Chiara Battelli

1.3k citations
21 papers · 1.0k · h-index 11

Impact in

Papers in

    • Breast Cancer Treatment Studies 2
    • MicroRNA in disease regulation 2
    • Cancer Genomics and Diagnostics 1

Chiara Battelli

20 papers receiving 985 citations

Peers

Chiara Battelli
Comparison fields: 5 of 76
  • Cancer Research 251
  • Genetics 321
  • Oncology 203
  • Molecular Biology 496
  • Pathology and Forensic Medicine 120
Replace Carmen Monaco with:
Carmen Monaco Italy
S Swift United Kingdom
Martin O’Reilly United Kingdom
Gisèle Danglot France
Sylvie Thuault France
Jens M. Teodoridis United Kingdom
Sarah Reid United Kingdom
Fanny Jaulin France
Mandy Wahlbuhl Germany
Sari Pennanen Finland
Chiara Battelli relative to Carmen Monaco Italy Carmen Monaco's profile →
Citations per field
00.5×2×4×6×7.2×
Carmen Monaco · 1×
Citations per year

Countries citing papers authored by Chiara Battelli

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Battelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chiara Battelli, 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 Chiara Battelli Line = papers co-authored together Chiara Battelli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014359
2 2005148
3 201197
4 200568
5 200353
6 201453
7 201751
8 201649
9 202434
10 200932
11
Expression of vascular endothelial growth factor, mitogen-activated protein kinase and p53 in human colorectal cancer.
200226
12 20039
13 20248
14 20137
15 20166
16 20113
17 20023
18
["Viral diarrhea-mucosal disease" comlex in cattle in Italy].
19662
19 20062
20 20251

About Chiara Battelli

Chiara Battelli is a scholar working on Cancer Research, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Emergency Medical Services, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (2 papers), RNA modifications and cancer (2 papers), Renal and related cancers (2 papers), MicroRNA in disease regulation (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Cancer Genomics and Diagnostics (1 paper), Pluripotent Stem Cells Research (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Cancer Research (251 citations), Genetics (321 citations), Oncology (203 citations), Molecular Biology (496 citations) and Pathology and Forensic Medicine (120 citations). Chiara Battelli has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Jane Mitchell, Daniel C. Cho, Joseph M. Verdi, Anne‐Renee Hartman, Judy Ellen Garber, Nadine Tung, Kathleen A. Soltis, Brian A Allen, Benjamin B. Roa and Karla R. Bowles. Their work appears in journals such as Molecular and Cellular Biology, Molecular and Cellular Neuroscience, JAMA, BMC Cancer and Oncology.

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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