Silvia Pachera

1.1k citations
16 papers · 847 indexed · h-index 11
Topics
Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers)Hepatocellular Carcinoma Treatment and Prognosis (6 papers)Liver Disease and Transplantation (5 papers)
Partner nations
ItalyJapanCanada

In The Last Decade

Silvia Pachera

15 papers receiving 832 citations

Peers

Silvia Pachera
Comparison fields: 5 of 51
  • Surgery 510
  • Hepatology 405
  • Pulmonary and Respiratory Medicine 333
  • Oncology 320
  • Epidemiology 276
Replace Tadatoshi Takayama with:
Tadatoshi Takayama Japan
Shun‐ichi Ariizumi Japan
Nafis Shafizadeh United States
Sheung-Tat Fan Hong Kong
Yu Sawada Japan
Katsunori Wada Japan
Francesca Torello Viera Italy
Takahiro Terashi Japan
Yoshiko Sudo Japan
Takafumi Machimoto Japan
Silvia Pachera relative to Tadatoshi Takayama Japan Tadatoshi Takayama's profile →
Citations per field
00.5×1.7×
Tadatoshi Takayama · 1×
Citations per year

Countries citing papers authored by Silvia Pachera

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Pachera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Pachera

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Pachera. A scholar is included among the top collaborators of Silvia Pachera based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Silvia Pachera. Silvia Pachera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 27
2 46
3 1
4 60
5 15
6 5
7 2
8 238
9 57
10 24
11 121
12 45
13 74
14 3
15 129
16
[Acute hemorrhage secondary to gastric ulcer. Results of emergency endoscopic treatment in 775 cases].
0

About Silvia Pachera

Silvia Pachera is a scholar working on Hepatology, Gastroenterology and Oncology, having authored 16 papers that have together received 847 indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers) and Liver Disease and Transplantation (5 papers). The work is most often cited by research in Hepatology (405 citations), Oncology (320 citations) and Surgery (510 citations). Silvia Pachera has collaborated with scholars based in Italy, Japan and Canada. Frequent co-authors include Andrea Ruzzenente, Alfredo Guglielmi, Calogero Iacono, Alessandro Valdegamberi, Tommaso Campagnaro, Paola Nicoli, Mirko D’Onofrio, Alessandro Cappellani, Marco Sandri and Matteo Donataccio. Their work appears in journals such as The American Journal of Gastroenterology, World Journal of Gastroenterology and World Journal of Surgery.

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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