Jaime Mella

810 total citations
56 papers, 661 citations indexed

About

Jaime Mella is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Jaime Mella has authored 56 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 28 papers in Organic Chemistry and 12 papers in Computational Theory and Mathematics. Recurrent topics in Jaime Mella's work include Synthesis and biological activity (13 papers), Computational Drug Discovery Methods (12 papers) and Synthesis and Biological Evaluation (10 papers). Jaime Mella is often cited by papers focused on Synthesis and biological activity (13 papers), Computational Drug Discovery Methods (12 papers) and Synthesis and Biological Evaluation (10 papers). Jaime Mella collaborates with scholars based in Chile, Spain and Portugal. Jaime Mella's 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, Luis Espinoza and Cesar Morales‐Verdejo and has published in prestigious journals such as Hepatology, International Journal of Molecular Sciences and Molecules.

In The Last Decade

Jaime Mella

51 papers receiving 651 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jaime Mella Chile 18 338 262 144 124 61 56 661
E. Manivannan India 18 480 1.4× 288 1.1× 128 0.9× 160 1.3× 49 0.8× 45 963
Ana Carolina Rennó Sodero Brazil 10 362 1.1× 348 1.3× 223 1.5× 90 0.7× 31 0.5× 22 894
Speranța Avram Romania 15 253 0.7× 311 1.2× 152 1.1× 93 0.8× 25 0.4× 74 730
Syed Nazreen Saudi Arabia 21 758 2.2× 358 1.4× 93 0.6× 127 1.0× 49 0.8× 59 1.1k
Simona Musella Italy 18 388 1.1× 402 1.5× 89 0.6× 64 0.5× 58 1.0× 43 921
Minky Son South Korea 18 157 0.5× 435 1.7× 215 1.5× 108 0.9× 24 0.4× 40 744
Marco Tutone Italy 21 257 0.8× 595 2.3× 262 1.8× 89 0.7× 25 0.4× 74 1.2k
Ram K. Modukuri India 16 442 1.3× 236 0.9× 52 0.4× 160 1.3× 36 0.6× 21 711
Syed Shafi India 17 998 3.0× 482 1.8× 90 0.6× 142 1.1× 65 1.1× 65 1.4k
Latifeh Navidpour Iran 17 517 1.5× 231 0.9× 58 0.4× 172 1.4× 20 0.3× 48 801

Countries citing papers authored by Jaime Mella

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jaime Mella

This figure shows the co-authorship network connecting the top 25 collaborators of Jaime Mella. A scholar is included among the top collaborators of Jaime Mella based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jaime Mella. Jaime Mella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sepúlveda, Gladys, Vladimı́r Kryštof, Miroslav Strnad, et al.. (2025). 3D-QSAR Design of New Bcr-Abl Inhibitors Based on Purine Scaffold and Cytotoxicity Studies on CML Cell Lines Sensitive and Resistant to Imatinib. Pharmaceuticals. 18(6). 925–925.
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Mella, Jaime, et al.. (2023). Design, Synthesis, and Structure–Activity Relationship Studies of New Quinone Derivatives as Antibacterial Agents. Antibiotics. 12(6). 1065–1065. 1 indexed citations
5.
Mella, Jaime, Pablo Aránguiz, Luis Espinoza, et al.. (2023). Cytotoxic Activity, Topoisomerase I Inhibition and In Silico Studies of New Sesquiterpene-aryl Ester Derivatives of (-) Drimenol. Molecules. 28(9). 3959–3959. 3 indexed citations
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Romanelli, Gustavo P., et al.. (2023). QSAR‐Guided Study for the Microwave‐Assisted Synthesis of 4‐Methylquinoline Derivatives with Antimycobacterial Activity. ChemistrySelect. 8(20). 2 indexed citations
8.
Çeli̇k, İsmail, et al.. (2022). Synthesis, molecular modeling, 3D-QSAR and biological evaluation studies of new benzimidazole derivatives as potential MAO-A and MAO-B inhibitors. Journal of Molecular Structure. 1265. 133444–133444. 4 indexed citations
9.
Mellado, Marco, Caroline Weinstein‐Oppenheimer, Alejandra A. Covarrubias, et al.. (2022). QSAR‐driven synthesis of antiproliferative chalcones against SH‐SY5Y cancer cells: Design, biological evaluation, and redesign. Archiv der Pharmazie. 355(7). e2200042–e2200042. 2 indexed citations
10.
Hernández, Santiago, et al.. (2022). Cancer and brassinosteroids: Mechanisms of action, SAR and future perspectives. Steroids. 190. 109153–109153. 5 indexed citations
11.
Mellado, Marco, Jaime Mella, Luis F. Aguilar, et al.. (2021). Combined 3D-QSAR and docking analysis for the design and synthesis of chalcones as potent and selective monoamine oxidase B inhibitors. Bioorganic Chemistry. 108. 104689–104689. 29 indexed citations
12.
Iturriaga‐Vásquez, Patricio, Claudio Saitz, C. David Pessoa‐Mahana, et al.. (2020). Synthesis, Docking, 3-D-Qsar, and Biological Assays of Novel Indole Derivatives Targeting Serotonin Transporter, Dopamine D2 Receptor, and Mao-A Enzyme: In the Pursuit for Potential Multitarget Directed Ligands. Molecules. 25(20). 4614–4614. 6 indexed citations
13.
Mellado, Marco, et al.. (2020). 3-Arylcoumarins as highly potent and selective monoamine oxidase B inhibitors: Which chemical features matter?. Bioorganic Chemistry. 101. 103964–103964. 18 indexed citations
14.
Pessoa‐Mahana, Hernán, Patricio Iturriaga‐Vásquez, Miguel Reyes‐Parada, et al.. (2019). Synthesis of Novel Nicotinic Ligands with Multimodal Action: Targeting Acetylcholine α4β2, Dopamine and Serotonin Transporters. Molecules. 24(20). 3808–3808. 1 indexed citations
15.
Kryštof, Vladimı́r, Radek Jorda, Alejandro Castro‐Álvarez, et al.. (2019). New 2,6,9-trisubstituted purine derivatives as Bcr-Abl and Btk inhibitors and as promising agents against leukemia. Bioorganic Chemistry. 94. 103361–103361. 19 indexed citations
16.
Mella, Jaime, et al.. (2018). Novel Classes of Antibacterial Drugs in Clinical Development, a Hope in a Post-antibiotic Era. Current Topics in Medicinal Chemistry. 18(14). 1188–1202. 24 indexed citations
17.
Catalán, Mabel, Jorge Ferreira, Cristina Theoduloz, et al.. (2018). Antiproliferative and proapoptotic activities of aza-annulated naphthoquinone analogs. Toxicology in Vitro. 54. 375–390. 3 indexed citations
18.
Tapia, Ricardo A., Mario Faúndez, Cesar Morales‐Verdejo, et al.. (2017). Combined CoMFA and CoMSIA 3D-QSAR study of benzimidazole and benzothiophene derivatives with selective affinity for the CB2 cannabinoid receptor. European Journal of Pharmaceutical Sciences. 101. 1–10. 21 indexed citations
19.
Vásquez, David, et al.. (2015). A combined CoMFA and CoMSIA 3D-QSAR study of benzamide type antibacterial inhibitors of the FtsZ protein in drug-resistant Staphylococcus aureus. SAR and QSAR in environmental research. 26(11). 925–942. 2 indexed citations
20.

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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