Annunziata Crupi

458 total citations
9 papers, 367 citations indexed

About

Annunziata Crupi is a scholar working on Surgery, Molecular Biology and Physiology. According to data from OpenAlex, Annunziata Crupi has authored 9 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Annunziata Crupi's work include Tissue Engineering and Regenerative Medicine (3 papers), Muscle Physiology and Disorders (3 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). Annunziata Crupi is often cited by papers focused on Tissue Engineering and Regenerative Medicine (3 papers), Muscle Physiology and Disorders (3 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). Annunziata Crupi collaborates with scholars based in Italy, United States and Germany. Annunziata Crupi's co-authors include Laura Teodori, Attila Tárnok, Alessandra Costa, Susanne Melzer, Sebastian Brandhorst, Valter D. Longo, D. Taylor, Francesco Alviano, Pasquale Marrazzo and Laura Bonsi and has published in prestigious journals such as PLoS ONE, Scientific Reports and European Journal of Immunology.

In The Last Decade

Annunziata Crupi

9 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Annunziata Crupi Italy 8 138 86 85 71 47 9 367
Tobias Vollkommer Germany 12 144 1.0× 84 1.0× 49 0.6× 41 0.6× 43 0.9× 22 414
Jertta‐Riina Sarkanen Finland 12 188 1.4× 57 0.7× 101 1.2× 99 1.4× 66 1.4× 19 472
Matthias Brandenburger Germany 9 95 0.7× 65 0.8× 52 0.6× 51 0.7× 37 0.8× 14 308
Beatriz de Lucas Spain 13 161 1.2× 129 1.5× 88 1.0× 80 1.1× 24 0.5× 26 517
Kai B. Kang United States 15 129 0.9× 69 0.8× 26 0.3× 47 0.7× 51 1.1× 26 506
Faeze Daghigh Iran 6 76 0.6× 103 1.2× 61 0.7× 141 2.0× 104 2.2× 14 373
Thomas Bertalot Italy 10 129 0.9× 45 0.5× 37 0.4× 99 1.4× 42 0.9× 14 432
Bum Shik Kim South Korea 8 153 1.1× 60 0.7× 41 0.5× 93 1.3× 74 1.6× 12 325
Lianne C. Shanley United States 11 201 1.5× 50 0.6× 62 0.7× 63 0.9× 30 0.6× 14 524
Jie Song China 16 214 1.6× 59 0.7× 47 0.6× 73 1.0× 39 0.8× 74 763

Countries citing papers authored by Annunziata Crupi

Since Specialization
Citations

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

Fields of papers citing papers by Annunziata Crupi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annunziata Crupi

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

All Works

9 of 9 papers shown
1.
Crupi, Annunziata, et al.. (2020). Periodic and Intermittent Fasting in Diabetes and Cardiovascular Disease. Current Diabetes Reports. 20(12). 83–83. 43 indexed citations
2.
Thomas, Amandine, Jean Hou, Annunziata Crupi, et al.. (2019). Myocardial hypothermia increases autophagic flux, mitochondrial mass and myocardial function after ischemia-reperfusion injury. Scientific Reports. 9(1). 10001–10001. 33 indexed citations
3.
Marrazzo, Pasquale, Annunziata Crupi, Francesco Alviano, Laura Teodori, & Laura Bonsi. (2019). Exploring the roles of MSCs in infections: focus on bacterial diseases. Journal of Molecular Medicine. 97(4). 437–450. 48 indexed citations
4.
Crupi, Annunziata, D. Taylor, Amandine Thomas, et al.. (2018). Oxidative muscles have better mitochondrial homeostasis than glycolytic muscles throughout life and maintain mitochondrial function during aging. Aging. 10(11). 3327–3352. 55 indexed citations
5.
Teodori, Laura, Annunziata Crupi, Alessandra Costa, et al.. (2016). Three‐dimensional imaging technologies: a priority for the advancement of tissue engineering and a challenge for the imaging community. Journal of Biophotonics. 10(1). 24–45. 45 indexed citations
6.
Crupi, Annunziata, Alessandra Costa, Attila Tárnok, Susanne Melzer, & Laura Teodori. (2015). Inflammation in tissue engineering: The Janus between engraftment and rejection. European Journal of Immunology. 45(12). 3222–3236. 89 indexed citations
7.
Fiore, Piera Filomena, et al.. (2014). Targeting PKCθ in skeletal muscle and muscle diseases: good or bad?. Biochemical Society Transactions. 42(6). 1550–1555. 11 indexed citations
8.
Madaro, Luca, Carmine Nicoletti, Annunziata Crupi, et al.. (2012). PKC Theta Ablation Improves Healing in a Mouse Model of Muscular Dystrophy. PLoS ONE. 7(2). e31515–e31515. 42 indexed citations
9.
Crupi, Annunziata, et al.. (1982). [May hand-arm vibration exposure be a hypertension-risk factor? (author's transl)].. PubMed. 72(5). 389–98. 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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