María‐Jesús Blanco

2.3k total citations · 1 hit paper
36 papers, 1.7k citations indexed

About

María‐Jesús Blanco is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, María‐Jesús Blanco has authored 36 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 15 papers in Organic Chemistry and 6 papers in Pharmacology. Recurrent topics in María‐Jesús Blanco's work include Chemical Synthesis and Analysis (9 papers), Receptor Mechanisms and Signaling (5 papers) and Carbohydrate Chemistry and Synthesis (4 papers). María‐Jesús Blanco is often cited by papers focused on Chemical Synthesis and Analysis (9 papers), Receptor Mechanisms and Signaling (5 papers) and Carbohydrate Chemistry and Synthesis (4 papers). María‐Jesús Blanco collaborates with scholars based in United States, Spain and United Kingdom. María‐Jesús Blanco's co-authors include Melissa J. Buskes, Jean‐Claude Chambron, Valérie Heitz, Jean‐Pierre Sauvage, Kevin M. Gardinier, F. Javier Sardina, Myriam Linke, M. Consuelo Jiménez, R. Scott Lokey and Matthew R. Naylor and has published in prestigious journals such as Chemical Society Reviews, Journal of Medicinal Chemistry and The Journal of Organic Chemistry.

In The Last Decade

María‐Jesús Blanco

35 papers receiving 1.6k citations

Hit Papers

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Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
María‐Jesús Blanco 732 724 277 169 144 36 1.7k
Eric S. Manas 796 1.1× 782 1.1× 298 1.1× 351 2.1× 110 0.8× 39 2.3k
Bartosz Trzaskowski 980 1.3× 965 1.3× 310 1.1× 106 0.6× 101 0.7× 143 2.3k
Luc Demange 980 1.3× 919 1.3× 327 1.2× 69 0.4× 248 1.7× 54 2.3k
Cristiano R. W. Guimarães 878 1.2× 670 0.9× 181 0.7× 280 1.7× 72 0.5× 56 1.8k
J. Phillip Bowen 1.0k 1.4× 905 1.3× 129 0.5× 131 0.8× 187 1.3× 86 2.1k
Jeffrey S. Albert 588 0.8× 370 0.5× 162 0.6× 228 1.3× 93 0.6× 35 1.0k
Simon F. Campbell 833 1.1× 791 1.1× 191 0.7× 96 0.6× 100 0.7× 54 1.9k
Santiago Vázquez 849 1.2× 737 1.0× 87 0.3× 92 0.5× 91 0.6× 128 2.2k
Salvatore Vomero 735 1.0× 1.3k 1.7× 242 0.9× 110 0.7× 124 0.9× 82 2.1k
Pavel A. Petukhov 1.2k 1.6× 801 1.1× 121 0.4× 174 1.0× 250 1.7× 88 2.3k

Countries citing papers authored by María‐Jesús Blanco

Since Specialization
Citations

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

Fields of papers citing papers by María‐Jesús Blanco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María‐Jesús Blanco. 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 María‐Jesús Blanco. The network helps show where María‐Jesús Blanco may publish in the future.

