Anna Caselli

2.4k citations
53 papers · 2.1k · h-index 23

Impact in

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

Papers in

Anna Caselli

53 papers receiving 2.0k citations

Peers

Anna Caselli
Comparison fields: 5 of 116
  • Cancer Research 265
  • Molecular Biology 1.2k
  • Immunology 313
  • Biochemistry 86
  • Cell Biology 207
Replace Renata Colavitti with:
Renata Colavitti United States
Jingling Jin United States
Xiaojun Feng China
Saurabh Pratap Singh India
Ning Wei China
Yoshiyuki Kawamoto Japan
Jae‐Won Soh South Korea
Sudhir Chowdhry United Kingdom
Hüveyda Başağa Türkiye
Chi‐Wai Wong China
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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 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016227
2 1998190
3 1994136
4 2015132
5 2008122
6 2013114
7 201589
8 202274
9 201073
10 200262
11 200962
12 199359
13 199252
14 201350
15 200746
16 201640
17 199540
18 201736
19 201630
20 200129

About Anna Caselli

Anna Caselli is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cell Biology, Immunology and Physiology, having authored 53 papers that have together received 2.1k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (20 papers), Alkaline Phosphatase Research Studies (8 papers), Galectins and Cancer Biology (7 papers), Biochemical and Molecular Research (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Muscle metabolism and nutrition (4 papers), Caveolin-1 and cellular processes (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Cancer Research (265 citations), Molecular Biology (1.2k citations), Immunology (313 citations), Biochemistry (86 citations) and Cell Biology (207 citations). Anna Caselli has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Paolo Cirri, Paolo Paoli, Guido Camici, Alice Santi, Giampietro Ramponi, Giampaolo Manao, Luigia Pazzagli, Francesco Ranaldi, Giovanni Guido Camici and Gianpaolo Manao. Their work appears in journals such as Journal of Biological Chemistry, Biochimica et Biophysica Acta (BBA) - General Subjects, Microgravity Science and Technology, Molecular Carcinogenesis and FEBS Letters.

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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