Fabio Casciani

1.1k total citations
41 papers, 193 citations indexed

About

Fabio Casciani is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Fabio Casciani has authored 41 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Oncology, 25 papers in Surgery and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Fabio Casciani's work include Pancreatic and Hepatic Oncology Research (34 papers), Pancreatitis Pathology and Treatment (15 papers) and Gallbladder and Bile Duct Disorders (9 papers). Fabio Casciani is often cited by papers focused on Pancreatic and Hepatic Oncology Research (34 papers), Pancreatitis Pathology and Treatment (15 papers) and Gallbladder and Bile Duct Disorders (9 papers). Fabio Casciani collaborates with scholars based in Italy, United States and Canada. Fabio Casciani's co-authors include Charles M. Vollmer, Claudio Bassi, Salvatore Paiella, Maxwell T. Trudeau, Roberto Salvia, Giuseppe Malleo, Luca Gianotti, Riccardo Caccialanza, Giovanni Marchegiani and Marta Sandini and has published in prestigious journals such as Gastroenterology, Annals of Surgery and Journal of the American College of Surgeons.

In The Last Decade

Fabio Casciani

35 papers receiving 192 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabio Casciani Italy 8 145 135 60 38 28 41 193
Vusal Aliyev Türkiye 11 200 1.4× 183 1.4× 34 0.6× 33 0.9× 25 0.9× 27 266
Sarah Powell‐Brett United Kingdom 8 139 1.0× 101 0.7× 33 0.6× 32 0.8× 25 0.9× 31 195
Clifton Rodrigues United States 5 127 0.9× 88 0.7× 50 0.8× 10 0.3× 37 1.3× 9 155
Rupaly Pandé United Kingdom 7 125 0.9× 77 0.6× 68 1.1× 9 0.2× 20 0.7× 27 146
Rami Rhaiem France 9 76 0.5× 103 0.8× 54 0.9× 8 0.2× 35 1.3× 43 199
Silvana Leanza Italy 8 42 0.3× 139 1.0× 77 1.3× 17 0.4× 19 0.7× 64 194
Hyeong Min Park South Korea 9 144 1.0× 163 1.2× 130 2.2× 7 0.2× 31 1.1× 27 232
James Halle‐Smith United Kingdom 8 125 0.9× 129 1.0× 118 2.0× 14 0.4× 15 0.5× 39 204
Yasmin G. Hernandez‐Barco United States 9 107 0.7× 116 0.9× 43 0.7× 6 0.2× 39 1.4× 31 182
Jeff F. Wang United States 5 81 0.6× 70 0.5× 115 1.9× 8 0.2× 41 1.5× 12 176

Countries citing papers authored by Fabio Casciani

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Casciani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Casciani

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

All Works

20 of 20 papers shown
1.
Secchettin, Erica, Salvatore Paiella, Danila Azzolina, et al.. (2025). Expert Judgment Supporting a Bayesian Network to Model the Survival of Pancreatic Cancer Patients. Cancers. 17(2). 301–301.
2.
Malleo, Giuseppe, Gabriella Lionetto, Stefano Crippa, et al.. (2024). Reappraising the Role of Intraoperative Neck Margin Revision in Postneoadjuvant Pancreatoduodenectomy for Pancreatic Ductal Adenocarcinoma. Annals of Surgery. 282(6). 1092–1101. 3 indexed citations
3.
Kim, Victoria M., Jacob C. Hodges, Fabio Casciani, et al.. (2024). Dynamic Assessment of Drain Fluid Amylase Estimates the Risk of CR-POPF Following Pancreatoduodenectomy. Annals of Surgery. 1 indexed citations
4.
Paiella, Salvatore, Erica Secchettin, Danila Azzolina, et al.. (2024). Evaluation of five nutritional scores as predictors of postoperative outcome following pancreatic resection: A prospective, single-center study. Clinical Nutrition ESPEN. 63. 635–641. 1 indexed citations
5.
Pastena, Matteo De, Elisa Bannone, Martina Fontana, et al.. (2024). Thirty-day prevalence and clinical impact of fluid collections at the resection margin after distal pancreatectomy: Follow-up of a multicentric randomized controlled trial. Surgery. 176(1). 189–195. 3 indexed citations
6.
Paiella, Salvatore, Giuseppe Malleo, Gabriella Lionetto, et al.. (2024). Adjuvant Therapy After Upfront Resection of Resectable Pancreatic Cancer: Patterns of Omission and Use—A Prospective Real-Life Study. Annals of Surgical Oncology. 31(5). 2892–2901. 3 indexed citations
7.
Malleo, Giuseppe, Fabio Casciani, Gabriella Lionetto, et al.. (2024). Resection to Exploration Ratios and Associated Outcomes in Patients with Pancreatic Ductal Adenocarcinoma. Annals of Surgery. 282(1). 77–85.
8.
Paiella, Salvatore, Florian Primavesi, Carsten Jäger, et al.. (2023). Treatment characteristics and outcomes of pure Acinar cell carcinoma of the pancreas – A multicentric European study on radically resected patients. HPB. 25(11). 1411–1419. 5 indexed citations
10.
Salvia, Roberto, et al.. (2023). Pancreatic cystic neoplasms: Still high rates of preoperative misdiagnosis in the guidelines and endoscopic ultrasound era. Surgery. 174(6). 1410–1415. 9 indexed citations
11.
Casciani, Fabio, et al.. (2023). 444 EXTENDING QUALITY IMPROVEMENT FOR PANCREATODUODENECTOMY WITHIN THE HIGH-VOLUME SETTING: THE EXPERIENCE FACTOR. Gastroenterology. 164(6). S–1472. 1 indexed citations
12.
Casciani, Fabio, et al.. (2023). Extending Quality Improvement for Pancreatoduodenectomy Within the High-Volume Setting. Annals of Surgery. 279(6). 1036–1045. 2 indexed citations
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14.
15.
Angrisani, Marco, Marta Sandini, Emanuele Cereda, et al.. (2020). Preoperative adiposity at bioimpedance vector analysis improves the ability of Fistula Risk Score (FRS) in predicting pancreatic fistula after pancreatoduodenectomy. Pancreatology. 20(3). 545–550. 16 indexed citations
16.
Ghiselli, Roberto, Guendalina Lucarini, Monica Ortenzi, et al.. (2020). Anastomotic healing in a rat model of peritonitis after non-steroidal anti-inflammatory drug administration. European Journal of Histochemistry. 64(1). 9 indexed citations
17.
Malleo, Giuseppe, Laura Maggino, Sara Nobile, et al.. (2020). Reappraisal of nodal staging and study of lymph node station involvement in distal pancreatectomy for body-tail pancreatic ductal adenocarcinoma. European Journal of Surgical Oncology. 46(9). 1734–1741. 5 indexed citations
18.
Salvia, Roberto, Fabio Casciani, Elisabetta Sereni, & Claudio Bassi. (2019). Pancreatic cancer – What's next?. La Presse Médicale. 48(3). e187–e197. 3 indexed citations
19.
Sandini, Marta, Salvatore Paiella, Emanuele Cereda, et al.. (2019). Perioperative Interstitial Fluid Expansion Predicts Major Morbidity Following Pancreatic Surgery. Annals of Surgery. 270(5). 923–929. 20 indexed citations
20.
Paiella, Salvatore, Matteo De Pastena, Fabio Casciani, et al.. (2018). Chyle leak after pancreatic surgery: validation of the International Study Group of Pancreatic Surgery classification. Surgery. 164(3). 450–454. 14 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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