Claudio A. Mosse

1.9k total citations
38 papers, 1.1k citations indexed

About

Claudio A. Mosse is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Claudio A. Mosse has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Hematology, 13 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Claudio A. Mosse's work include Acute Myeloid Leukemia Research (13 papers), Lymphoma Diagnosis and Treatment (5 papers) and Viral-associated cancers and disorders (4 papers). Claudio A. Mosse is often cited by papers focused on Acute Myeloid Leukemia Research (13 papers), Lymphoma Diagnosis and Treatment (5 papers) and Viral-associated cancers and disorders (4 papers). Claudio A. Mosse collaborates with scholars based in United States and France. Claudio A. Mosse's co-authors include Patrick Fadden, Timothy Haystead, Yang Li, Yuhui Huang, Mikhail M. Dikov, Sergey V. Novitskiy, David P. Carbone, Xiaolan Chen, A P Somlyo and K Iizuka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Claudio A. Mosse

38 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudio A. Mosse United States 16 513 293 248 178 150 38 1.1k
Julia Calzada‐Wack Germany 22 665 1.3× 220 0.8× 233 0.9× 177 1.0× 87 0.6× 40 1.2k
Stephen J. Blakemore United States 17 969 1.9× 137 0.5× 339 1.4× 163 0.9× 184 1.2× 47 1.4k
Pierre Ronco France 18 589 1.1× 157 0.5× 132 0.5× 161 0.9× 87 0.6× 35 1.1k
Dorina Gui United States 23 862 1.7× 211 0.7× 345 1.4× 166 0.9× 236 1.6× 52 1.7k
Benedetta Peruzzi Italy 18 612 1.2× 173 0.6× 233 0.9× 151 0.8× 122 0.8× 38 1.2k
Michinari Hirata Japan 15 756 1.5× 440 1.5× 655 2.6× 106 0.6× 82 0.5× 26 1.4k
Edgar Jost Germany 23 1.0k 2.0× 314 1.1× 392 1.6× 147 0.8× 551 3.7× 100 1.8k
Muh‐Hwa Yang Taiwan 16 465 0.9× 186 0.6× 456 1.8× 161 0.9× 44 0.3× 56 1.3k
E. Galmozzi Italy 21 547 1.1× 209 0.7× 547 2.2× 72 0.4× 94 0.6× 45 2.5k
Huai‐Chia Chuang Taiwan 20 571 1.1× 379 1.3× 197 0.8× 42 0.2× 149 1.0× 38 1.1k

Countries citing papers authored by Claudio A. Mosse

Since Specialization
Citations

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

Fields of papers citing papers by Claudio A. Mosse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claudio A. Mosse. 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 Claudio A. Mosse. The network helps show where Claudio A. Mosse may publish in the future.

