Lorena Silva

96 papers receiving 2.1k citations

Peers

Lorena Silva
Comparison fields: 5 of 135
  • Biochemistry 259
  • Food Science 495
  • Biotechnology 225
  • Biomaterials 246
  • Plant Science 599
Replace Shruti Shukla with:
Shruti Shukla South Korea
Zhenpeng Gao China
Jiyong Park South Korea
He Qian China
Kumar Mallikarjunan United States
Liang Zhao China
Yongxin Li China
Paweł Pomastowski Poland
Chenghui Zhang China
Sudarsan Mukhopadhyay United States
Lorena Silva relative to Shruti Shukla South Korea Shruti Shukla's profile →
Citations per field
00.5×1.5×1.9×
Shruti Shukla · 1×
Citations per year

Countries citing papers authored by Lorena Silva

Since Specialization
Citations

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

Fields of papers citing papers by Lorena Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018189
2 201673
3 201669
4 202063
5 202058
6 201758
7 201854
8 202050
9 201650
10 201048
11 201747
12 202147
13 201945
14 201745
15 201544
16 201943
17 202039
18 201639
19 202038
20 202038

About Lorena Silva

Lorena Silva is a scholar working on Biochemistry, Analytical Chemistry, Complementary and alternative medicine, Food Science and Plant Science, having authored 102 papers that have together received 2.1k indexed citations. Recurring topics across this work include Phytochemicals and Antioxidant Activities (11 papers), Spectroscopy and Chemometric Analyses (9 papers), Metabolomics and Mass Spectrometry Studies (9 papers), Biofuel production and bioconversion (8 papers), Polysaccharides and Plant Cell Walls (7 papers), GABA and Rice Research (7 papers), Advanced Cellulose Research Studies (7 papers) and Advanced Chemical Sensor Technologies (6 papers). The work is most often cited by research in Biochemistry (259 citations), Food Science (495 citations), Biotechnology (225 citations), Biomaterials (246 citations) and Plant Science (599 citations). Lorena Silva has collaborated with scholars based in Brazil, Canada and France. Frequent co-authors include Elenilson G. Alves Filho, Edy Sousa de Brito, Kirley Marques Canuto, Suelí Rodrigues, Fabiano A.N. Fernandes, Morsyleide de Freitas Rosa, Nédio Jair Wurlitzer, Guilherme Julião Zocolo, Thatyane Vidal Fonteles and Henriette Monteiro Cordeiro de Azeredo. Their work appears in journals such as Food Chemistry, Food Research International, Industrial Crops and Products, International Journal of Biological Macromolecules and LWT.

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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