Chiara Modica

463 citations
23 papers · 237 · h-index 10

Impact in

  • Hepatology top 10%
    • Liver physiology and pathology
    • Cancer Cells and Metastasis
    • Pancreatic and Hepatic Oncology Research
    • CAR-T cell therapy research

Papers in

    • Liver physiology and pathology 10
    • PI3K/AKT/mTOR signaling in cancer 3
    • Epigenetics and DNA Methylation 2

Chiara Modica

22 papers receiving 235 citations

Peers

Chiara Modica
Comparison fields: 5 of 49
  • Hepatology 53
  • Oncology 89
  • Cancer Research 41
  • Immunology 44
  • Biotechnology 15
Replace Hui Qin Wang with:
Hui Qin Wang United States
Colan Ho-Yen United Kingdom
Keerthi Kurma France
Mengzhou Guo China
Jeannette Huaman United States
Ouyang Luo China
Chengzhi Du China
Yajuan Cao China
Venkatesh Kancherla Switzerland
Kyung Joo Cho South Korea
Chiara Modica relative to Hui Qin Wang United States Hui Qin Wang's profile →
Citations per field
00.5×3.1×
Hui Qin Wang · 1×
Citations per year

Countries citing papers authored by Chiara Modica

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Modica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202139
2 201935
3 201826
4 202216
5 202216
6 201813
7 202212
8 202112
9 201611
10 202211
11 20229
12 20228
13 20227
14 20216
15 20254
16 20203
17 20233
18 20252
19 20231
20 20241

About Chiara Modica

Chiara Modica is a scholar working on Hepatology, Molecular Biology, Oncology, Immunology and Cancer Research, having authored 23 papers that have together received 237 indexed citations. Recurring topics across this work include Liver physiology and pathology (10 papers), Cancer Cells and Metastasis (5 papers), Pancreatic and Hepatic Oncology Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Microtubule and mitosis dynamics (2 papers), Epigenetics and DNA Methylation (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Hepatology (53 citations), Oncology (89 citations), Cancer Research (41 citations), Immunology (44 citations) and Biotechnology (15 citations). Chiara Modica has collaborated with scholars based in Italy, Argentina and Russia. Frequent co-authors include Elisa Vigna, Paolo M. Comoglio, Cristina Basilico, Cristina Chiriaco, Alice Turdo, Giorgio Stassi, Matilde Todaro, Gaetana Porcelli, Miriam Gaggianesi and Simone Di Franco. Their work appears in journals such as Cancers, Journal of Experimental & Clinical Cancer Research, International Journal of Molecular Sciences, Pharmacological Research and Frontiers in Cell and Developmental Biology.

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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