Serena Langella

2.1k total citations
62 papers, 1.1k citations indexed

About

Serena Langella is a scholar working on Hepatology, Surgery and Oncology. According to data from OpenAlex, Serena Langella has authored 62 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Hepatology, 37 papers in Surgery and 27 papers in Oncology. Recurrent topics in Serena Langella's work include Hepatocellular Carcinoma Treatment and Prognosis (36 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (24 papers) and Pancreatic and Hepatic Oncology Research (20 papers). Serena Langella is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (36 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (24 papers) and Pancreatic and Hepatic Oncology Research (20 papers). Serena Langella collaborates with scholars based in Italy, France and United States. Serena Langella's co-authors include Nadia Russolillo, Alessandro Ferrero, Lorenzo Capussotti, Luca Viganò, Roberto Lo Tesoriere, Giulio Belli, Corrado Fantini, Alberto D’Agostino, Andrea Belli and Luigi Cioffi and has published in prestigious journals such as Annals of Surgery, Annals of Oncology and British journal of surgery.

In The Last Decade

Serena Langella

54 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Serena Langella Italy 19 807 625 619 312 259 62 1.1k
Fabio Procopio Italy 20 1.1k 1.3× 747 1.2× 635 1.0× 316 1.0× 231 0.9× 75 1.3k
Roberto Lo Tesoriere Italy 18 757 0.9× 616 1.0× 679 1.1× 393 1.3× 185 0.7× 44 1.1k
Ernesto Sparrelid Sweden 20 869 1.1× 729 1.2× 597 1.0× 297 1.0× 392 1.5× 117 1.3k
Angela Palmisano Italy 17 805 1.0× 508 0.8× 440 0.7× 208 0.7× 308 1.2× 44 1.0k
Nadia Russolillo Italy 24 1.1k 1.3× 837 1.3× 852 1.4× 393 1.3× 446 1.7× 72 1.6k
Shin Kobayashi Japan 19 463 0.6× 627 1.0× 473 0.8× 342 1.1× 184 0.7× 74 1.0k
Daniele Del Fabbro Italy 24 1.4k 1.7× 893 1.4× 804 1.3× 383 1.2× 398 1.5× 77 1.7k
Wing Chiu Dai Hong Kong 19 816 1.0× 631 1.0× 317 0.5× 262 0.8× 379 1.5× 80 1.1k
Ralf Konopke Germany 14 786 1.0× 471 0.8× 887 1.4× 418 1.3× 123 0.5× 32 1.3k
Jin‐Yao Teo Singapore 16 567 0.7× 428 0.7× 338 0.5× 233 0.7× 228 0.9× 53 788

Countries citing papers authored by Serena Langella

Since Specialization
Citations

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

Fields of papers citing papers by Serena Langella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serena Langella

This figure shows the co-authorship network connecting the top 25 collaborators of Serena Langella. A scholar is included among the top collaborators of Serena Langella 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 Serena Langella. Serena Langella 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.
2.
Russolillo, Nadia, et al.. (2024). GAME-SCORE predicts pathological and radiological response to chemotherapy in patients with colorectal liver metastases. European Journal of Surgical Oncology. 50(11). 108529–108529.
3.
Russolillo, Nadia, et al.. (2023). Ultrasound liver map technique for laparoscopic liver resections: tips and tricks. Mini-invasive Surgery. 7. 3–3. 1 indexed citations
4.
Fontana, Andrea, et al.. (2023). Inverse probability of treatment weighting analysis of laparoscopic versus open Sg4b-5 bi-segmentectomy in patients with gallbladder cancer. Updates in Surgery. 75(6). 1471–1480. 2 indexed citations
5.
Ferrero, Alessandro, et al.. (2023). ASO Visual Abstract: Laparoscopic Liver Tunnel for Tumors at the Hepatocaval Confluence. Annals of Surgical Oncology. 31(2). 816–816. 1 indexed citations
6.
Ferrero, Alessandro, et al.. (2023). Laparoscopic Liver Tunnel for Tumors at the Hepatocaval Confluence. Annals of Surgical Oncology. 31(2). 772–773.
7.
8.
Langella, Serena, et al.. (2021). Recurrence after Curative Resection for Intrahepatic Cholangiocarcinoma: How to Predict the Chance of Repeat Hepatectomy?. Journal of Clinical Medicine. 10(13). 2820–2820. 6 indexed citations
9.
Langella, Serena, et al.. (2021). The Key role of intraoperative ultrasound staging in patients with intrahepatic cholangiocarcinoma. HPB. 23. S831–S831. 1 indexed citations
10.
Russolillo, Nadia, et al.. (2020). Comparison and validation of three difficulty scoring systems in laparoscopic liver surgery: a retrospective analysis on 300 cases. Surgical Endoscopy. 34(12). 5484–5494. 23 indexed citations
11.
Langella, Serena, Francesco Ardito, Nadia Russolillo, et al.. (2019). Intraoperative Ultrasound Staging for Colorectal Liver Metastases in the Era of Liver-Specific Magnetic Resonance Imaging: Is It Still Worthwhile?. Journal of Oncology. 2019. 1–8. 17 indexed citations
12.
Russolillo, Nadia, Elisa Sperti, Serena Langella, et al.. (2019). Impact of primary tumor location on patterns of recurrence and survival of patients undergoing resection of liver metastases from colon cancer. HPB. 22(1). 116–123. 17 indexed citations
13.
Russolillo, Nadia, Serena Langella, Roberto Lo Tesoriere, et al.. (2018). Alcohol injection into the portal vein prior to ligation increases liver regeneration rate. HPB. 20(8). 739–744.
14.
Addeo, Pietro, Serena Langella, Laura Arru, et al.. (2016). Robotic middle pancreatectomy with the double pursestring invaginated pancreaticogastrostomy (with video). Journal of Visceral Surgery. 153(6). 475–476. 1 indexed citations
15.
Russolillo, Nadia, et al.. (2016). Preoperative assessment of chemotherapeutic associated liver injury based on indocyanine green retention test. International Journal of Surgery. 31. 80–85. 13 indexed citations
16.
Addeo, Pietro, Manuela Cesaretti, Pascal Fuchshuber, et al.. (2016). Outcomes of liver resection for haemorrhagic hepatocellular adenoma. International Journal of Surgery. 27. 34–38. 6 indexed citations
17.
Birnbaum, David Jérémie, Luca Viganò, Nadia Russolillo, et al.. (2014). Lymph Node Metastases in Patients Undergoing Surgery for a Gallbladder Cancer. Extension of the Lymph Node Dissection and Prognostic Value of the Lymph Node Ratio. Annals of Surgical Oncology. 22(3). 811–818. 50 indexed citations
18.
Ribero, Dario, Marco F. Amisano, Francesca Bertuzzo, et al.. (2013). Measured versus Estimated Total Liver Volume to Preoperatively Assess the Adequacy of the Future Liver Remnant. Annals of Surgery. 258(5). 801–807. 55 indexed citations
19.
Mocavero, Paola Elvira, Maria Coppola, Serena Langella, et al.. (2012). An unusual cause of cardiogenic shock: tricuspid regurgitation and right ventricular perforation due to vena cava filter migration.. PubMed. 4(1). 47–50. 4 indexed citations
20.
Belli, Giulio, Corrado Fantini, Alberto D’Agostino, Andrea Belli, & Serena Langella. (2005). Laparoscopic hepatic resection for completely exophytic hepatocellular carcinoma on cirrhosis. Journal of Hepato-Biliary-Pancreatic Surgery. 12(6). 488–493. 19 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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