Ignacio Moraleda

1.8k total citations
36 papers, 1.4k citations indexed

About

Ignacio Moraleda is a scholar working on Pharmacology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Ignacio Moraleda has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Pharmacology, 19 papers in Organic Chemistry and 18 papers in Computational Theory and Mathematics. Recurrent topics in Ignacio Moraleda's work include Cholinesterase and Neurodegenerative Diseases (31 papers), Computational Drug Discovery Methods (18 papers) and Nicotinic Acetylcholine Receptors Study (11 papers). Ignacio Moraleda is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (31 papers), Computational Drug Discovery Methods (18 papers) and Nicotinic Acetylcholine Receptors Study (11 papers). Ignacio Moraleda collaborates with scholars based in Spain, Italy and France. Ignacio Moraleda's co-authors include Isabel Iriepa, José Marco‐Contelles, Abdelouahid Samadi, Mourad Chioua, Mercedes Unzeta, Gerard Esteban, Enrique J. Galvez, Óscar M. Bautista‐Aguilera, Cristóbal de los Rı́os and Manuela Bartolini and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Science of The Total Environment and International Journal of Molecular Sciences.

In The Last Decade

Ignacio Moraleda

36 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ignacio Moraleda Spain 24 922 655 614 440 257 36 1.4k
Isabel Iriepa Spain 27 1.0k 1.1× 953 1.5× 744 1.2× 663 1.5× 314 1.2× 109 2.1k
Zhenghuai Tan China 26 1.1k 1.2× 527 0.8× 679 1.1× 382 0.9× 562 2.2× 57 1.7k
Farshad Homayouni Moghadam Iran 21 763 0.8× 779 1.2× 547 0.9× 361 0.8× 164 0.6× 49 1.4k
Xingshu Li China 23 948 1.0× 607 0.9× 503 0.8× 445 1.0× 309 1.2× 29 1.5k
Albert Badı́a Spain 19 970 1.1× 659 1.0× 668 1.1× 485 1.1× 298 1.2× 51 1.6k
Rong Sheng China 23 588 0.6× 718 1.1× 390 0.6× 556 1.3× 189 0.7× 103 1.7k
Preet Anand India 10 680 0.7× 566 0.9× 346 0.6× 306 0.7× 244 0.9× 12 1.4k
Earl Martin Canada 20 773 0.8× 315 0.5× 476 0.8× 412 0.9× 228 0.9× 46 1.2k
Yoshiharu Yamanishi Japan 14 632 0.7× 348 0.5× 284 0.5× 286 0.7× 140 0.5× 24 1.1k
Qian-sheng Yu United States 16 1.2k 1.3× 490 0.7× 756 1.2× 517 1.2× 430 1.7× 20 1.9k

Countries citing papers authored by Ignacio Moraleda

Since Specialization
Citations

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

Fields of papers citing papers by Ignacio Moraleda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ignacio Moraleda

