canada
Manuela da Silva relative to Joëlle Dupont France Joëlle Dupont's profile →
Citations per field
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Citations per year

Countries citing papers authored by Manuela da Silva

Since Specialization
Citations

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

Fields of papers citing papers by Manuela da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009125
2
Paraconiothyrium, a new genus to accommodate the mycoparasite Coniothyrium minitans, anamorphs of Paraphaeosphaeria, and four new species
200495
3 200682
4 201078
5 200851
6 201749
7 200347
8 199844
9
Fungi from Brazil Recorded by Batista and Co-Workers
199541
10 200635
11 200434
12 200934
13 200328
14 201324
15 202022
16 200820
17 202019
18 201118
19 202215
20 201214

About Manuela da Silva

Manuela da Silva is a scholar working on Plant Science, Molecular Biology, Pollution, Epidemiology and Health, Toxicology and Mutagenesis, having authored 42 papers that have together received 988 indexed citations. Recurring topics across this work include Enzyme-mediated dye degradation (9 papers), Fungal Infections and Studies (5 papers), Mycorrhizal Fungi and Plant Interactions (5 papers), Plant Pathogens and Fungal Diseases (5 papers), Microbial bioremediation and biosurfactants (4 papers), Pesticide and Herbicide Environmental Studies (4 papers), Fungal Biology and Applications (4 papers) and Microbial Metabolism and Applications (4 papers). The work is most often cited by research in Biotechnology (160 citations), Pollution (206 citations), Conservation (42 citations), Cell Biology (193 citations) and Plant Science (416 citations). Manuela da Silva has collaborated with scholars based in Brazil, United Kingdom and South Africa. Frequent co-authors include Lara Durães Sette, Rafaella Costa Bonugli-Santos, Elisa Espósito, Michel Rodrigo Zambrano Passarini, Lúcia Regina Durrant, Marília Martins Nishikawa, Vanderlei Perez Canhos, G.J.M. Verkley, Donald T. Wicklow and P.W. Crous. Their work appears in journals such as Memórias do Instituto Oswaldo Cruz, Plants People Planet, Marine Pollution Bulletin, Brazilian Archives of Biology and Technology and Proceedings of the National Academy of Sciences.

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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