Rose Mantel

1.9k total citations
13 papers, 327 citations indexed

About

Rose Mantel is a scholar working on Genetics, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Rose Mantel has authored 13 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 6 papers in Immunology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Rose Mantel's work include Chronic Lymphocytic Leukemia Research (13 papers), Immunodeficiency and Autoimmune Disorders (5 papers) and Lymphoma Diagnosis and Treatment (4 papers). Rose Mantel is often cited by papers focused on Chronic Lymphocytic Leukemia Research (13 papers), Immunodeficiency and Autoimmune Disorders (5 papers) and Lymphoma Diagnosis and Treatment (4 papers). Rose Mantel collaborates with scholars based in United States, Poland and Denmark. Rose Mantel's co-authors include Jennifer A. Woyach, John C. Byrd, Amy J. Johnson, Lisa L. Smith, Daphne Guinn, Rosa Lapalombella, Sean D. Reiff, Bonnie K. Harrington, Zachary A. Hing and Amy M. Lehman and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Clinical Cancer Research.

In The Last Decade

Rose Mantel

13 papers receiving 324 citations

Peers

Rose Mantel
Laurie Musial United States
Neil Came Australia
Binsah George United States
John Hanna United States
Adam Albitar United States
Giorgia Chiodin United Kingdom
Josie Montegaard United States
Rebeca Cuello Spain
A Dattilo Italy
Iryna Kryachok Ukraine
Laurie Musial United States
Rose Mantel
Citations per year, relative to Rose Mantel Rose Mantel (= 1×) peers Laurie Musial

Countries citing papers authored by Rose Mantel

Since Specialization
Citations

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

Fields of papers citing papers by Rose Mantel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rose Mantel

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

All Works

13 of 13 papers shown
1.
Lucas, Fabienne, Kerry A. Rogers, Bonnie K. Harrington, et al.. (2019). Eμ-TCL1xMyc: A Novel Mouse Model for Concurrent CLL and B-Cell Lymphoma. Clinical Cancer Research. 25(20). 6260–6273. 18 indexed citations
2.
Lehman, Amy M., Sean D. Reiff, Rose Mantel, et al.. (2019). The Protein Kinase C Inhibitor MS-553 for the Treatment of Chronic Lymphocytic Leukemia. Blood. 134(Supplement_1). 2077–2077. 2 indexed citations
3.
Reiff, Sean D., Daphne Guinn, Amy Lehman, et al.. (2018). Noncovalent inhibition of C481S Bruton tyrosine kinase by GDC-0853: a new treatment strategy for ibrutinib-resistant CLL. Blood. 132(10). 1039–1049. 51 indexed citations
4.
Agrawal, Anant A., Michael Seiler, Lindsey T. Brinton, et al.. (2017). Novel SF3B1 in-frame deletions result in aberrant RNA splicing in CLL patients. Blood Advances. 1(15). 995–1000. 8 indexed citations
5.
Herman, Sarah E. M., Arnau Montraveta, Carsten Utoft Niemann, et al.. (2016). The Bruton Tyrosine Kinase (BTK) Inhibitor Acalabrutinib Demonstrates Potent On-Target Effects and Efficacy in Two Mouse Models of Chronic Lymphocytic Leukemia. Clinical Cancer Research. 23(11). 2831–2841. 121 indexed citations
6.
Bottoni, Arianna, Lara Rizzotto, Chaomei Liu, et al.. (2016). Targeting BTK through microRNA in chronic lymphocytic leukemia. Blood. 128(26). 3101–3112. 22 indexed citations
7.
8.
Reiff, Sean D., Daphne Guinn, Rose Mantel, et al.. (2016). Evaluation of the novel Bruton′s tyrosine kinase (BTK) inhibitor GDC-0853 in chronic lymphocytic leukemia (CLL) with wild type or C481S mutated BTK.. Journal of Clinical Oncology. 34(15_suppl). 7530–7530. 7 indexed citations
9.
Rogers, Kerry A., Amy M. Lehman, Carolyn Cheney, et al.. (2016). Inhibitors of Bruton's Tyrosine Kinase Reduce Anti-Red Blood Cell Response in a Murine Model of Autoimmune Hemolytic Anemia. Blood. 128(22). 1259–1259. 5 indexed citations
10.
11.
Hing, Zachary A., Rose Mantel, Kyle A. Beckwith, et al.. (2015). Selinexor is effective in acquired resistance to ibrutinib and synergizes with ibrutinib in chronic lymphocytic leukemia. Blood. 125(20). 3128–3132. 72 indexed citations
12.
Bottoni, Arianna, Rose Mantel, Dalia El‐Gamal, et al.. (2015). Targeting BTK By a microRNA Mechanism in Chronic Lymphocytic Leukemia. Blood. 126(23). 1232–1232. 1 indexed citations
13.
Rogers, Kerry A., Dalia El‐Gamal, Rose Mantel, et al.. (2015). The Eµ-Myc/TCL1 Transgenic Mouse As a New Aggressive B-Cell Malignancy Model Suitable for Preclinical Therapeutics Testing. Blood. 126(23). 2752–2752. 3 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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