Anna Caselli

404 total citations
8 papers, 314 citations indexed

About

Anna Caselli is a scholar working on Genetics, Hematology and Oncology. According to data from OpenAlex, Anna Caselli has authored 8 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Hematology and 3 papers in Oncology. Recurrent topics in Anna Caselli's work include Mesenchymal stem cell research (6 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Multiple Myeloma Research and Treatments (2 papers). Anna Caselli is often cited by papers focused on Mesenchymal stem cell research (6 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Multiple Myeloma Research and Treatments (2 papers). Anna Caselli collaborates with scholars based in Italy, United States and Czechia. Anna Caselli's co-authors include Massimo Dominici, Paolo Paolucci, Ted J. Hofmann, Edwin M. Horwitz, Timothy S. Olson, Satoru Otsuru, Richard T. Williams, Giulia Grisendi, Jorge S. Burns and Alba Murgia and has published in prestigious journals such as Blood, PLoS ONE and Stem Cells.

In The Last Decade

Anna Caselli

8 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Caselli Italy	6	152	138	73	72	68	8	314
Carmen Azqueta Spain	12	108 0.7×	156 1.1×	120 1.6×	64 0.9×	59 0.9×	27	370
Andrea Tiemi Kondo Brazil	9	141 0.9×	110 0.8×	62 0.8×	41 0.6×	57 0.8×	32	291
Olivier Giet Belgium	9	200 1.3×	129 0.9×	90 1.2×	94 1.3×	132 1.9×	18	401
Richard Veyrat‐Masson France	9	190 1.3×	69 0.5×	83 1.1×	67 0.9×	67 1.0×	20	310
Zujun Jiang China	11	192 1.3×	229 1.7×	81 1.1×	62 0.9×	59 0.9×	20	386
Yunze Cui Japan	13	173 1.1×	162 1.2×	93 1.3×	113 1.6×	62 0.9×	27	394
Jack Hayes United States	6	234 1.5×	140 1.0×	75 1.0×	48 0.7×	92 1.4×	10	336
Qianshi Liu China	6	169 1.1×	162 1.2×	118 1.6×	87 1.2×	55 0.8×	12	389
Domenico Madeo Italy	11	249 1.6×	153 1.1×	96 1.3×	79 1.1×	74 1.1×	21	417
Takashi Esumi Japan	5	225 1.5×	195 1.4×	123 1.7×	109 1.5×	77 1.1×	6	435

Countries citing papers authored by Anna Caselli

Since Specialization

Citations

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

Fields of papers citing papers by Anna Caselli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Caselli

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

All Works

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8 of 8 papers shown

Murgia, Alba, Elena Veronesi, Olivia Candini, et al.. (2016). Potency Biomarker Signature Genes from Multiparametric Osteogenesis Assays: Will cGMP Human Bone Marrow Mesenchymal Stromal Cells Make Bone?. PLoS ONE. 11(10). e0163629–e0163629. 23 indexed citations

Ciavarella, Sabino, Anna Caselli, Annalisa Savonarola, et al.. (2015). A Peculiar Molecular Profile of Umbilical Cord-Mesenchymal Stromal Cells Drives Their Inhibitory Effects on Multiple Myeloma Cell Growth and Tumor Progression. Stem Cells and Development. 24(12). 1457–1470. 21 indexed citations

Veronesi, Elena, Alba Murgia, Anna Caselli, et al.. (2013). Transportation Conditions for Prompt Use of Ex Vivo Expanded and Freshly Harvested Clinical-Grade Bone Marrow Mesenchymal Stromal/Stem Cells for Bone Regeneration. Tissue Engineering Part C Methods. 20(3). 239–251. 35 indexed citations

Ciavarella, Sabino, et al.. (2013). Cytotherapies in multiple myeloma: a complementary approach to current treatments?. Expert Opinion on Biological Therapy. 13(sup1). S23–S34. 3 indexed citations

Olson, Timothy S., Anna Caselli, Satoru Otsuru, et al.. (2013). Megakaryocytes promote murine osteoblastic HSC niche expansion and stem cell engraftment after radioablative conditioning. Blood. 121(26). 5238–5249. 119 indexed citations

Caselli, Anna, Timothy S. Olson, Satoru Otsuru, et al.. (2013). IGF-1-mediated osteoblastic niche expansion enhances long-term hematopoietic stem cell engraftment after murine bone marrow transplantation. Stem Cells. 31(10). 2193–2204. 44 indexed citations

Rossignoli, Filippo, Anna Caselli, Giulia Grisendi, et al.. (2013). Isolation, Characterization, and Transduction of Endometrial Decidual Tissue Multipotent Mesenchymal Stromal/Stem Cells from Menstrual Blood. BioMed Research International. 2013. 1–14. 68 indexed citations

Caselli, Anna, Timothy S. Olson, Satoru Otsuru, et al.. (2010). IGF1-Mediated Osteoblastic Niche Expansion After Marrow Ablation Enhances Long-Term Hematopoietic Stem Cell Engraftment and Hematopoietic Reconstitution After Bone Marrow Transplantation. Blood. 116(21). 557–557. 1 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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