Anna Caselli

2.4k citations
51 papers · 1.9k · h-index 24

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Protein Tyrosine Phosphatases
    • Redox biology and oxidative stress
    • Metabolism, Diabetes, and Cancer
    • Genomics, phytochemicals, and oxidative stress

Papers in

Anna Caselli

51 papers receiving 1.9k citations

Peers

Anna Caselli
Comparison fields: 5 of 114
  • Cancer Research 256
  • Molecular Biology 1.1k
  • Immunology 294
  • Biochemistry 77
  • Cell Biology 204
Replace Renata Colavitti with:
Renata Colavitti United States
Min Young Lee South Korea
Yasuaki Kabe Japan
Jingling Jin United States
K. Eric Paulson United States
Jae‐Won Soh South Korea
Ning Wei China
Eun‐Yi Moon South Korea
Yoshiyuki Kawamoto Japan
Hüveyda Başağa Türkiye
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Citations per field
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Renata Colavitti · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Anna Caselli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anna Caselli Line = papers co-authored together Anna Caselli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016215
2 1998181
3 1994129
4 2008118
5 2015118
6 2013105
7 201585
8 201067
9 202267
10 200262
11 200960
12 199352
13 199249
14 201348
15 200743
16 201638
17 201734
18 199532
19 200129
20 201627

About Anna Caselli

Anna Caselli is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cell Biology, Immunology and Physiology, having authored 51 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (19 papers), Alkaline Phosphatase Research Studies (8 papers), Galectins and Cancer Biology (7 papers), Biochemical and Molecular Research (5 papers), Muscle metabolism and nutrition (4 papers), Caveolin-1 and cellular processes (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Cancer Research (256 citations), Molecular Biology (1.1k citations), Immunology (294 citations), Biochemistry (77 citations) and Cell Biology (204 citations). Anna Caselli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Paolo Cirri, Paolo Paoli, Guido Camici, Alice Santi, Giampietro Ramponi, Giampaolo Manao, Luigia Pazzagli, Francesco Ranaldi, Giovanni G. Camici and G. Manao. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - General Subjects, Journal of Biological Chemistry, Molecular Carcinogenesis, Molecular BioSystems and Cell and Tissue Research.

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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