Francesca Tava

425 total citations
9 papers, 344 citations indexed

About

Francesca Tava is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Francesca Tava has authored 9 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 6 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Francesca Tava's work include Gastric Cancer Management and Outcomes (7 papers), Helicobacter pylori-related gastroenterology studies (4 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). Francesca Tava is often cited by papers focused on Gastric Cancer Management and Outcomes (7 papers), Helicobacter pylori-related gastroenterology studies (4 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). Francesca Tava collaborates with scholars based in Italy, Germany and France. Francesca Tava's co-authors include Roberto Fiocca, Enrico Solcia, Ombretta Luinetti, Ulderico Ventura, Vittorio Ricci, Vittorio Necchi, Catherine Klersy, Maria‐Rosa Ghigna, M. Perego and E. Trespi and has published in prestigious journals such as Gastroenterology, Human Pathology and Journal of Gastrointestinal Surgery.

In The Last Decade

Francesca Tava

8 papers receiving 337 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Francesca Tava Italy 6 269 135 113 54 42 9 344
Boldbaatar Gantuya Japan 10 255 0.9× 133 1.0× 48 0.4× 126 2.3× 36 0.9× 18 342
Cosima Langner Germany 9 237 0.9× 103 0.8× 45 0.4× 106 2.0× 27 0.6× 23 358
Masahide Watada Japan 10 469 1.7× 135 1.0× 303 2.7× 52 1.0× 18 0.4× 15 518
M. Tokieda Japan 5 452 1.7× 227 1.7× 150 1.3× 52 1.0× 23 0.5× 8 497
Lisa Nagase Japan 7 250 0.9× 49 0.4× 182 1.6× 119 2.2× 49 1.2× 9 339
X. Zhao China 4 419 1.6× 66 0.5× 275 2.4× 47 0.9× 19 0.5× 4 458
Mahmoud Eshagh Hosseini Iran 9 548 2.0× 135 1.0× 349 3.1× 45 0.8× 18 0.4× 19 589
Jacqueline Ramchatesingh United States 6 224 0.8× 100 0.7× 40 0.4× 174 3.2× 18 0.4× 6 417
Dinorah Nashely Martínez-Carrillo Mexico 11 197 0.7× 37 0.3× 115 1.0× 134 2.5× 46 1.1× 21 391
Nariaki Toita Japan 7 100 0.4× 23 0.2× 70 0.6× 47 0.9× 29 0.7× 13 202

Countries citing papers authored by Francesca Tava

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Tava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Tava

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Tava. A scholar is included among the top collaborators of Francesca Tava 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 Francesca Tava. Francesca Tava is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Wilm, Frauke, Matthias Rübner, Corinna Lang‐Schwarz, et al.. (2025). Fully automatic HER2 tissue segmentation for interpretable HER2 scoring. Journal of Pathology Informatics. 17. 100435–100435.
2.
Cozzi, Salvatore, et al.. (2024). Radiation-Associated Angiosarcoma of the Breast: The State of the Art of a Rare and Aggressive Disease. Journal of Personalized Medicine. 14(8). 859–859. 2 indexed citations
3.
Solcia, Enrico, Catherine Klersy, Alessandro Vanoli, et al.. (2013). The contribution of cell phenotype to the behavior of gastric cancer. Gastric Cancer. 16(4). 462–471. 3 indexed citations
4.
Gobbi, Paolo G., et al.. (2011). Improving the AJCC/TNM Classification for Use in Early Gastric Cancer. Journal of Gastrointestinal Surgery. 15(6). 935–941. 5 indexed citations
5.
Solcia, Enrico, Catherine Klersy, Luca Mastracci, et al.. (2009). A combined histologic and molecular approach identifies three groups of gastric cancer with different prognosis. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 455(3). 197–211. 31 indexed citations
6.
Chiaravalli, Anna Maria, Catherine Klersy, Francesca Tava, et al.. (2009). Lower- and higher-grade subtypes of diffuse gastric cancer. Human Pathology. 40(11). 1591–1599. 16 indexed citations
7.
Necchi, Vittorio, Francesca Tava, Ombretta Luinetti, et al.. (2007). Intracellular, Intercellular, and Stromal Invasion of Gastric Mucosa, Preneoplastic Lesions, and Cancer by Helicobacter pylori. Gastroenterology. 132(3). 1009–1023. 197 indexed citations
8.
Tava, Francesca, Maria‐Rosa Ghigna, C Alvisi, et al.. (2006). Type or extension of intestinal metaplasia and immature/atypical “indefinite-for-dysplasia” lesions as predictors of gastric neoplasia✯. Human Pathology. 37(11). 1489–1497. 73 indexed citations
9.
Solcia, Enrico, Ombretta Luinetti, Francesca Tava, et al.. (2004). Identification of a lower grade muconodular subtype of gastric mucinous cancer. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 445(6). 572–579. 17 indexed citations

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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