Lucita Jimenez

529 total citations
16 papers, 451 citations indexed

About

Lucita Jimenez is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Animal Science and Zoology. According to data from OpenAlex, Lucita Jimenez has authored 16 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Animal Science and Zoology. Recurrent topics in Lucita Jimenez's work include Receptor Mechanisms and Signaling (11 papers), Neuroscience and Neuropharmacology Research (5 papers) and Pharmacological Effects and Assays (4 papers). Lucita Jimenez is often cited by papers focused on Receptor Mechanisms and Signaling (11 papers), Neuroscience and Neuropharmacology Research (5 papers) and Pharmacological Effects and Assays (4 papers). Lucita Jimenez collaborates with scholars based in United States, Poland and Spain. Lucita Jimenez's co-authors include Irving W. Wainer, Krzysztof Jóźwiak, Lawrence Toll, Anthony Yiu‐Ho Woo, Mary J. Tanga, Ruin Moaddel, Avraham Rosenberg, Rui‐Ping Xiao, Thao Tran and Joanna Kozak and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Lucita Jimenez

15 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lucita Jimenez United States 12 281 192 114 80 60 16 451
Marina Mostardini Italy 6 309 1.1× 108 0.6× 15 0.1× 32 0.4× 51 0.8× 8 432
M. Edward Pierson United States 16 306 1.1× 429 2.2× 90 0.8× 10 0.1× 27 0.5× 23 687
M Bergmann Denmark 9 268 1.0× 243 1.3× 38 0.3× 15 0.2× 25 0.4× 17 439
Sijie Huang China 13 550 2.0× 304 1.6× 35 0.3× 17 0.2× 46 0.8× 26 738
Christopher L. German United States 8 218 0.8× 369 1.9× 62 0.5× 15 0.2× 35 0.6× 14 767
Isabelle Berque‐Bestel France 16 437 1.6× 342 1.8× 87 0.8× 16 0.2× 22 0.4× 22 681
Stephan Röver Switzerland 13 297 1.1× 206 1.1× 62 0.5× 167 2.1× 16 0.3× 15 615
Carol Smith United States 17 445 1.6× 321 1.7× 118 1.0× 26 0.3× 16 0.3× 20 796
Ling‐Wei Hsin Taiwan 16 409 1.5× 143 0.7× 78 0.7× 60 0.8× 19 0.3× 47 827
Avraham Rosenberg United States 10 209 0.7× 125 0.7× 147 1.3× 87 1.1× 51 0.8× 11 392

Countries citing papers authored by Lucita Jimenez

Since Specialization
Citations

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

Fields of papers citing papers by Lucita Jimenez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucita Jimenez

This figure shows the co-authorship network connecting the top 25 collaborators of Lucita Jimenez. A scholar is included among the top collaborators of Lucita Jimenez 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 Lucita Jimenez. Lucita Jimenez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
López, René, Nicolò Vasile, Enrique Martínez‐Campos, et al.. (2025). 3D-printed antibacterial filters obtained via digital light processing exploiting surface microwaves functionalization with natural amino acids. Applied Materials Today. 44. 102779–102779.
2.
Wnorowski, Artur, Mariola Sadowska, Rajib Paul, et al.. (2015). Activation of β2-adrenergic receptor by (R,R′)-4′-methoxy-1-naphthylfenoterol inhibits proliferation and motility of melanoma cells. Cellular Signalling. 27(5). 997–1007. 18 indexed citations
3.
Jimenez, Lucita, et al.. (2014). A Decreased Expression and Functionality of Muscarinic Cholinergic Receptor in Acute Chagas Myocarditis. World Journal of Cardiovascular Diseases. 4(6). 305–315. 1 indexed citations
4.
Woo, Anthony Yiu‐Ho, Krzysztof Jóźwiak, Lawrence Toll, et al.. (2014). Tyrosine 308 Is Necessary for Ligand-directed Gs Protein-biased Signaling of β2-Adrenoceptor. Journal of Biological Chemistry. 289(28). 19351–19363. 38 indexed citations
5.
Płazińska, Anita, Ewelina Rutkowska, Lucita Jimenez, et al.. (2013). Comparative molecular field analysis of fenoterol derivatives interacting with an agonist-stabilized form of the β2-adrenergic receptor. Bioorganic & Medicinal Chemistry. 22(1). 234–246. 16 indexed citations
6.
Paul, Rajib, Anuradha Ramamoorthy, Robert P. Wersto, et al.. (2012). Cannabinoid Receptor Activation Correlates with the Proapoptotic Action of the β2-Adrenergic Agonist (R,R′)-4-Methoxy-1-Naphthylfenoterol in HepG2 Hepatocarcinoma Cells. Journal of Pharmacology and Experimental Therapeutics. 343(1). 157–166. 16 indexed citations
7.
Moaddel, Ruin, Joanna Kozak, Krzysztof Jóźwiak, et al.. (2012). Sub-anesthetic concentrations of (R,S)-ketamine metabolites inhibit acetylcholine-evoked currents in α7 nicotinic acetylcholine receptors. European Journal of Pharmacology. 698(1-3). 228–234. 144 indexed citations
8.
Toll, Lawrence, Anita Płazińska, Krzysztof Jóźwiak, et al.. (2012). Thermodynamics and Docking of Agonists to the β2-Adrenoceptor Determined Using [3H](R,R′)-4-Methoxyfenoterol as the Marker Ligand. Molecular Pharmacology. 81(6). 846–854. 11 indexed citations
9.
Jóźwiak, Krzysztof, Anita Płazińska, Lawrence Toll, et al.. (2011). Effect of fenoterol stereochemistry on the β2 adrenergic receptor system: Ligand‐directed chiral recognition. Chirality. 23(1E). E1–6. 13 indexed citations
10.
Jóźwiak, Krzysztof, Lawrence Toll, Lucita Jimenez, et al.. (2010). The effect of stereochemistry on the thermodynamic characteristics of the binding of fenoterol stereoisomers to the β2-adrenoceptor. Biochemical Pharmacology. 79(11). 1610–1615. 24 indexed citations
11.
Toll, Lawrence, Lucita Jimenez, Nahid Waleh, et al.. (2010). β2-Adrenergic Receptor Agonists Inhibit the Proliferation of 1321N1 Astrocytoma Cells. Journal of Pharmacology and Experimental Therapeutics. 336(2). 524–532. 32 indexed citations
12.
Jóźwiak, Krzysztof, Anthony Yiu‐Ho Woo, Mary J. Tanga, et al.. (2009). Comparative molecular field analysis of fenoterol derivatives: A platform towards highly selective and effective β2-adrenergic receptor agonists. Bioorganic & Medicinal Chemistry. 18(2). 728–736. 38 indexed citations
13.
Jóźwiak, Krzysztof, Mary J. Tanga, Ilona P. Berzetei‐Gurske, et al.. (2007). Comparative Molecular Field Analysis of the Binding of the Stereoisomers of Fenoterol and Fenoterol Derivatives to the β2 Adrenergic Receptor. Journal of Medicinal Chemistry. 50(12). 2903–2915. 61 indexed citations
14.
15.
Behrsing, Holger, et al.. (2005). In vitro detection of differential and cell-specific hepatobiliary toxicity induced by geldanamycin and 17-allylaminogeldanamycin in rats. Toxicology in Vitro. 19(8). 1079–1088. 15 indexed citations
16.
Bacchi, Cyrus J., et al.. (1997). In vivo efficacies of 5'-methylthioadenosine analogs as trypanocides. Antimicrobial Agents and Chemotherapy. 41(10). 2108–2112. 13 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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