Co-authorship network of co-authors of María‐Jesús Blanco

This figure shows the co-authorship network connecting the top 25 collaborators of María‐Jesús Blanco. A scholar is included among the top collaborators of María‐Jesús Blanco 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 María‐Jesús Blanco. María‐Jesús Blanco 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.
Blanco, María‐Jesús, et al.. (2024). Allostery Illuminated: Harnessing AI and Machine Learning for Drug Discovery. ACS Medicinal Chemistry Letters. 15(9). 1449–1455. 3 indexed citations
2.
Buskes, Melissa J., et al.. (2023). Accelerating Drug Discovery: Synthesis of Complex Chemotypes via Multicomponent Reactions. ACS Medicinal Chemistry Letters. 14(4). 376–385. 51 indexed citations
3.
Blanco, María‐Jesús, Kevin M. Gardinier, & Mark Namchuk. (2022). Advancing New Chemical Modalities into Clinical Studies. ACS Medicinal Chemistry Letters. 13(11). 1691–1698. 32 indexed citations
4.
Hill, Matthew D., María‐Jesús Blanco, Francesco G. Salituro, et al.. (2022). SAGE-718: A First-in-ClassN-Methyl-d-Aspartate Receptor Positive Allosteric Modulator for the Potential Treatment of Cognitive Impairment. Journal of Medicinal Chemistry. 65(13). 9063–9075. 28 indexed citations
5.
Miller, Silke & María‐Jesús Blanco. (2021). Small molecule therapeutics for neuroinflammation-mediated neurodegenerative disorders. RSC Medicinal Chemistry. 12(6). 871–886. 14 indexed citations
6.
Blanco, María‐Jesús & Donna M. Huryn. (2020). Women in Medicinal Chemistry Special Issue. ACS Medicinal Chemistry Letters. 11(3). 210–211. 1 indexed citations
7.
Blanco, María‐Jesús & Kevin M. Gardinier. (2020). New Chemical Modalities and Strategic Thinking in Early Drug Discovery. ACS Medicinal Chemistry Letters. 11(3). 228–231. 86 indexed citations
8.
Han, Bingsong, Francesco G. Salituro, & María‐Jesús Blanco. (2020). Impact of Allosteric Modulation in Drug Discovery: Innovation in Emerging Chemical Modalities. ACS Medicinal Chemistry Letters. 11(10). 1810–1819. 42 indexed citations
9.
Blanco, María‐Jesús & James E. Audia. (2020). Mentoring Matters in Drug Discovery. ACS Medicinal Chemistry Letters. 11(3). 241–244.
10.
Buskes, Melissa J. & María‐Jesús Blanco. (2020). Impact of Cross-Coupling Reactions in Drug Discovery and Development. Molecules. 25(15). 3493–3493. 204 indexed citations
11.
Hopper, Allen T., et al.. (2019). Allosteric Modalities for Membrane-Bound Receptors: Insights from Drug Hunting for Brain Diseases. Journal of Medicinal Chemistry. 62(13). 5979–6002. 16 indexed citations
12.
Naylor, Matthew R., Cameron R. Pye, Akihiro Furukawa, et al.. (2018). Lipophilic Permeability Efficiency Reconciles the Opposing Roles of Lipophilicity in Membrane Permeability and Aqueous Solubility. Journal of Medicinal Chemistry. 61(24). 11169–11182. 142 indexed citations
13.
Chandrasekhar, Srinivasan, Anita K. Harvey, J.L. Oskins, et al.. (2017). Analgesic and anti‐inflammatory properties of novel, selective, and potent EP4 receptor antagonists. Pharmacology Research & Perspectives. 5(3). e00316–e00316. 15 indexed citations
14.
Blanco, María‐Jesús, et al.. (2017). Breakthroughs in neuroactive steroid drug discovery. Bioorganic & Medicinal Chemistry Letters. 28(2). 61–70. 40 indexed citations
15.
16.
Durham, Timothy B. & María‐Jesús Blanco. (2015). Target Engagement in Lead Generation. Bioorganic & Medicinal Chemistry Letters. 25(5). 998–1008. 66 indexed citations
17.
Blanco, María‐Jesús, Tatiana Vetman, Srinivasan Chandrasekhar, et al.. (2015). Discovery of substituted-2,4-dimethyl-(naphthalene-4-carbonyl)amino-benzoic acid as potent and selective EP4 antagonists. Bioorganic & Medicinal Chemistry Letters. 26(1). 105–109. 5 indexed citations
18.
Broad, Lisa M., et al.. (2008). TRP channels as emerging targets for pain therapeutics. Expert Opinion on Therapeutic Targets. 13(1). 69–81. 38 indexed citations
19.
Broad, Lisa M., et al.. (2008). Recent Progress in the Development of Selective TRPV1 Antagonists for Pain. Current Topics in Medicinal Chemistry. 8(16). 1431–1441. 31 indexed citations
20.
Blanco, María‐Jesús, et al.. (1999). Design and syntheses of three haptens to generate catalytic antibodies that cleave amide bonds with nucleophilic catalysis. Bioorganic & Medicinal Chemistry. 7(2). 279–286. 14 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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