Jerónimo Pachón

260 papers receiving 9.5k citations

Peers

Jerónimo Pachón
Comparison fields: 5 of 147
  • Molecular Medicine 4.8k
  • Endocrinology 2.0k
  • Applied Microbiology and Biotechnology 522
  • Microbiology 1.2k
  • Critical Care and Intensive Care Medicine 323
Replace Germán Bou with:
Germán Bou Spain
Kwan Soo Ko South Korea
Yoshichika Arakawa Japan
Hui Wang China
Deirdre L. Church Canada
Thomas R. Fritsche United States
Chang‐Phone Fung Taiwan
Jonathan R. Iredell Australia
James J. Rahal United States
Dongeun Yong South Korea
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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 270 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012451
2 1996280
3 1997263
4 1990244
5 2008222
6 2012207
7 2014186
8 2016181
9 2011174
10 2009173
11 2013159
12 2013157
13 2004145
14 1999130
15 2004121
16 2017120
17 2002116
18 2011116
19 2012115
20 2010115

About Jerónimo Pachón

Jerónimo Pachón is a scholar working on Molecular Medicine, Epidemiology, Pharmacology, Endocrinology and Molecular Biology, having authored 270 papers that have together received 9.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (124 papers), Antibiotics Pharmacokinetics and Efficacy (46 papers), Pneumonia and Respiratory Infections (33 papers), Vibrio bacteria research studies (28 papers), Escherichia coli research studies (16 papers), Bacterial biofilms and quorum sensing (15 papers), Bacterial Identification and Susceptibility Testing (15 papers) and Influenza Virus Research Studies (14 papers). The work is most often cited by research in Molecular Medicine (4.8k citations), Endocrinology (2.0k citations), Applied Microbiology and Biotechnology (522 citations), Microbiology (1.2k citations) and Critical Care and Intensive Care Medicine (323 citations). Jerónimo Pachón has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Michael J. McConnell, Younes Smani, Jordi Vilà, José Miguel Cisneros, Jiménez-Mejías Me, Luis A. Actis, María Eugenia Pachón-Ibáñez, Rafael López-Rojas, Juan Domínguez-Herrera and Álvaro Pascual. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Clinical Microbiology and Infection, European Journal of Clinical Microbiology & Infectious Diseases, Journal of Antimicrobial Chemotherapy and Antibiotics.

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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