Lucía F. Zacchi

804 citations
27 papers · 535 · h-index 12

Impact in

Papers in

Lucía F. Zacchi

27 papers receiving 530 citations

Peers

Lucía F. Zacchi
Comparison fields: 5 of 77
  • Infectious Diseases 120
  • Molecular Biology 302
  • Spectroscopy 74
  • Microbiology 19
  • Epidemiology 93
Replace Luiza Deszcz with:
Luiza Deszcz Austria
Kristina Hempel Germany
Ben Fancke Germany
Cristina M. Dorobantu Netherlands
Tobias Nolden Germany
Anh Tran Canada
Keyur A. Dave Australia
Christina Traving Germany
István Reményi Hungary
Lucía F. Zacchi relative to Luiza Deszcz Austria Luiza Deszcz's profile →
Citations per field
00.5×2.9×
Luiza Deszcz · 1×
Citations per year

Countries citing papers authored by Lucía F. Zacchi

Since Specialization
Citations

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

Fields of papers citing papers by Lucía F. Zacchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lucía F. Zacchi. 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 Lucía F. Zacchi. The network helps show where Lucía F. Zacchi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202374
2 201669
3 201563
4 201363
5 201035
6 201030
7 201727
8 201418
9 201817
10 201816
11 202215
12 202014
13 201711
14 202111
15 202010
16 201010
17 20219
18 20209
19 20148
20 20196

About Lucía F. Zacchi

Lucía F. Zacchi is a scholar working on Molecular Biology, Infectious Diseases, Cell Biology, Cellular and Molecular Neuroscience and Epidemiology, having authored 27 papers that have together received 535 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (7 papers), Antifungal resistance and susceptibility (5 papers), Advanced Proteomics Techniques and Applications (4 papers), Genetic Neurodegenerative Diseases (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Fungal and yeast genetics research (3 papers), Fungal Infections and Studies (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Infectious Diseases (120 citations), Molecular Biology (302 citations), Spectroscopy (74 citations), Microbiology (19 citations) and Epidemiology (93 citations). Lucía F. Zacchi has collaborated with scholars based in Australia, United States and Argentina. Frequent co-authors include Benjamin L. Schulz, Dana A. Davis, Hang T. Ta, Yuao Wu, Judith Berman, Maryam Gerami‐Nejad, Mark McClellan, Jonathan Gómez‐Raja, Wade L. Schulz and Toan K. Phung. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences, Biochemical and Biophysical Research Communications, Cell Reports and Journal of Animal Science.

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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