Jaime Mella
Impact in
- Toxicology top 5%
- Bioactive Compounds and Antitumor Agents
- Organic Chemistry top 5%
- Synthesis and biological activity
- Synthesis and Biological Evaluation
- Click Chemistry and Applications
Papers in
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- Pharmacological Receptor Mechanisms and Effects 8
- Cancer therapeutics and mechanisms 8
- Receptor Mechanisms and Signaling 4
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- Synthesis and biological activity 13
- Synthesis and Biological Evaluation 10
- Co-authors
- C. David Pessoa‐Mahana (17 shared papers)Marco Mellado (17 shared papers)Christian Espinosa‐Bustos (12 shared papers)Cristian O. Salas (12 shared papers)Mauricio Cuéllar (8 shared papers)Alejandro Madrid (3 shared papers)Hernán Pessoa‐Mahana (10 shared papers)Jorge Soto‐Delgado (4 shared papers)
In The Last Decade
Jaime Mella
51 papers receiving 651 citations
Peers
Comparison fields: 5 of 83
- Toxicology 61
- Organic Chemistry 338
- Computational Theory and Mathematics 144
- Pharmacology 124
- Biochemistry 38
Countries citing papers authored by Jaime Mella
This map shows the geographic impact of Jaime Mella'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 Jaime Mella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaime Mella more than expected).
Fields of papers citing papers by Jaime Mella
This network shows the impact of papers produced by Jaime Mella. 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 Jaime Mella. The network helps show where Jaime Mella may publish in the future.
Co-authors
The 25 scholars most cited alongside Jaime Mella, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 51 | |
| 2 | 2016 | 32 | |
| 3 | 2010 | 32 | |
| 4 | 2018 | 31 | |
| 5 | 2021 | 29 | |
| 6 | 2019 | 27 | |
| 7 | 2022 | 25 | |
| 8 | 2018 | 24 | |
| 9 | 2020 | 23 | |
| 10 | 2019 | 23 | |
| 11 | 2018 | 22 | |
| 12 | 2017 | 21 | |
| 13 | 2017 | 21 | |
| 14 | 2019 | 19 | |
| 15 | 2022 | 19 | |
| 16 | 2020 | 18 | |
| 17 | 2011 | 17 | |
| 18 | 2013 | 17 | |
| 19 | 2014 | 16 | |
| 20 | 2019 | 14 |
About Jaime Mella
Jaime Mella is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Toxicology and Pharmacology, having authored 56 papers that have together received 661 indexed citations. Recurring topics across this work include Synthesis and biological activity (13 papers), Computational Drug Discovery Methods (12 papers), Synthesis and Biological Evaluation (10 papers), Bioactive Compounds and Antitumor Agents (9 papers), Pharmacological Receptor Mechanisms and Effects (8 papers), Cancer therapeutics and mechanisms (8 papers), Cannabis and Cannabinoid Research (6 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Toxicology (61 citations), Organic Chemistry (338 citations), Computational Theory and Mathematics (144 citations), Pharmacology (124 citations) and Biochemistry (38 citations). Jaime Mella has collaborated with scholars based in Chile, Spain and Czechia. Frequent co-authors include C. David Pessoa‐Mahana, Marco Mellado, Christian Espinosa‐Bustos, Cristian O. Salas, Mauricio Cuéllar, Alejandro Madrid, Hernán Pessoa‐Mahana, Jorge Soto‐Delgado, Cesar Morales‐Verdejo and Luis Espinoza. Their work appears in journals such as Molecules, Pharmaceuticals, International Journal of Molecular Sciences, Bioorganic Chemistry and Archiv der Pharmazie.
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.