S. Saccomanno

2.8k citations
42 papers · 2.4k indexed · h-index 22

Impact in

  • Hepatology top 1%
    • Liver physiology and pathology
    • Liver Disease and Transplantation
    • Liver Diseases and Immunity
    • Liver Disease Diagnosis and Treatment

Papers in

S. Saccomanno

41 papers receiving 2.3k citations

Peers

S. Saccomanno
Comparison fields: 5 of 104
  • Hepatology 838
  • Epidemiology 1.3k
  • Endocrinology, Diabetes and Metabolism 539
  • Pharmacology 138
  • Surgery 615
Replace Mitsuteru Kitade with:
Mitsuteru Kitade Japan
Eitaro Taniguchi Japan
C. Candelaresi Italy
Tadashi Namisaki Japan
Bettina G. Papouchado United States
Tomonori Aoyama Japan
Kosuke Kaji Japan
E. Ceni Italy
Akinobu Takaki Japan
Alessandra Gentilini Italy
S. Saccomanno relative to Mitsuteru Kitade Japan Mitsuteru Kitade's profile →
Citations per field
00.5×1.5×
Mitsuteru Kitade · 1×
Citations per year

Countries citing papers authored by S. Saccomanno

Since Specialization
Citations

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

Fields of papers citing papers by S. Saccomanno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20209
2 201653
3 201481
4 2013231
5 201239
6 201222
7
Cellular and molecular mechanisms of hepatic fibrogenesis leading to liver cancer
201114
8 201012
9 200855
10 200770
11 2006218
12 200656
13 200638
14 2005131
15 200575
16 200351
17 2002119
18 200223
19 200131
20
Involvement of reactive oxygen species and NO radicals in activation and proliferation of hepatic stellate cells
19972

About S. Saccomanno

S. Saccomanno is a scholar working on Hepatology, Endocrinology, Diabetes and Metabolism, Epidemiology, Surgery and Pharmacology, having authored 42 papers that have together received 2.4k indexed citations. Recurring topics across this work include Liver physiology and pathology (15 papers), Liver Disease Diagnosis and Treatment (15 papers), Pediatric Hepatobiliary Diseases and Treatments (7 papers), Pancreatic function and diabetes (7 papers), Drug Transport and Resistance Mechanisms (6 papers), Liver Diseases and Immunity (6 papers), Diet, Metabolism, and Disease (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). The work is most often cited by research in Hepatology (838 citations), Epidemiology (1.3k citations), Endocrinology, Diabetes and Metabolism (539 citations), Pharmacology (138 citations) and Surgery (615 citations). S. Saccomanno has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include A. Benedetti, Gianluca Svegliati‐Baroni, C. Candelaresi, Marco Marzioni, Samuele De Minicis, L. Trozzi, F. Ridolfi, C. Rychlicki, Alessandro Casini and A. Di Sario. Their work appears in journals such as Journal of Hepatology, Hepatology, Digestive and Liver Disease, Gastroenterology and Liver International.

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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