Giuseppina Caligiuri

1.3k total citations · 1 hit paper
5 papers, 322 citations indexed

About

Giuseppina Caligiuri is a scholar working on Molecular Biology, Oncology and Biotechnology. According to data from OpenAlex, Giuseppina Caligiuri has authored 5 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Biotechnology. Recurrent topics in Giuseppina Caligiuri's work include RNA Research and Splicing (3 papers), RNA modifications and cancer (2 papers) and RNA regulation and disease (2 papers). Giuseppina Caligiuri is often cited by papers focused on RNA Research and Splicing (3 papers), RNA modifications and cancer (2 papers) and RNA regulation and disease (2 papers). Giuseppina Caligiuri collaborates with scholars based in United Kingdom, Italy and Australia. Giuseppina Caligiuri's co-authors include David A. Tuveson, Elena Botta, Gajja S. Salomons, Jan H.J. Hoeijmakers, Desirée E.C. Smith, Anja Raams, Peter J. van der Spek, Tomoo Ogi, Sigrid Swagemakers and Donata Orioli and has published in prestigious journals such as Cancer Cell, Cancer Research and The American Journal of Human Genetics.

In The Last Decade

Giuseppina Caligiuri

5 papers receiving 320 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.

Activated fibroblasts in cancer: Perspectives and challenges

2023 210 citations Giuseppina Caligiuri, David A. Tuveson Cancer Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Giuseppina Caligiuri United Kingdom	4	192	124	69	56	41	5	322
Nobutoshi Esaki Japan	7	141 0.7×	173 1.4×	65 0.9×	74 1.3×	33 0.8×	12	300
Katie Thies United States	10	141 0.7×	120 1.0×	58 0.8×	73 1.3×	35 0.9×	13	248
Yuliya Klymenko United States	9	156 0.8×	141 1.1×	60 0.9×	84 1.5×	64 1.6×	15	359
Juan A. Cámara United States	8	249 1.3×	116 0.9×	64 0.9×	33 0.6×	45 1.1×	19	376
Karina E. Gomez United States	7	156 0.8×	120 1.0×	66 1.0×	79 1.4×	24 0.6×	9	268
Tugs‐Saikhan Chimed United States	8	184 1.0×	143 1.2×	79 1.1×	85 1.5×	24 0.6×	9	304
Xinyuan Zhao China	8	122 0.6×	97 0.8×	59 0.9×	67 1.2×	41 1.0×	23	310
Henrik Schinke Germany	4	162 0.8×	141 1.1×	46 0.7×	75 1.3×	24 0.6×	6	299
Shaoqiang Cheng China	7	174 0.9×	118 1.0×	83 1.2×	115 2.1×	22 0.5×	11	320
Sarah T. Boyle Australia	11	141 0.7×	182 1.5×	107 1.6×	51 0.9×	82 2.0×	16	334

Countries citing papers authored by Giuseppina Caligiuri

Since Specialization

Citations

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

Fields of papers citing papers by Giuseppina Caligiuri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppina Caligiuri

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Caligiuri, Giuseppina & David A. Tuveson. (2023). Activated fibroblasts in cancer: Perspectives and challenges. Cancer Cell. 41(3). 434–449. 210 indexed citations breakdown →

2.

Caligiuri, Giuseppina, Elise T. Courtois, William F. Flynn, et al.. (2022). Abstract 1563: Spatial transcriptomics reveals heterogeneity and pathway dependencies of cancer associated fibroblasts in pancreatic ductal adenocarcinoma. Cancer Research. 82(12_Supplement). 1563–1563. 1 indexed citations

3.

Botta, Elena, Arjan F. Theil, Anja Raams, et al.. (2021). Protein instability associated with AARS1 and MARS1 mutations causes trichothiodystrophy. Human Molecular Genetics. 30(18). 1711–1720. 29 indexed citations

4.

Theil, Arjan F., Elena Botta, Anja Raams, et al.. (2019). Bi-allelic TARS Mutations Are Associated with Brittle Hair Phenotype. The American Journal of Human Genetics. 105(2). 434–440. 42 indexed citations

5.

Corbett, Mark, Tracy Dudding‐Byth, Patricia Crock, et al.. (2015). A novel X-linked trichothiodystrophy associated with a nonsense mutation in RNF113A. Journal of Medical Genetics. 52(4). 269–274. 40 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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