Emanuela Lovati

613 total citations
19 papers, 468 citations indexed

About

Emanuela Lovati is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Emanuela Lovati has authored 19 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Surgery. Recurrent topics in Emanuela Lovati's work include Hormonal Regulation and Hypertension (4 papers), Nausea and vomiting management (3 papers) and RNA modifications and cancer (3 papers). Emanuela Lovati is often cited by papers focused on Hormonal Regulation and Hypertension (4 papers), Nausea and vomiting management (3 papers) and RNA modifications and cancer (3 papers). Emanuela Lovati collaborates with scholars based in Switzerland, United States and Japan. Emanuela Lovati's co-authors include Felix J. Frey, Paolo Ferrari, Brigitte M. Frey, Alain Richard, Ulrike Schorr, Arya M. Sharma, K Jostarndt, Bernhard Dick, Claudio Pietra and Claudio Giuliano and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.

In The Last Decade

Emanuela Lovati

19 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emanuela Lovati Switzerland 10 258 133 111 97 62 19 468
Mitsuhiro Nishimoto Japan 16 216 0.8× 282 2.1× 133 1.2× 95 1.0× 31 0.5× 28 649
Kumiko Kaifu Japan 12 194 0.8× 88 0.7× 118 1.1× 86 0.9× 29 0.5× 15 426
Domenica Schiavone Italy 12 316 1.2× 140 1.1× 225 2.0× 278 2.9× 37 0.6× 28 712
Natalia Makhanova United States 13 298 1.2× 260 2.0× 192 1.7× 93 1.0× 81 1.3× 15 632
Smail Messaoudi France 12 339 1.3× 182 1.4× 155 1.4× 204 2.1× 66 1.1× 12 519
Grażyna Bednarek-Tupikowska Poland 15 275 1.1× 118 0.9× 123 1.1× 107 1.1× 22 0.4× 72 771
Faizah Bhatti United States 9 154 0.6× 119 0.9× 51 0.5× 34 0.4× 33 0.5× 17 539
Takao Saruta Japan 13 166 0.6× 168 1.3× 176 1.6× 55 0.6× 19 0.3× 29 470
Seiji Ohashi Japan 4 203 0.8× 121 0.9× 44 0.4× 38 0.4× 25 0.4× 7 615
Mariko Banno Japan 11 137 0.5× 188 1.4× 73 0.7× 35 0.4× 23 0.4× 14 377

Countries citing papers authored by Emanuela Lovati

Since Specialization
Citations

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

Fields of papers citing papers by Emanuela Lovati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuela Lovati

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

All Works

19 of 19 papers shown
1.
Odintsov, Igor, Masanori Kato, Inna Khodos, et al.. (2023). Abstract B157: Preclinical evaluation of the blood-brain barrier permeability and intracranial efficacy of the next-generation RET inhibitor Vepafestinib. Molecular Cancer Therapeutics. 22(12_Supplement). B157–B157. 1 indexed citations
2.
Odintsov, Igor, Kota Ishizawa, Isao Miyazaki, et al.. (2022). Comparison of TAS0953/HM06 and selpercatinib in RET fusion-driven preclinical disease models of intracranial metastases.. Journal of Clinical Oncology. 40(16_suppl). 2024–2024. 8 indexed citations
3.
Mensah, Afua A., Filippo Spriano, Giulio Sartori, et al.. (2021). Study of the antilymphoma activity of pracinostat reveals different sensitivities of DLBCL cells to HDAC inhibitors. Blood Advances. 5(10). 2467–2480. 12 indexed citations
4.
Odintsov, Igor, Kota Ishizawa, Lukas Delasos, et al.. (2021). Abstract P233: TAS0953/HM06 is effective in preclinical models of diverse tumor types driven by RET alterations. Molecular Cancer Therapeutics. 20(12_Supplement). P233–P233. 5 indexed citations
5.
Tu, Longlong, Zengbing Lu, Man P. Ngan, et al.. (2019). The brain‐penetrating, orally bioavailable, ghrelin receptor agonist HM01 ameliorates motion‐induced emesis in Suncus murinus (house musk shrew). British Journal of Pharmacology. 177(7). 1635–1650. 9 indexed citations
7.
Fujita, Hidenori, Isao Miyazaki, Masanori Kato, et al.. (2018). Abstract 4784: TAS0286/HM05, a novel highly selective RET inhibitor, prominently inhibits various RET defective tumor growth. Cancer Research. 78(13_Supplement). 4784–4784. 1 indexed citations
8.
9.
Rudd, John A., Man P. Ngan, Zengbing Lu, et al.. (2016). Profile of Antiemetic Activity of Netupitant Alone or in Combination with Palonosetron and Dexamethasone in Ferrets and Suncus murinus (House Musk Shrew). Frontiers in Pharmacology. 7. 263–263. 17 indexed citations
10.
Ruzza, Chiara, Anna Rizzi, Davide Malfacini, et al.. (2015). In vitro and in vivo pharmacological characterization of Pronetupitant, a prodrug of the neurokinin 1 receptor antagonist Netupitant. Peptides. 69. 26–32. 7 indexed citations
11.
Zhang, Xiulin, Claudio Pietra, Emanuela Lovati, & William C. de Groat. (2012). Activation of Neurokinin-1 Receptors Increases the Excitability of Guinea Pig Dorsal Root Ganglion Cells. Journal of Pharmacology and Experimental Therapeutics. 343(1). 44–52. 14 indexed citations
13.
Palea, Stéfano, et al.. (2010). Comparison of the effects of netupitant and tolterodine on overactive bladder induced by intravesical acetic acid infusion in anesthetized female guinea-pigs.. Neurourology and Urodynamics. 2 indexed citations
14.
Marzola, Pasquina, Simona Ramponi, Elena Nicolato, et al.. (2005). Effect of Tamoxifen in an Experimental Model of Breast Tumor Studied by Dynamic Contrast-Enhanced Magnetic Resonance Imaging and Different Contrast Agents. Investigative Radiology. 40(7). 421–429. 21 indexed citations
15.
Lovati, Emanuela, Alain Richard, Brigitte M. Frey, Felix J. Frey, & Paolo Ferrari. (2001). Genetic polymorphisms of the renin-angiotensin-aldosterone system in end-stage renal disease. Kidney International. 60(1). 46–54. 101 indexed citations
16.
Ferrari, Paolo, Emanuela Lovati, & Felix J. Frey. (2000). The role of the 11β-hydroxysteroid dehydrogenase type 2 in human hypertension. Journal of Hypertension. 18(3). 241–248. 63 indexed citations
17.
Lovati, Emanuela, Paolo Ferrari, Bernhard Dick, et al.. (1999). Molecular Basis of Human Salt Sensitivity: The Role of the 11β-Hydroxysteroid Dehydrogenase Type 2*. The Journal of Clinical Endocrinology & Metabolism. 84(10). 3745–3749. 118 indexed citations
18.
Lovati, Emanuela. (1999). Molecular Basis of Human Salt Sensitivity: The Role of the 11 -Hydroxysteroid Dehydrogenase Type 2. The Journal of Clinical Endocrinology & Metabolism. 84(10). 3745–3749. 45 indexed citations
19.
Lovati, Emanuela, et al.. (1997). Cortisol increases transfection efficiency of cells. FEBS Letters. 419(1). 103–106. 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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