E Ronco

1.7k citations
45 papers · 1.3k · h-index 22

Impact in

Papers in

E Ronco

43 papers receiving 1.3k citations

Peers

E Ronco
Comparison fields: 5 of 86
  • Molecular Medicine 643
  • Endocrinology 529
  • Applied Microbiology and Biotechnology 70
  • Infectious Diseases 423
  • Clinical Biochemistry 127
Replace Ju‐Hsin Chia with:
Ju‐Hsin Chia Taiwan
Sook-In Jung South Korea
J. Croizé France
Izabela Kern-Zdanowicz Poland
Alyssa Shon United States
Jing-Jou Yan Taiwan
Jiunn‐Jong Wu Taiwan
Jun‐Ren Sun Taiwan
Eui-Chong Kim South Korea
Kotaro Aoki Japan
E Ronco relative to Ju‐Hsin Chia Taiwan Ju‐Hsin Chia's profile →
Citations per field
00.5×1.5×
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 1993166
2 2001143
3 1999112
4 2009102
5 199279
6 199275
7 201065
8 200951
9 199248
10 200545
11 198841
12
Production and characterization of monoclonal antibodies against rat brush border antigens of the proximal convoluted tubule.
198441
13 201640
14 199737
15 199332
16 200528
17
Impairment of lymphocyte proliferative responses and interleukin-2 production in susceptible (C57BL/6) mice infected with Salmonella typhimurium.
198625
18 198524
19 199423
20 199923

About E Ronco

E Ronco is a scholar working on Molecular Medicine, Endocrinology, Infectious Diseases, Molecular Biology and Applied Microbiology and Biotechnology, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (22 papers), Antibiotic Use and Resistance (8 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Bacterial biofilms and quorum sensing (6 papers), Infections and bacterial resistance (6 papers), Infectious Disease Case Reports and Treatments (6 papers), Salmonella and Campylobacter epidemiology (5 papers) and Escherichia coli research studies (4 papers). The work is most often cited by research in Molecular Medicine (643 citations), Endocrinology (529 citations), Applied Microbiology and Biotechnology (70 citations), Infectious Diseases (423 citations) and Clinical Biochemistry (127 citations). E Ronco has collaborated with scholars based in France, Switzerland and Italy. Frequent co-authors include Patrice Nordmann, C Nauciel, Laurent Poirel, Thierry Naas, Jean‐Louis Gaillard, Y Michel-Briand, Catherine Duport, 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 Clinical Microbiology and Infection.

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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