This figure shows the co-authorship network connecting the top 25 collaborators of Ignacio Moraleda. A scholar is included among the top collaborators of Ignacio Moraleda 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 Ignacio Moraleda. Ignacio Moraleda 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.
Martin, Hélène, Ignacio Moraleda, Alexandre Bonet, et al.. (2020). Synthesis of Hantzsch Adducts as Cholinesterases and Calcium Flux inhibitors, Antioxidants and Neuroprotectives. International Journal of Molecular Sciences. 21(20). 7652–7652. 13 indexed citations
2.
Montanari, Serena, Alì Mokhtar Mahmoud, Letizia Pruccoli, et al.. (2019). Discovery of novel benzofuran-based compounds with neuroprotective and immunomodulatory properties for Alzheimer's disease treatment. European Journal of Medicinal Chemistry. 178. 243–258. 41 indexed citations
3.
Elzahhar, Perihan A., Hossam A. Shaltout, Marwa M. Abu‐Serie, et al.. (2019). Tackling neuroinflammation and cholinergic deficit in Alzheimer's disease: Multi-target inhibitors of cholinesterases, cyclooxygenase-2 and 15-lipoxygenase. European Journal of Medicinal Chemistry. 167. 161–186. 83 indexed citations
4.
Ramos, Eva, Alejandra Palomino‐Antolín, Manuela Bartolini, et al.. (2019). QuinoxalineTacrine QT78, a Cholinesterase Inhibitor as a Potential Ligand for Alzheimer’s Disease Therapy. Molecules. 24(8). 1503–1503. 14 indexed citations
5.
Chioua, Mourad, Ignacio Moraleda, Isabel Iriepa, et al.. (2018). Tacripyrimidines, the first tacrine-dihydropyrimidine hybrids, as multi-target-directed ligands for Alzheimer's disease. European Journal of Medicinal Chemistry. 155. 839–846. 43 indexed citations
6.
Chioua, Mourad, Hélène Martin, Daniel Jun, et al.. (2018). Synthesis, Biological Assessment and Molecular Modeling of Racemic QuinoPyranoTacrines for Alzheimer's Disease Therapy. ChemistrySelect. 3(2). 461–466. 9 indexed citations
7.
Martin, Hélène, Alexandre Bonet, Mourad Chioua, et al.. (2017). Synthesis and Biological Assessment of Racemic Benzochromenopyrimidinetriones as Promising Agents for Alzheimer'S Disease Therapy. Future Medicinal Chemistry. 9(8). 715–721. 10 indexed citations
8.
Belfaitah, Ali, Ignacio Moraleda, Isabel Iriepa, et al.. (2016). Potent anticholinesterasic and neuroprotective pyranotacrines as inhibitors of beta-amyloid aggregation, oxidative stress and tau-phosphorylation for Alzheimer's disease. European Journal of Medicinal Chemistry. 118. 178–192. 46 indexed citations
9.
Boulebd, Houssem, Lhassane Ismaïli, Manuela Bartolini, et al.. (2016). Imidazopyranotacrines as Non-Hepatotoxic, Selective Acetylcholinesterase Inhibitors, and Antioxidant Agents for Alzheimer's Disease Therapy. Molecules. 21(4). 400–400. 19 indexed citations
10.
Benarous, Khedidja, Isabelle Bombarda, Isabel Iriepa, et al.. (2015). Harmaline and hispidin from Peganum harmala and Inonotus hispidus with binding affinity to Candida rugosa lipase: In silico and in vitro studies. Bioorganic Chemistry. 62. 1–7. 49 indexed citations
11.
Wang, Li, Gerard Esteban, Óscar M. Bautista‐Aguilera, et al.. (2014). Donepezil + propargylamine + 8-hydroxyquinoline hybrids as new multifunctional metal-chelators, ChE and MAO inhibitors for the potential treatment of Alzheimer's disease. European Journal of Medicinal Chemistry. 80. 543–561. 127 indexed citations
12.
Bautista‐Aguilera, Óscar M., Gerard Esteban, Mourad Chioua, et al.. (2014). Multipotent cholinesterase/monoamine oxidase inhibitors for the treatment of Alzheimer’s disease: design, synthesis, biochemical evaluation, ADMET, molecular modeling, and QSAR analysis of novel donepezil-pyridyl hybrids. Drug Design Development and Therapy. 8. 1893–1893. 51 indexed citations
13.
14.
Samadi, Abdelouahid, Mario de la Fuente Revenga, Concepción Pérez, et al.. (2013). Synthesis, pharmacological assessment, and molecular modeling of 6-chloro-pyridonepezils: New dual AChE inhibitors as potential drugs for the treatment of Alzheimer's disease. European Journal of Medicinal Chemistry. 67. 64–74. 33 indexed citations
15.
Chabchoub, Fakher, María Jesús Oset‐Gasque, María Pilar González, et al.. (2012). Synthesis, biological assessment, and molecular modeling of racemic 7-aryl-9,10,11,12-tetrahydro-7H-benzo[7,8]chromeno[2,3-b]quinolin-8-amines as potential drugs for the treatment of Alzheimer's disease. European Journal of Medicinal Chemistry. 54. 750–763. 67 indexed citations
16.
Samadi, Abdelouahid, Cristóbal de los Rı́os, Irene Bolea, et al.. (2012). Multipotent MAO and cholinesterase inhibitors for the treatment of Alzheimer's disease: Synthesis, pharmacological analysis and molecular modeling of heterocyclic substituted alkyl and cycloalkyl propargyl amine. European Journal of Medicinal Chemistry. 52. 251–262. 62 indexed citations
17.
Samadi, Abdelouahid, Martín Estrada, Concepción Pérez, et al.. (2012). Pyridonepezils, new dual AChE inhibitors as potential drugs for the treatment of Alzheimer's disease: Synthesis, biological assessment, and molecular modeling. European Journal of Medicinal Chemistry. 57. 296–301. 56 indexed citations
18.
Bartolini, Manuela, Marco Pistolozzi, Vincenza Andrisano, et al.. (2011). Chemical and Pharmacological Studies on Enantiomerically Pure p‐Methoxytacripyrines, Promising Multi‐Target‐Directed Ligands for the Treatment of Alzheimer’s Disease. ChemMedChem. 6(11). 1990–1997. 24 indexed citations
19.
Martins, Carla P., M. Carmo Carreiras, Rafael León, et al.. (2011). Synthesis and biological assessment of diversely substituted furo[2,3-b]quinolin-4-amine and pyrrolo[2,3-b]quinolin-4-amine derivatives, as novel tacrine analogues. European Journal of Medicinal Chemistry. 46(12). 6119–6130. 41 indexed citations
20.
Samadi, Abdelouahid, Mourad Chioua, Irene Bolea, et al.. (2011). Synthesis, biological assessment and molecular modeling of new multipotent MAO and cholinesterase inhibitors as potential drugs for the treatment of Alzheimer’s disease. European Journal of Medicinal Chemistry. 46(9). 4665–4668. 61 indexed citations

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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