Gabriele Sganga

9.2k citations
123 papers · 2.3k indexed · h-index 23

Gabriele Sganga

117 papers receiving 2.2k citations

Peers

Gabriele Sganga
Comparison fields: 5 of 121
  • Applied Microbiology and Biotechnology 178
  • Critical Care and Intensive Care Medicine 196
  • Infectious Diseases 645
  • Molecular Medicine 136
  • Urology 164
Replace Oscar Fernando Pavão dos Santos with:
Oscar Fernando Pavão dos Santos Brazil
H. Harlan Stone United States
Douglas Slain United States
Florian Thalhammer Austria
D. A. Leigh United Kingdom
M R B Keighley United Kingdom
Samuel E. Wilson United States
Stephen I. Vas Canada
Cees van Nieuwkoop Netherlands
G. Höffken Germany
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Citations per year

Countries citing papers authored by Gabriele Sganga

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Sganga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20247
4 20240
5 20234
6 202218
7 20216
8 20203
9 20204
10 20153
11 201532
12 201419
13 20133
14 20134
15 201240
16 201214
17 20101
18 20096
19
From infection to sepsis and organ(s) dysfunction. The surgical point of view.
20013
20
Metabolic patterns after kidney transplantation
19831

About Gabriele Sganga

Gabriele Sganga is a scholar working on Emergency Medicine, Critical Care and Intensive Care Medicine and Transplantation, having authored 123 papers that have together received 2.3k indexed citations. Recurring topics across this work include Appendicitis Diagnosis and Management (21 papers), Cardiac, Anesthesia and Surgical Outcomes (16 papers), Antifungal resistance and susceptibility (14 papers), Surgical site infection prevention (13 papers), Diverticular Disease and Complications (11 papers), Liver Disease and Transplantation (11 papers), Fungal Infections and Studies (9 papers) and Gallbladder and Bile Duct Disorders (8 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (178 citations), Critical Care and Intensive Care Medicine (196 citations) and Infectious Diseases (645 citations). Gabriele Sganga has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Giuseppe Brisinda, Giorgio Maria, Alberto Albanese, Anna Rita Bentivoglio, Ignazio Massimo Civello, M Castagneto, Francesco Menichetti, Philippe Montravers, Georg Auzinger and Antonio Gasbarrini. Their work appears in journals such as World Journal of Emergency Surgery, Intensive Care Medicine, Langenbeck s Archives of Surgery, Clinical Microbiology and Infection and 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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