Daniel González

132 papers receiving 2.8k citations

Peers

Daniel González
Comparison fields: 5 of 137
  • Applied Microbiology and Biotechnology 94
  • Molecular Medicine 236
  • Pharmacology 744
  • Pharmacology 280
  • Pediatrics, Perinatology and Child Health 556
Replace Evan James Begg with:
Evan James Begg New Zealand
Georges Houin France
Anne N. Nafziger United States
Thaddeus H. Grasela United States
Michael Cohen‐Wolkowiez United States
Sylvain Goutelle France
Chris R. Stockmann United States
Joseph F. Standing United Kingdom
Vincent Jullien France
Charlotte Kloft Germany
Daniel González relative to Evan James Begg New Zealand Evan James Begg's profile →
Citations per field
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Evan James Begg · 1×
Citations per year

Countries citing papers authored by Daniel González

Since Specialization
Citations

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

Fields of papers citing papers by Daniel González

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009277
2 2020162
3 2021145
4 2013131
5 2016122
6 202096
7 200476
8 201575
9 201767
10 201665
11 201660
12 201458
13 201457
14 200754
15 201650
16 202042
17 201539
18 201738
19 202137
20 201737

About Daniel González

Daniel González is a scholar working on Pediatrics, Perinatology and Child Health, Pharmacology, Pharmacology, Infectious Diseases and Anesthesiology and Pain Medicine, having authored 146 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pharmaceutical studies and practices (40 papers), Antibiotics Pharmacokinetics and Efficacy (30 papers), Pharmacogenetics and Drug Metabolism (15 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Pneumonia and Respiratory Infections (8 papers), Pharmacological Effects and Toxicity Studies (7 papers), Anesthesia and Sedative Agents (6 papers) and Epilepsy research and treatment (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (94 citations), Molecular Medicine (236 citations), Pharmacology (744 citations), Pharmacology (280 citations) and Pediatrics, Perinatology and Child Health (556 citations). Daniel González has collaborated with scholars based in United States, Canada and Mexico. Frequent co-authors include Hartmut Derendorf, Stephan Schmidt, Michael Cohen‐Wolkowiez, Christoph Paul Vincent Hornik, Nikolas J. Onufrak, Alan Forrest, Daniel K. Benjamin, Sara N. Salerno, Kevin M. Watt and Andrea N. Edginton. Their work appears in journals such as The Journal of Clinical Pharmacology, CPT Pharmacometrics & Systems Pharmacology, Antimicrobial Agents and Chemotherapy, Clinical Pharmacokinetics and Clinical Pharmacology & Therapeutics.

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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