Fabián López-Vallejo
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- Computational Drug Discovery Methods 11
- Toxicology top 5%
- Organic Chemistry top 5%
- Carbohydrate Chemistry and Synthesis 3
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- Natural product bioactivities and synthesis 5
- Cancer therapeutics and mechanisms 4
- Chemical Synthesis and Analysis 3
- Pharmacology top 10%
- Microbial Natural Products and Biosynthesis 4
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- Tuberculosis Research and Epidemiology 4
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- Drug Transport and Resistance Mechanisms 3
- Co-authors
- José L. Medina‐FrancoRichard A. HoughtenMarc A. GiulianottiDirk KuckKarina Martínez‐MayorgaFrank LykoSamuel Estrada‐SotoGabriel Navarrete‐Vázquez
- Journals
- Journal of Agricultural and Food Chemistry (1 paper)Journal of Cell Science (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesMexicoColombia
In The Last Decade
Fabián López-Vallejo
37 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 107
- Computational Theory and Mathematics 251
- Toxicology 49
- Organic Chemistry 353
- Molecular Biology 657
- Pharmacology 160
Countries citing papers authored by Fabián López-Vallejo
This map shows the geographic impact of Fabián López-Vallejo'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 Fabián López-Vallejo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabián López-Vallejo more than expected).
Fields of papers citing papers by Fabián López-Vallejo
This network shows the impact of papers produced by Fabián López-Vallejo. 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 Fabián López-Vallejo. The network helps show where Fabián López-Vallejo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fabián López-Vallejo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2022 | 6 | |
| 4 | 2019 | 13 | |
| 5 | 2019 | 8 | |
| 6 | 2019 | 8 | |
| 7 | 2018 | 32 | |
| 8 | 2016 | 32 | |
| 9 | 2012 | 20 | |
| 10 | 2012 | 11 | |
| 11 | 2012 | 55 | |
| 12 | 2011 | 5 | |
| 13 | 2011 | 113 | |
| 14 | 2011 | 23 | |
| 15 | 2011 | 47 | |
| 16 | 2011 | 115 | |
| 17 | 2010 | 109 | |
| 18 | 2010 | 16 | |
| 19 | 2006 | 15 | |
| 20 | 2005 | 24 |
About Fabián López-Vallejo
Fabián López-Vallejo is a scholar working on Toxicology, Computational Theory and Mathematics and Biochemistry, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Natural product bioactivities and synthesis (5 papers), Microbial Natural Products and Biosynthesis (4 papers), Cancer therapeutics and mechanisms (4 papers), Tuberculosis Research and Epidemiology (4 papers), Carbohydrate Chemistry and Synthesis (3 papers), Chemical Synthesis and Analysis (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Computational Theory and Mathematics (251 citations), Toxicology (49 citations) and Organic Chemistry (353 citations). Fabián López-Vallejo has collaborated with scholars based in United States, Mexico and Colombia. Frequent co-authors include José L. Medina‐Franco, Richard A. Houghten, Marc A. Giulianotti, Dirk Kuck, Karina Martínez‐Mayorga, Frank Lyko, Samuel Estrada‐Soto, Gabriel Navarrete‐Vázquez, Adel Nefzi and Marı́a Yolanda Rios. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Journal of Cell Science and Journal of Medicinal Chemistry.
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.