Eleonora Gianquinto

27 papers receiving 492 citations

Peers

Eleonora Gianquinto
Comparison fields: 5 of 83
  • Molecular Medicine 168
  • Applied Microbiology and Biotechnology 20
  • Infectious Diseases 92
  • Pharmacology 64
  • Molecular Biology 181
Replace Mark Laws with:
Mark Laws United Kingdom
Mohammad Faheem Pakistan
Allie Y. Chen United States
I. Pettinati United Kingdom
Sook Y. Lee United Kingdom
Kenneth Scott McKeegan United Kingdom
Michael Wong United States
Robert E. Lee Trout United States
Stefania Morandi Italy
Serge H. Boyer United States
Eleonora Gianquinto relative to Mark Laws United Kingdom Mark Laws's profile →
Citations per field
00.5×
Mark Laws · 1×
Citations per year

Countries citing papers authored by Eleonora Gianquinto

Since Specialization
Citations

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

Fields of papers citing papers by Eleonora Gianquinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018139
2 202059
3 202137
4 201935
5 202030
6 201927
7 202326
8 202014
9 202414
10 202213
11 202111
12 202210
13 202010
14 202410
15 20228
16 20247
17 20227
18 20207
19 20217
20 20225

About Eleonora Gianquinto

Eleonora Gianquinto is a scholar working on Molecular Biology, Infectious Diseases, Molecular Medicine, Epidemiology and Genetics, having authored 28 papers that have together received 495 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Tuberculosis Research and Epidemiology (4 papers), Inflammasome and immune disorders (4 papers), Computational Drug Discovery Methods (3 papers), Streptococcal Infections and Treatments (2 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Molecular Medicine (168 citations), Applied Microbiology and Biotechnology (20 citations), Infectious Diseases (92 citations), Pharmacology (64 citations) and Molecular Biology (181 citations). Eleonora Gianquinto has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Francesca Spyrakis, Donatella Tondi, Laura Cendron, Pasquale Linciano, Stefano Bettati, Barbara Campanini, Luca Ronda, Marialaura Marchetti, Gabriele Cruciani and Loretta Lazzarato. Their work appears in journals such as Molecules, Pharmaceuticals, Scientific Reports, International Journal of Molecular Sciences and FEBS Journal.

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.

Explore authors with similar magnitude of impact