Lara Vecchi

24 papers receiving 454 citations

Peers

Lara Vecchi
Comparison fields: 5 of 65
  • Cancer Research 59
  • Molecular Biology 269
  • Immunology 77
  • Genetics 101
  • Virology 15
Replace Carlos Mendez‐Dorantes with:
Carlos Mendez‐Dorantes United States
Bianca Alves Pauletti Brazil
David A. Scheiblin United States
Amy Baumann United States
Tim Van Acker Belgium
Cécile Saucier France
Karen J. Vincent United Kingdom
Geetika Chakravarty United States
Lily Sun United States
Anna Meyfour Iran
Lara Vecchi relative to Carlos Mendez‐Dorantes United States Carlos Mendez‐Dorantes's profile →
Citations per field
00.5×1.5×
Carlos Mendez‐Dorantes · 1×
Citations per year

Countries citing papers authored by Lara Vecchi

Since Specialization
Citations

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

Fields of papers citing papers by Lara Vecchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202177
2 201849
3 201541
4 202140
5 201937
6 201125
7 201722
8 202220
9 201719
10 201918
11 201916
12 201915
13 202013
14 201613
15 201212
16 201411
17 20187
18 20177
19 20234
20 20213

About Lara Vecchi

Lara Vecchi is a scholar working on Molecular Biology, Immunology, Genetics, Pharmacology and Oncology, having authored 24 papers that have together received 455 indexed citations. Recurring topics across this work include S100 Proteins and Annexins (6 papers), Cell death mechanisms and regulation (3 papers), Venomous Animal Envenomation and Studies (3 papers), Bioactive Natural Diterpenoids Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Blood groups and transfusion (2 papers), interferon and immune responses (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Cancer Research (59 citations), Molecular Biology (269 citations), Immunology (77 citations), Genetics (101 citations) and Virology (15 citations). Lara Vecchi has collaborated with scholars based in Brazil, United States and Italy. Frequent co-authors include Luíz Ricardo Goulart, Thaise Gonçalves Araújo, Fernanda Van Petten de Vasconcelos Azevedo, Veridiana de Melo Rodrigues, Óscar R. Burrone, Renata Santos Rodrigues, Patrícia Terra Alves, Daiana Silva Lopes, Sarah Natalie Cirilo Gimenes and Kelly Aparecida Geraldo Yoneyama. Their work appears in journals such as International Journal of Molecular Sciences, International Journal of Biological Macromolecules, Cells, Brazilian Journal of Medical and Biological Research and PLoS ONE.

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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