Maria Palmisano

2.1k total citations
85 papers, 1.5k citations indexed

About

Maria Palmisano is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Maria Palmisano has authored 85 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Hematology, 31 papers in Molecular Biology and 26 papers in Oncology. Recurrent topics in Maria Palmisano's work include Multiple Myeloma Research and Treatments (26 papers), Cancer Treatment and Pharmacology (12 papers) and Protein Degradation and Inhibitors (12 papers). Maria Palmisano is often cited by papers focused on Multiple Myeloma Research and Treatments (26 papers), Cancer Treatment and Pharmacology (12 papers) and Protein Degradation and Inhibitors (12 papers). Maria Palmisano collaborates with scholars based in United States, Switzerland and Germany. Maria Palmisano's co-authors include Simon Zhou, Nianhang Chen, Liangang Liu, Rajesh Chopra, Duxin Sun, Xiaomin Wang, Yan Li, K. OGASAWARA, Ying Ye and Yan Li and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Maria Palmisano

85 papers receiving 1.4k citations

Peers

Maria Palmisano
Sukyung Woo United States
Jiang Liu United States
Debra H. Josephs United Kingdom
William Westlin United States
Min Luo China
David Semela Switzerland
Maria Palmisano
Citations per year, relative to Maria Palmisano Maria Palmisano (= 1×) peers Roberta Frapolli

Countries citing papers authored by Maria Palmisano

Since Specialization
Citations

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

Fields of papers citing papers by Maria Palmisano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Palmisano

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Palmisano. A scholar is included among the top collaborators of Maria Palmisano 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 Maria Palmisano. Maria Palmisano 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.
Chang, Peter, Vidya Perera, David H. Salinger, et al.. (2024). Characterization of mavacamten pharmacokinetics in patients with hypertrophic cardiomyopathy to inform dose titration. CPT Pharmacometrics & Systems Pharmacology. 13(9). 1462–1475. 2 indexed citations
2.
Perera, Vidya, et al.. (2023). Effects of Omeprazole and Verapamil on the Pharmacokinetics, Safety, and Tolerability of Mavacamten: Two Drug–Drug Interaction Studies in Healthy Participants. Clinical Pharmacology in Drug Development. 12(12). 1241–1251. 5 indexed citations
3.
Horan, Gerald, Ying Ye, Mary Beth Adams, et al.. (2023). Safety, Pharmacokinetics, and Antifibrotic Activity of CC‐90001 (BMS‐986360), a c‐Jun N‐Terminal Kinase Inhibitor, in Pulmonary Fibrosis. Clinical Pharmacology in Drug Development. 12(8). 779–789. 4 indexed citations
4.
5.
Luan, Xin, Hebao Yuan, Yudong Song, et al.. (2021). Reappraisal of anticancer nanomedicine design criteria in three types of preclinical cancer models for better clinical translation. Biomaterials. 275. 120910–120910. 53 indexed citations
6.
OGASAWARA, K., Mark Thomas, Liangang Liu, et al.. (2021). Effects of strong and moderate CYP3A4 inducers on the pharmacokinetics of fedratinib in healthy adult participants. Cancer Chemotherapy and Pharmacology. 88(3). 369–377. 8 indexed citations
7.
OGASAWARA, K., Mark Thomas, Michael A. Thomas, et al.. (2021). Impact of fedratinib on the pharmacokinetics of transporter probe substrates using a cocktail approach. Cancer Chemotherapy and Pharmacology. 88(6). 941–952. 13 indexed citations
8.
Li, Yijia, et al.. (2020). Pharmacokinetic Disposition Difference Between Cyclosporine and Voclosporin Drives Their Distinct Efficacy and Safety Profiles in Clinical Studies. SHILAP Revista de lepidopterología. 11 indexed citations
9.
OGASAWARA, K., et al.. (2020). Excretion balance and pharmacokinetics following a single oral dose of [14C]-fedratinib in healthy subjects. Cancer Chemotherapy and Pharmacology. 86(2). 307–314. 11 indexed citations
10.
OGASAWARA, K., et al.. (2020). Effects of repeated oral doses of ketoconazole on a sequential ascending single oral dose of fedratinib in healthy subjects. Cancer Chemotherapy and Pharmacology. 85(5). 899–906. 16 indexed citations
11.
OGASAWARA, K., Bradley Vince, Christine Xu, et al.. (2020). A phase I study of the effect of repeated oral doses of pantoprazole on the pharmacokinetics of a single dose of fedratinib in healthy male subjects. Cancer Chemotherapy and Pharmacology. 85(5). 995–1001. 8 indexed citations
12.
Palmisano, Maria, et al.. (2020). <p>Pharmacokinetic Disposition Difference Between Cyclosporine and Voclosporin Drives Their Distinct Efficacy and Safety Profiles in Clinical Studies</p>. Clinical Pharmacology Advances and Applications. Volume 12. 83–96. 18 indexed citations
13.
OGASAWARA, K., Simon Zhou, Gopal Krishna, Maria Palmisano, & Yan Li. (2019). Population pharmacokinetics of fedratinib in patients with myelofibrosis, polycythemia vera, and essential thrombocythemia. Cancer Chemotherapy and Pharmacology. 84(4). 891–898. 25 indexed citations
14.
Li, Yan, Xiaomin Wang, Edward O’Mara, et al.. (2017). Population pharmacokinetics of pomalidomide in patients with relapsed or refractory multiple myeloma with various degrees of impaired renal function. Clinical Pharmacology Advances and Applications. Volume 9. 133–145. 10 indexed citations
15.
Li, Yan, et al.. (2016). Exposure-response analysis to assess concentration&ndash;QTc relationship of CC-122. Clinical Pharmacology Advances and Applications. Volume 8. 117–125. 5 indexed citations
16.
Weiß, Daniel, Robert Knight, Simon Zhou, Maria Palmisano, & Nianhang Chen. (2015). Evaluation of Pharmacokinetic and Pharmacodynamic Interactions when Lenalidomide is Co-administered with Warfarin in a Randomized Clinical Trial Setting. Clinical Drug Investigation. 35(7). 455–461. 6 indexed citations
17.
Li, Yan, Simon Zhou, Matthew Hoffmann, Gondi Kumar, & Maria Palmisano. (2014). Modeling and Simulation to Probe the Pharmacokinetic Disposition of Pomalidomide R- and S-Enantiomers. Journal of Pharmacology and Experimental Therapeutics. 350(2). 265–272. 11 indexed citations
18.
Hickman, Janet G., et al.. (2001). Human Dermal Safety Studies with Eflornithine HCl 13.9% Cream (Vaniqa), a Novel Treatment for Excessive Facial Hair. Current Medical Research and Opinion. 16(4). 235–244. 35 indexed citations
19.
Malhotra, Bimal, et al.. (2001). Percutaneous Absorption and Pharmacokinetics of Eflornithine HCl 13.9% Cream in Women with Unwanted Facial Hair. The Journal of Clinical Pharmacology. 41(9). 972–978. 27 indexed citations
20.
Lecaillon, J. B., et al.. (1999). Pharmacokinetics and tolerability of formoterol in healthy volunteers after a single high dose of Foradil dry powder Inhalation via aerolizer TM. European Journal of Clinical Pharmacology. 55(2). 131–138. 75 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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