Nadia Carlesso

7.6k total citations · 1 hit paper
65 papers, 5.5k citations indexed

About

Nadia Carlesso is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Nadia Carlesso has authored 65 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 25 papers in Hematology and 20 papers in Immunology. Recurrent topics in Nadia Carlesso's work include Hematopoietic Stem Cell Transplantation (15 papers), Acute Myeloid Leukemia Research (9 papers) and Mesenchymal stem cell research (7 papers). Nadia Carlesso is often cited by papers focused on Hematopoietic Stem Cell Transplantation (15 papers), Acute Myeloid Leukemia Research (9 papers) and Mesenchymal stem cell research (7 papers). Nadia Carlesso collaborates with scholars based in United States, Italy and United Kingdom. Nadia Carlesso's co-authors include Ching‐Hsuan Tung, David T Scadden, Ralph Weissleder, Xiaowu Tang, M. Lewin, David G. Cory, David A. Frank, David T. Scadden, Angelo A. Cardoso and Jon C. Aster and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Nadia Carlesso

64 papers receiving 5.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Tat peptide-derivatized magnetic nanoparticles allow in vivo tracking and recovery of progenitor cells

2000 1.4k citations M. Lewin, Nadia Carlesso et al. Nature Biotechnology profile →

Peers

Countries citing papers authored by Nadia Carlesso

Since Specialization

Citations

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

Fields of papers citing papers by Nadia Carlesso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Carlesso