Co-authorship network of co-authors of Claudio A. Mosse

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio A. Mosse. A scholar is included among the top collaborators of Claudio A. Mosse 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 Claudio A. Mosse. Claudio A. Mosse 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.
Wang, Dahai, Lin Miao, Begüm Erdoğan, et al.. (2021). miR-378-3p Knockdown Recapitulates Many of the Features of Myelodysplastic Syndromes. American Journal Of Pathology. 191(11). 2009–2022. 1 indexed citations
2.
Engelhardt, Brian G., Evonne McArthur, Salyka Sengsayadeth, et al.. (2020). Minimal residual disease negativity and lenalidomide maintenance therapy are associated with superior survival outcomes in multiple myeloma. Bone Marrow Transplantation. 55(6). 1137–1146. 10 indexed citations
3.
Taub, Jeffrey W., Todd A. Alonzo, Alan S. Gamis, et al.. (2019). Pathologic Features of Down Syndrome Myelodysplastic Syndrome and Acute Myeloid Leukemia: A Report From the Children's Oncology Group Protocol AAML0431. Archives of Pathology & Laboratory Medicine. 144(4). 466–472. 9 indexed citations
4.
Strickland, Stephen A., Aaron C. Shaver, Michael Byrne, et al.. (2018). Genotypic and clinical heterogeneity within NCCN favorable-risk acute myeloid leukemia. Leukemia Research. 65. 67–73. 10 indexed citations
5.
Salazar, Katrina L. & Claudio A. Mosse. (2015). Normal Karyotype in a Case of Acute Myeloid Leukemia With Monocytic Differentiation and Hemophagocytosis by Leukemic Blasts. Laboratory Medicine. 46(1). 64–68. 1 indexed citations
6.
Shaver, Aaron C., Bruce Greig, Claudio A. Mosse, & Adam C. Seegmiller. (2015). B-ALL Minimal Residual Disease Flow Cytometry. American Journal of Clinical Pathology. 143(5). 716–724. 20 indexed citations
7.
8.
Lozanski, Gerard, Michael L. Pennell, Arwa Shana’ah, et al.. (2013). Inter-reader variability in follicular lymphoma grading: Conventional and digital reading. Journal of Pathology Informatics. 4(1). 30–30. 23 indexed citations
9.
Erdoğan, Begüm, Amma Bosompem, Dunfa Peng, et al.. (2013). Methylation of promoters of microRNAs and their host genes in myelodysplastic syndromes. Leukemia & lymphoma. 54(12). 2720–2727. 11 indexed citations
10.
Jackson, Christopher M., Dallas B. Flies, Claudio A. Mosse, et al.. (2012). Strain‐specific induction of experimental autoimmune prostatitis (EAP) in mice. The Prostate. 73(6). 651–656. 14 indexed citations
11.
Rosado, Flavia, Yi‐Wei Tang, Robert P. Hasserjian, et al.. (2012). Kikuchi-Fujimoto lymphadenitis: role of parvovirus B-19, Epstein-Barr virus, human herpesvirus 6, and human herpesvirus 8. Human Pathology. 44(2). 255–259. 43 indexed citations
12.
Thu, Yee Mon, Yan Ru Su, Jinming Yang, et al.. (2011). NF-κB inducing kinase (NIK) modulates melanoma tumorigenesis by regulating expression of pro-survival factors through the β-catenin pathway. Oncogene. 31(20). 2580–2592. 40 indexed citations
13.
Eckrich, Michael J., Haydar Frangoul, Jennifer A. Knight, Claudio A. Mosse, & Jennifer Domm. (2010). A case of pediatric PTLD following autologous stem cell transplantation and review of the literature. Pediatric Transplantation. 16(1). E15–8. 4 indexed citations
14.
Greer, John P. & Claudio A. Mosse. (2009). Natural killer-cell neoplasms. Current Hematologic Malignancy Reports. 4(4). 245–252. 17 indexed citations
15.
Mosse, Claudio A., et al.. (2009). A B-Cell Lymphoma Diagnosed in “Floater” Tissue: Implications of the Diagnosis and Resolution of a Laboratory Error. The American Journal of the Medical Sciences. 338(3). 248–251. 4 indexed citations
16.
Austin, Eric D., Michael T. Rock, Claudio A. Mosse, et al.. (2009). T lymphocyte subset abnormalities in the blood and lung in pulmonary arterial hypertension. Respiratory Medicine. 104(3). 454–462. 79 indexed citations
17.
Santoro, Samuel A., Claudio A. Mosse, & Pampee P. Young. (2007). The MD/PhD Pathway to a Career in Laboratory Medicine. Clinics in Laboratory Medicine. 27(2). 425–434. 8 indexed citations
18.
19.
Mosse, Claudio A., Cristina Magi‐Galluzzi, Toyonori Tsuzuki, & Jonathan I. Epstein. (2004). The Prognostic Significance of Tertiary Gleason Pattern 5 in Radical Prostatectomy Specimens. The American Journal of Surgical Pathology. 28(3). 394–398. 69 indexed citations
20.
Mosse, Claudio A., Wei-Ting Hsu, & Víctor H. Engelhard. (2001). Tyrosinase Degradation via Two Pathways during Reverse Translocation to the Cytosol. Biochemical and Biophysical Research Communications. 285(2). 313–319. 19 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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