Gemma Agustí

585 citations
25 papers · 454 · h-index 14

Impact in

Papers in

    • Vibrio bacteria research studies 7
    • Legionella and Acanthamoeba research 7
    • Bacterial biofilms and quorum sensing 4
    • Molecular Biology Techniques and Applications 3
    • CRISPR and Genetic Engineering 3

Gemma Agustí

24 papers receiving 443 citations

Peers

Gemma Agustí
Comparison fields: 5 of 85
  • Endocrinology 99
  • Infectious Diseases 146
  • Microbiology 28
  • Biotechnology 36
  • Epidemiology 121
Replace Norman Mauder with:
Norman Mauder Germany
I‐Hsiu Huang Taiwan
Mark Pryjma Canada
Tatiane Furtado de Carvalho Brazil
Erling Feng China
Jinghua Cui China
Mario Vaerewijck Belgium
Chiara Catavitello Italy
Evert van Zanten Netherlands
Neil Doherty United Kingdom
Gemma Agustí relative to Norman Mauder Germany Norman Mauder's profile →
Citations per field
00.5×1.5×2.1×
Norman Mauder · 1×
Citations per year

Countries citing papers authored by Gemma Agustí

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Agustí

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201070
2 201936
3 200536
4 201035
5 200833
6 201533
7 201127
8 201221
9 201720
10 201719
11 201719
12 201616
13 201116
14 201214
15 201812
16 200612
17 200811
18 20237
19 20225
20 20083

About Gemma Agustí

Gemma Agustí is a scholar working on Endocrinology, Molecular Biology, Infectious Diseases, Epidemiology and Food Science, having authored 25 papers that have together received 454 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (7 papers), Legionella and Acanthamoeba research (7 papers), Mycobacterium research and diagnosis (5 papers), Salmonella and Campylobacter epidemiology (4 papers), Tuberculosis Research and Epidemiology (4 papers), Bacterial biofilms and quorum sensing (4 papers), Molecular Biology Techniques and Applications (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Endocrinology (99 citations), Infectious Diseases (146 citations), Microbiology (28 citations), Biotechnology (36 citations) and Epidemiology (121 citations). Gemma Agustí has collaborated with scholars based in Spain, Germany and Egypt. Frequent co-authors include Francesc Codony, Mariana Fittipaldi, Marina Luquin, Esther Julián, Jordi Morató, Bárbara Adrados, Alejandro Sánchez‐Chardi, Mónica Roldán, Anna Allué‐Guardia and Père-Joan Cardona. Their work appears in journals such as Current Microbiology, Clinical and Vaccine Immunology, PLoS ONE, Journal of Bacteriology and Applied Microbiology and Biotechnology.

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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