Jerónimo Pachón

14.4k citations
274 papers · 9.7k indexed · h-index 53

Jerónimo Pachón

264 papers receiving 9.5k citations

Peers

Jerónimo Pachón
Comparison fields: 5 of 152
  • Molecular Medicine 5.1k
  • Endocrinology 2.3k
  • Applied Microbiology and Biotechnology 697
  • Microbiology 1.3k
  • Infectious Diseases 1.7k
Replace Germán Bou with:
Germán Bou Spain
Kwan Soo Ko South Korea
Anton Y. Peleg Australia
Kyong Ran Peck South Korea
Yoshichika Arakawa Japan
Hui Wang China
Chang‐Phone Fung Taiwan
Deirdre L. Church Canada
Thomas R. Fritsche United States
Jonathan R. Iredell Australia
Jerónimo Pachón relative to Germán Bou Spain Germán Bou's profile →
Citations per field
00.5×1.5×
Germán Bou · 1×
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-authorship network

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
#Work
1 20252
2 20240
3 20241
4 20244
5 20243
6 20240
7 20231
8 20237
9 20237
10 20223
11 20227
12 20216
13 202040
14 201941
15 201763
16 2013107
17 201130
18 201010
19 200961
20 200047

About Jerónimo Pachón

Jerónimo Pachón is a scholar working on Molecular Medicine, Endocrinology and Applied Microbiology and Biotechnology, having authored 274 papers that have together received 9.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (131 papers), Antibiotics Pharmacokinetics and Efficacy (58 papers), Pneumonia and Respiratory Infections (46 papers), Vibrio bacteria research studies (31 papers), Bacterial biofilms and quorum sensing (20 papers), Escherichia coli research studies (18 papers), Bacterial Identification and Susceptibility Testing (18 papers) and Pneumocystis jirovecii pneumonia detection and treatment (16 papers). The work is most often cited by research in Molecular Medicine (5.1k citations), Endocrinology (2.3k citations) and Applied Microbiology and Biotechnology (697 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, Rafael López-Rojas, María Eugenia Pachón-Ibáñez, Juan Domínguez-Herrera and Álvaro Pascual. 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 International Journal of Antimicrobial Agents.

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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