Francesca Tozzi

659 citations
24 papers · 400 · h-index 9

Impact in

Papers in

    • Surgical Simulation and Training 3
    • Pancreatic and Hepatic Oncology Research 4

Francesca Tozzi

22 papers receiving 393 citations

Peers

Francesca Tozzi
Comparison fields: 5 of 90
  • Biological Psychiatry 30
  • Neurology 88
  • Behavioral Neuroscience 14
  • Physiology 15
  • Cellular and Molecular Neuroscience 58
Replace Hyeri Nam with:
Hyeri Nam South Korea
Wentao Wang China
Eun‐Kyoung Kim South Korea
Sookhee Bang United States
Aziza Alrafiah Saudi Arabia
Marion Tible France
Yeojung Koh United States
Thilo Kaehne Germany
Rosemary Ahrens Canada
Judith A. Herlein United States
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Citations per field
00.5×
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Citations per year

Countries citing papers authored by Francesca Tozzi

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Tozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020156
2 202270
3 202341
4 201821
5 202121
6 202215
7 202413
8 202111
9 201811
10 20247
11 20225
12 20195
13
Haemodynamic and haemoximetric aspects of experimental orthotopic liver transplantation: comparison between two different doses of propofol.
19955
14 20234
15 20163
16 20163
17 20252
18 20242
19 20222
20 20241

About Francesca Tozzi

Francesca Tozzi is a scholar working on Surgery, Oncology, Epidemiology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 400 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Anatomy and Medical Technology (3 papers), Surgical Simulation and Training (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Neuroendocrine Tumor Research Advances (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Biological Psychiatry (30 citations), Neurology (88 citations), Behavioral Neuroscience (14 citations), Physiology (15 citations) and Cellular and Molecular Neuroscience (58 citations). Francesca Tozzi has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Nicola Origlia, Chiara Falcicchia, Ottavio Arancio, D. Martin Watterson, Grazia Rutigliano, Claudia Verderio, Martina Gabrielli, Pooja Joshi, Annalisa Radeghieri and Ilaria Prada. Their work appears in journals such as The American Surgeon, Cell Reports, World Journal of Surgery, International Journal of Surgery and Brain Communications.

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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