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Genomic Frequencies of Dynamic DNA Sequences and Mammalian Lifespan 2024 ·Cancer Genomics & Proteomics ·(unknown), Nadia Carlesso, Zoë A. E. Waller, Guido Marcucci, Flavia Pichiorri, Steven S. Smith	1
2	Dynamic patterns of microRNA expression during acute myeloid leukemia state-transition 2022 ·Science Advances ·David Frankhouser, Denis O’Meally, Sergio Branciamore, (unknown), Lianjun Zhang, Ying‐Chieh Chen, Man Li, Hanjun Qin, Xiwei Wu, Nadia Carlesso, Guido Marcucci, Russell C. Rockne, Ya‐Huei Kuo	7
3	Integration of single-cell transcriptomes and biological function reveals distinct behavioral patterns in bone marrow endothelium 2022 ·Nature Communications ·(unknown), (unknown), HyunJun Kang, Sergio Branciamore, Denis O’Meally, Yuxin Feng, Chia-Yi Kuan, Yingjun Luo, Michael S. Nelson, (unknown), Russell C. Rockne, Zhen Chen, Yi Zheng, Angelo A. Cardoso, Nadia Carlesso	6
4	Therapeutic targeting of the E3 ubiquitin ligase SKP2 in T-ALL 2019 ·Leukemia ·Sónia Rodríguez, (unknown), Francesco Boccalatte, Purvi Mehrotra, Mark Y. Chiang, Mary A. Yui, Lin Wang, Huajia Zhang, Amy Zollman, (unknown), Andreas Kloetgen, Joycelynne Palmer, George E. Sandusky, Mark Wunderlich, Mark H. Kaplan, James C. Mulloy, Guido Marcucci, Iannis Aifantis, Angelo A. Cardoso, Nadia Carlesso	31
5	Acute myeloid leukemia transforms the bone marrow niche into a leukemia-permissive microenvironment through exosome secretion 2017 ·Leukemia ·Bijender Kumar, Mayra García, Lihong Weng, Xiaoman Jung, Jodi Murakami, Xingbin Hu, Tinisha McDonald, Alex W. H. Lin, Ashish Kumar, David DiGiusto, Anthony S. Stein, Vinod Pullarkat, Susanta Hui, Nadia Carlesso, YH Kuo, Ravi Bhatia, Guido Marcucci, (unknown)	328
6	Bidirectional Notch Signaling and Osteocyte-Derived Factors in the Bone Marrow Microenvironment Promote Tumor Cell Proliferation and Bone Destruction in Multiple Myeloma 2016 ·Cancer Research ·Jesús Delgado‐Calle, Judith Anderson, Meloney Cregor, Masahiro Hiasa, John M. Chirgwin, Nadia Carlesso, Toshiyuki Yoneda, Khalid S. Mohammad, Lilian I. Plotkin, G. David Roodman, Teresita Bellido	158
7	Structural and functional characterization of endothelial microparticles released by cigarette smoke 2016 ·PMC ·Karina A. Serban, (unknown), Daniela N. Petrusca, Christophe Poirier, (unknown), Matthew J. Justice, Milan Patel, Irina B. Tsvetkova, Krzysztof Kamocki, Andrew M. Mikosz, Kelly S. Schweitzer, Sean Jacobson, Angelo A. Cardoso, Nadia Carlesso, Walter C. Hubbard, Katerina Kechris, Bogdan Dragnea, Evgeny Berdyshev, (unknown), Irina Petrache	5
8	Inhibition of Notch signaling promotes browning of white adipose tissue and ameliorates obesity 2014 ·Nature Medicine ·Pengpeng Bi, Tizhong Shan, Weiyi Liu, Feng Yue, Xin Yang, (unknown), Jing‐Hua Wang, Jie Li, Nadia Carlesso, Xiaoqi Liu, Shihuan Kuang	223
9	Genetic Evidence for Critical Roles of P38α Protein in Regulating Mast Cell Differentiation and Chemotaxis through Distinct Mechanisms 2012 ·Journal of Biological Chemistry ·Ping Hu, Nadia Carlesso, Mingjiang Xu, Yan Liu, Ángel R. Nebreda, Clifford M. Takemoto, Reuben Kapur	14
10	p38α Protein Negatively Regulates T Helper Type 2 Responses by Orchestrating Multiple T Cell Receptor-associated Signals 2012 ·Journal of Biological Chemistry ·Ping Hu, Ángel R. Nebreda, Yan Liu, Nadia Carlesso, Mark H. Kaplan, Reuben Kapur	13
11	Targeting of active mTOR inhibits primary leukemia T cells and synergizes with cytotoxic drugs and signaling inhibitors 2011 ·Experimental Hematology ·Ana Batista, João T. Barata, Elke Raderschall, Stephen E. Sallan, Nadia Carlesso, Lee M. Nadler, Angelo A. Cardoso	42
12	Inhibition of Notch3 signalling induces rhabdomyosarcoma cell differentiation promoting p38 phosphorylation and p21Cip1 expression and hampers tumour cell growth in vitro and in vivo 2011 ·Cell Death and Differentiation ·Lavinia Raimondi, Roberta Ciarapica, (unknown), Federica Verginelli, M. Guéguen, Claudia Martini, Luigi De Sio, Bernardo Cortese, (unknown), T. P. Dang, Nadia Carlesso, Lucio Miele, Stefano Stifani, Isabelle Limon, Franco Locatelli, Rossella Rota	44
13	Osteoblast lineage cells expressing high levels of Runx2 enhance hematopoietic progenitor cell proliferation and function 2010 ·Journal of Cellular Biochemistry ·Brahmananda R. Chitteti, Ying‐Hua Cheng, (unknown), (unknown), Nadia Carlesso, Edward F. Srour, Melissa A. Kacena	55
14	Notch pathway is regulated by leukemia microenvironmental cues and positively modulates IL-7 signaling 2007 ·Molecular Cancer Therapeutics ·Ana Batista, (unknown), Nadia Carlesso, Angelo A. Cardoso	0
15	Notch‐1 regulates cell death independently of differentiation in murine erythroleukemia cells through multiple apoptosis and cell cycle pathways 2003 ·Journal of Cellular Physiology ·(unknown), Haixi Miao, Nadia Carlesso, L L Shelly, Andrei Zlobin, (unknown), Jian‐Zhong Qin, Brian J. Nickoloff, Lucio Miele	49
16	Alternative Splicing Determines the Function of CYP4F3 by Switching Substrate Specificity 2001 ·Journal of Biological Chemistry ·Peter Christmas, Jeffrey P. Jones, Christopher Patten, Dan A. Rock, (unknown), (unknown), (unknown), Nadia Carlesso, David T. Scadden, Allan E. Rettie, Roy J. Soberman	117
17	Tat peptide-derivatized magnetic nanoparticles allow in vivo tracking and recovery of progenitor cells breakdown → 2000 ·Nature Biotechnology ·M. Lewin, Nadia Carlesso, Ching‐Hsuan Tung, Xiaowu Tang, David G. Cory, David T Scadden, Ralph Weissleder	1411
18	Suppression of in vitro maintenance of non-promyelocytic myeloid leukemia clonogenic cells by all-trans retinoic acid: Modulating effects of dihydroxylated vitamin D3, α interferon and ‘stem cell factor’ 1997 ·Leukemia Research ·Dario Ferrero, Nadia Carlesso, (unknown), (unknown), Patrizia Pregno, Eugenio Gallo, Alessandro Pileri	8
19	Tyrosyl phosphorylation and DNA binding activity of signal transducers and activators of transcription (STAT) proteins in hematopoietic cell lines transformed by Bcr/Abl. 1996 ·The Journal of Experimental Medicine ·Nadia Carlesso, David A. Frank, (unknown)	418
20	Generation of anti‐tumour activity by OKT3‐stimulation in multiple myeloma: in vitro inhibition of autologous haemopoiesis 1994 ·British Journal of Haematology ·(unknown), Alberto Bianchi, (unknown), Nadia Carlesso, Silvia Peola, Benedetto Bruno, (unknown), (unknown), Eugenio Gallo, Mario Boccadoro, Alessandro Pileri, Massimo Massaia	6

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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