Benito Muñoz

6.1k citations
73 papers · 1.8k · h-index 23

Impact in

    • Synthesis and Biological Evaluation
    • Catalytic C–H Functionalization Methods
    • Chemical Synthesis and Analysis
    • Genomics, phytochemicals, and oxidative stress

Papers in

Benito Muñoz

71 papers receiving 1.7k citations

Peers

Benito Muñoz
Comparison fields: 5 of 104
  • Organic Chemistry 645
  • Molecular Biology 906
  • Cancer Research 162
  • Pharmaceutical Science 60
  • Toxicology 29
Replace Sivaraman Dandapani with:
Sivaraman Dandapani United States
Eugene L. Stewart United States
Kunal Nepali Taiwan
Martin Rowlands United Kingdom
Marco L. Lolli Italy
Renate Griffith Australia
Donatella Boschi Italy
Satoshi Sogabe Japan
William J. Hoekstra United States
Zhihua Sui United States
Benito Muñoz relative to Sivaraman Dandapani United States Sivaraman Dandapani's profile →
Citations per field
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Sivaraman Dandapani · 1×
Citations per year

Countries citing papers authored by Benito Muñoz

Since Specialization
Citations

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

Fields of papers citing papers by Benito Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011187
2 2013163
3 2012119
4 199377
5 199374
6 198762
7 201760
8 201650
9 200642
10 200441
11 202040
12 199835
13 201335
14 201134
15 200933
16 201433
17 201231
18 200429
19 201228
20 199425

About Benito Muñoz

Benito Muñoz is a scholar working on Molecular Biology, Organic Chemistry, Infectious Diseases, Oncology and Epidemiology, having authored 73 papers that have together received 1.8k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (13 papers), Neuroscience and Neuropharmacology Research (6 papers), Antifungal resistance and susceptibility (6 papers), Synthesis and Biological Evaluation (6 papers), Fungal Infections and Studies (5 papers), Enzyme Catalysis and Immobilization (4 papers), Drug Transport and Resistance Mechanisms (4 papers) and HIV/AIDS drug development and treatment (4 papers). The work is most often cited by research in Organic Chemistry (645 citations), Molecular Biology (906 citations), Cancer Research (162 citations), Pharmaceutical Science (60 citations) and Toxicology (29 citations). Benito Muñoz has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Stuart L. Schreiber, Michelle Palmer, Sivaraman Dandapani, Chixu Chen, Timothy A. Lewis, Michel Weïwer, Chi Huey Wong, Herbert L. Holland, Joshua A. Bittker and Lawrence MacPherson. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, ACS Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry and SLAS DISCOVERY.

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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