Jerónimo Pachón

292 papers receiving 10.9k citations

Peers

Jerónimo Pachón
Comparison fields: 5 of 149
  • Molecular Medicine 5.4k
  • Endocrinology 2.2k
  • Applied Microbiology and Biotechnology 641
  • Microbiology 1.3k
  • Infectious Diseases 1.6k
Replace Jonathan R. Iredell with:
Jonathan R. Iredell Australia
Kwan Soo Ko South Korea
Hui Wang China
Romney M. Humphries United States
Yoshichika Arakawa Japan
Giuseppe Cornaglia Italy
Thomas R. Fritsche United States
Deirdre L. Church Canada
Vincent Cattoir France
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Citations per field
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Citations per year

Countries citing papers authored by Jerónimo Pachón

Since Specialization
Citations

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

Fields of papers citing papers by Jerónimo Pachón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 302 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012469
2 1997294
3 1996292
4 1990269
5 2008228
6 2012213
7 2016198
8 2014198
9 2011185
10 2009182
11 2013168
12 2013167
13 2004152
14 1999144
15 2017127
16 2011126
17 2004126
18 2002124
19 2012120
20 2010119

About Jerónimo Pachón

Jerónimo Pachón is a scholar working on Molecular Medicine, Endocrinology, Epidemiology, Pharmacology and Infectious Diseases, having authored 302 papers that have together received 11.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (134 papers), Antibiotics Pharmacokinetics and Efficacy (49 papers), Pneumonia and Respiratory Infections (35 papers), Vibrio bacteria research studies (31 papers), Escherichia coli research studies (16 papers), Bacterial Identification and Susceptibility Testing (16 papers), Bacterial biofilms and quorum sensing (15 papers) and Influenza Virus Research Studies (14 papers). The work is most often cited by research in Molecular Medicine (5.4k citations), Endocrinology (2.2k citations), Applied Microbiology and Biotechnology (641 citations), Microbiology (1.3k citations) and Infectious Diseases (1.6k citations). Jerónimo Pachón has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Michael J. McConnell, Younes Smani, José Miguel Cisneros, Jordi Vilà, Jiménez-Mejías Me, Rafael López-Rojas, Luis Actis, María Eugenia Pachón-Ibáñez, Juan Domínguez-Herrera and Álvaro Pascual Hernández. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, European Journal of Clinical Microbiology & Infectious Diseases, Clinical Microbiology and Infection, Journal of Antimicrobial Chemotherapy and Journal of 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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