Nadia Russolillo

4.5k total citations
72 papers, 1.6k citations indexed

About

Nadia Russolillo is a scholar working on Hepatology, Surgery and Oncology. According to data from OpenAlex, Nadia Russolillo has authored 72 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Hepatology, 38 papers in Surgery and 37 papers in Oncology. Recurrent topics in Nadia Russolillo's work include Hepatocellular Carcinoma Treatment and Prognosis (48 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (26 papers) and Pancreatic and Hepatic Oncology Research (23 papers). Nadia Russolillo is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (48 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (26 papers) and Pancreatic and Hepatic Oncology Research (23 papers). Nadia Russolillo collaborates with scholars based in Italy, United States and Portugal. Nadia Russolillo's co-authors include Alessandro Ferrero, Serena Langella, Lorenzo Capussotti, Luca Viganò, Roberto Lo Tesoriere, Giulio Belli, Andrea Belli, Corrado Fantini, Alberto D’Agostino 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

Nadia Russolillo

66 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nadia Russolillo Italy 24 1.1k 852 837 446 393 72 1.6k
Daniele Del Fabbro Italy 24 1.4k 1.3× 804 0.9× 893 1.1× 398 0.9× 383 1.0× 77 1.7k
Angela Palmisano Italy 17 805 0.8× 440 0.5× 508 0.6× 308 0.7× 208 0.5× 44 1.0k
Serena Langella Italy 19 807 0.8× 619 0.7× 625 0.7× 259 0.6× 312 0.8× 62 1.1k
Shin Kobayashi Japan 19 463 0.4× 473 0.6× 627 0.7× 184 0.4× 342 0.9× 74 1.0k
Alessandro Valdegamberi Italy 18 567 0.5× 667 0.8× 980 1.2× 426 1.0× 568 1.4× 32 1.4k
Paolo Magistri Italy 20 443 0.4× 444 0.5× 709 0.8× 167 0.4× 464 1.2× 101 1.2k
Joseph Espat United States 10 587 0.6× 367 0.4× 346 0.4× 124 0.3× 419 1.1× 14 1.0k
Takafumi Abo Japan 21 588 0.6× 476 0.6× 764 0.9× 336 0.8× 485 1.2× 101 1.4k
Kit‐Fai Lee China 22 887 0.8× 379 0.4× 739 0.9× 464 1.0× 427 1.1× 86 1.4k
Carlos Valls Spain 17 726 0.7× 614 0.7× 634 0.8× 360 0.8× 381 1.0× 34 1.3k

Countries citing papers authored by Nadia Russolillo

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Russolillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Russolillo

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Russolillo. A scholar is included among the top collaborators of Nadia Russolillo 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 Nadia Russolillo. Nadia Russolillo 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.
Fiz, Francesco, Nadia Russolillo, Ezio Lanza, et al.. (2024). CT-radiomics and pathological tumor response to systemic therapy: A predictive analysis for colorectal liver metastases. Development and internal validation of a clinical-radiomic model. European Journal of Surgical Oncology. 51(3). 109557–109557.
4.
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
5.
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
6.
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
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, Francesca Ratti, Francesco Ardito, et al.. (2021). Incidence and predictors of textbook outcome after simultaneous liver and rectal surgeries for Stage IV rectal cancer. Colorectal Disease. 24(1). 50–58. 10 indexed citations
11.
Bartolini, Ilenia, Tommaso Nelli, Nadia Russolillo, et al.. (2021). Multiple hepatocellular carcinoma: Long-term outcomes following resection beyond actual guidelines. An Italian multicentric retrospective study. The American Journal of Surgery. 222(3). 599–605. 7 indexed citations
12.
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
13.
Russolillo, Nadia, Elisa Sperti, & Alessandro Ferrero. (2020). Telephone-based postoperative surveillance protocol for hepatobiliary cancer during the COVID-19 outbreak. Updates in Surgery. 72(2). 317–318. 1 indexed citations
14.
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
15.
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
16.
Gonella, Federica, Antonio Valenti, Paolo Massucco, et al.. (2019). A novel patient-centered protocol to reduce hospital readmissions for dehydration after ileostomy. Updates in Surgery. 71(3). 515–521. 18 indexed citations
17.
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.
18.
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
19.
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
20.
Nathan, Hari, Gilles Mentha, Hugo P. Marques, et al.. (2009). Comparative performances of staging systems for early hepatocellular carcinoma. HPB. 11(5). 382–390. 20 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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