Anna Di Carlo

3.2k citations
40 papers · 2.7k indexed · 1 hit paper · h-index 24
Topics
Tissue Engineering and Regenerative Medicine (7 papers)Pluripotent Stem Cells Research (7 papers)Muscle Physiology and Disorders (6 papers)

In The Last Decade

Anna Di Carlo

40 papers receiving 2.6k citations

Hit Papers

Circulating microRNAs are new and sensitive biomarkers of...20102026201520202010200400600

Peers

Anna Di Carlo
Comparison fields: 5 of 107
  • Molecular Biology 1.7k
  • Cancer Research 711
  • Surgery 444
  • Clinical Biochemistry 316
  • Cardiology and Cardiovascular Medicine 293
Replace Karri Paavonen with:
Karri Paavonen Finland
Aristidis Charonis United States
Emmanouil Chavakis Germany
Xinghui Sun United States
Antonella Mangoni Italy
Takashi Nishida Japan
Marcin Dobaczewski United States
Catherine E. Winbanks Australia
Zhiyong Lin United States
Alastair J. Strain United Kingdom
Anna Di Carlo relative to Karri Paavonen Finland Karri Paavonen's profile →
Citations per field
00.5×1.5×2.0×
Karri Paavonen · 1×
Citations per year

Countries citing papers authored by Anna Di Carlo

Since Specialization
Citations

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

Fields of papers citing papers by Anna Di Carlo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Di Carlo

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Di Carlo. A scholar is included among the top collaborators of Anna Di Carlo 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 Di Carlo. Anna Di Carlo 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
#WorkIndexed citations
1 7
2 27
3 15
4 12
5 21
6 25
7 28
8 98
9
Circulating microRNAs are new and sensitive biomarkers of myocardial infarctionbreakdown →
656
10 39
11 109
12 113
13 36
14 3
15 199
16 91
17 16
18 72
19 11
20 4

About Anna Di Carlo

Anna Di Carlo is a scholar working on Clinical Biochemistry, Aging and Reproductive Medicine, having authored 40 papers that have together received 2.7k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (7 papers), Pluripotent Stem Cells Research (7 papers) and Muscle Physiology and Disorders (6 papers). The work is most often cited by research in Cancer Research (711 citations), Clinical Biochemistry (316 citations) and Molecular Biology (1.7k citations). Anna Di Carlo has collaborated with scholars based in Italy, United States and Malaysia. Frequent co-authors include Maurizio C. Capogrossi, Massimo De Felici, Antonia Germani, Giulio Pompilio, Stefania Straino, Paolo Biglioli, Federica Limana, Fabio Martelli, Antonella Mangoni and Roberta De Mori. Their work appears in journals such as Journal of Biological Chemistry, Circulation and PLoS ONE.

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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