Diego F. Calvisi

21.6k citations
215 papers · 11.5k indexed · 3 hit papers · h-index 55

Diego F. Calvisi

211 papers receiving 11.4k citations

Hit Papers

A novel prognostic subtype of human hepatocellular carcin...7222004202620112018200400600

Peers

Diego F. Calvisi
Comparison fields: 5 of 139
  • Hepatology 2.2k
  • Cancer Research 3.4k
  • Cell Biology 1.7k
  • Molecular Biology 7.0k
  • Oncology 2.4k
Replace Ju‐Seog Lee with:
Ju‐Seog Lee United States
Satdarshan P. Monga United States
Terence K. Lee Hong Kong
Valentina M. Factor United States
Shoji Nakamori Japan
Nathan W. Werneburg United States
Hui‐Chuan Sun China
Stephanie Ma Hong Kong
Frank Dombrowski Germany
Carolin Lackner Austria
Diego F. Calvisi relative to Ju‐Seog Lee United States Ju‐Seog Lee's profile →
Citations per field
00.5×1.6×
Ju‐Seog Lee · 1×
Citations per year

Countries citing papers authored by Diego F. Calvisi

Since Specialization
Citations

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

Fields of papers citing papers by Diego F. Calvisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego F. Calvisi. 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 Diego F. Calvisi. The network helps show where Diego F. Calvisi may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20241
4 202327
5 202216
6 20223
7 20214
8 202134
9 202011
10 20202
11 2020102
12 20196
13 201911
14 201755
15 201767
16 200940
17 200950
18 2008107
19 20066
20
Molecular pathogenesis of human hepatocellular carcinoma: Mechanistic and prognostic significance of aberrant methylation
20062

About Diego F. Calvisi

Diego F. Calvisi is a scholar working on Hepatology, Cancer Research and Cell Biology, having authored 215 papers that have together received 11.5k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (30 papers), Cancer-related Molecular Pathways (29 papers), Cancer Mechanisms and Therapy (29 papers), Liver physiology and pathology (28 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (28 papers), Hippo pathway signaling and YAP/TAZ (27 papers), PI3K/AKT/mTOR signaling in cancer (25 papers) and Cancer-related gene regulation (21 papers). The work is most often cited by research in Hepatology (2.2k citations), Cancer Research (3.4k citations) and Cell Biology (1.7k citations). Diego F. Calvisi has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Xin Chen, Snorri S. Thorgeirsson, Sara Ladu, Ju‐Seog Lee, Matthias Evert, Valentina M. Factor, Frank Dombrowski, Rosa M. Pascale, Francesco Feo and Jeonghoon Heo. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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