Giulia Pilla

555 citations
9 papers · 379 · h-index 7

Impact in

Papers in

    • Escherichia coli research studies 6
    • Vibrio bacteria research studies 2
    • Viral gastroenteritis research and epidemiology 3
    • Antimicrobial Resistance in Staphylococcus 1

Giulia Pilla

7 papers receiving 371 citations

Peers

Giulia Pilla
Comparison fields: 5 of 85
  • Molecular Medicine 118
  • Endocrinology 103
  • Applied Microbiology and Biotechnology 36
  • Infectious Diseases 71
  • Food Science 61
Replace Sohidul Islam with:
Sohidul Islam Bangladesh
Clara Ballesté‐Delpierre Spain
Lidia Ruiz‐Roldán Spain
Gertrudis Horna Peru
Umji Choi South Korea
Suhad Saad Mahmood Iraq
Luis Esaú López-Jácome Mexico
Laura Ioana Popa Romania
Tran Do Hoang Nhu Vietnam
Teresa Gil‐Gil Spain
Giulia Pilla relative to Sohidul Islam Bangladesh Sohidul Islam's profile →
Citations per field
00.5×3.7×
Sohidul Islam · 1×
Citations per year

Countries citing papers authored by Giulia Pilla

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Pilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Giulia Pilla, 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 Giulia Pilla Line = papers co-authored together Giulia Pilla links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Penicillin's Discovery and Antibiotic Resistance: Lessons for the Future?
2017218
2 201886
3 201739
4 201914
5 20199
6 20217
7 20226
8 20240
9 20250

About Giulia Pilla

Giulia Pilla is a scholar working on Endocrinology, Infectious Diseases, Genetics, Food Science and Molecular Medicine, having authored 9 papers that have together received 379 indexed citations. Recurring topics across this work include Escherichia coli research studies (6 papers), Bacterial Genetics and Biotechnology (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Salmonella and Campylobacter epidemiology (3 papers), Vibrio bacteria research studies (2 papers), Antibiotic Resistance in Bacteria (2 papers), Antibiotic Use and Resistance (1 paper) and Antimicrobial Resistance in Staphylococcus (1 paper). The work is most often cited by research in Molecular Medicine (118 citations), Endocrinology (103 citations), Applied Microbiology and Biotechnology (36 citations), Infectious Diseases (71 citations) and Food Science (61 citations). Giulia Pilla has collaborated with scholars based in United Kingdom, Denmark and Taiwan. Frequent co-authors include Christoph M. Tang, Gareth McVicker, Guangyu Liu, Alessandra Carattoli, Gabriele Arcari, Tao Wu, Eileen M. Barry, Jennifer Foulke‐Abel, Rachel M. Exley and Mark de Boer. Their work appears in journals such as Molecular Microbiology, mBio, PLoS Genetics, Pathogens and Acta Orthopaedica.

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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