E Ronco

43 papers receiving 1.3k citations

Peers

E Ronco
Comparison fields: 5 of 86
  • Molecular Medicine 640
  • Endocrinology 499
  • Applied Microbiology and Biotechnology 55
  • Infectious Diseases 439
  • Clinical Biochemistry 125
Replace Ju‐Hsin Chia with:
Ju‐Hsin Chia Taiwan
J. Croizé France
Sook-In Jung South Korea
Antonios N. Maniatis Greece
Eui-Chong Kim South Korea
Alyssa Shon United States
Axel Hamprecht Germany
Jiunn‐Jong Wu Taiwan
Ryoichi Okamoto Japan
Celestino Bonura Italy
E Ronco relative to Ju‐Hsin Chia Taiwan Ju‐Hsin Chia's profile →
Citations per field
00.5×1.6×
Ju‐Hsin Chia · 1×
Citations per year

Countries citing papers authored by E Ronco

Since Specialization
Citations

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

Fields of papers citing papers by E Ronco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993171
2 2001150
3 1999112
4 2009109
5 199288
6 199279
7 201068
8 199252
9 200951
10 198847
11 200546
12
Production and characterization of monoclonal antibodies against rat brush border antigens of the proximal convoluted tubule.
198443
13 199741
14 201641
15 199332
16 200528
17 199426
18 198526
19 201026
20
Impairment of lymphocyte proliferative responses and interleukin-2 production in susceptible (C57BL/6) mice infected with Salmonella typhimurium.
198626

About E Ronco

E Ronco is a scholar working on Molecular Medicine, Endocrinology, Infectious Diseases, Molecular Biology and Pharmacology, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (21 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Antibiotic Use and Resistance (7 papers), Infectious Disease Case Reports and Treatments (6 papers), Infections and bacterial resistance (6 papers), Bacterial biofilms and quorum sensing (6 papers), Salmonella and Campylobacter epidemiology (5 papers) and Viral gastroenteritis research and epidemiology (4 papers). The work is most often cited by research in Molecular Medicine (640 citations), Endocrinology (499 citations), Applied Microbiology and Biotechnology (55 citations), Infectious Diseases (439 citations) and Clinical Biochemistry (125 citations). E Ronco has collaborated with scholars based in France, Switzerland and Canada. Frequent co-authors include Patrice Nordmann, C Nauciel, Laurent Poirel, Thierry Naas, Jean‐Louis Gaillard, Catherine Duport, Y Michel-Briand, Roger Labia, Salih Türkoğlu and Thierry Lambert. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Infection and Immunity, Journal of Clinical Microbiology, Journal of Medical Microbiology and The Journal of Infectious Diseases.

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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