M. Fruscione

4.0k total citations · 2 hit papers
20 papers, 2.7k citations indexed

About

M. Fruscione is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, M. Fruscione has authored 20 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 7 papers in Surgery and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in M. Fruscione's work include Cancer survivorship and care (5 papers), Pain Management and Opioid Use (4 papers) and Pancreatic and Hepatic Oncology Research (4 papers). M. Fruscione is often cited by papers focused on Cancer survivorship and care (5 papers), Pain Management and Opioid Use (4 papers) and Pancreatic and Hepatic Oncology Research (4 papers). M. Fruscione collaborates with scholars based in United States, Germany and Japan. M. Fruscione's co-authors include Ethan Basch, Laura Sit, Deborah Schrag, Allison Barz Leahy, Mark G. Kris, Thomas M. Atkinson, Howard I. Scher, Lauren J. Rogak, Antonia V. Bennett and Clifford A. Hudis and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Cancer Research.

In The Last Decade

M. Fruscione

20 papers receiving 2.6k citations

Hit Papers

Symptom Monitoring With Patient-Reported Outcomes During... 2009 2026 2014 2020 2015 2009 500 1000 1.5k

Peers

M. Fruscione
Laura Sit United States
Lauren J. Rogak United States
Dorothy Dulko United States
Allison Barz Leahy United States
Kim Cocks United Kingdom
Hilary Plant United Kingdom
Penny Wright United Kingdom
Roxanne E. Jensen United States
Kah Poh Loh United States
Laura Sit United States
M. Fruscione
Citations per year, relative to M. Fruscione M. Fruscione (= 1×) peers Laura Sit

Countries citing papers authored by M. Fruscione

Since Specialization
Citations

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

Fields of papers citing papers by M. Fruscione

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Fruscione

This figure shows the co-authorship network connecting the top 25 collaborators of M. Fruscione. A scholar is included among the top collaborators of M. Fruscione 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 M. Fruscione. M. Fruscione 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.
Kojima, Lisa, Miho Akabane, Matthew J. Murray, et al.. (2024). Reappraisal of tacrolimus levels after liver transplant for HCC: A multicenter study toward personalized immunosuppression regimen. Liver Transplantation. 31(3). 344–354. 6 indexed citations
2.
Yamamoto, Takayuki, Anushi Shah, M. Fruscione, et al.. (2022). Revisiting the “Weekend Effect” on Adult and Pediatric Liver and Kidney Offer Acceptance. Annals of Transplantation. 27. e937825–e937825. 1 indexed citations
3.
Fruscione, M., E. Baker, John B. Martinie, et al.. (2020). Conversion therapy for intrahepatic cholangiocarcinoma and tumor downsizing to increase resection rates: A systematic review. Current Problems in Cancer. 45(1). 100614–100614. 18 indexed citations
4.
Dulko, Dorothy, Howard I. Scher, Allison M. Deal, et al.. (2020). Symptom Monitoring With Patient-Reported Outcomes During Routine Cancer Treatment: A Randomized Controlled Trial. UNC Libraries. 2 indexed citations
5.
Fruscione, M., E. Baker, Allyson Cochran, et al.. (2019). Robotic-assisted versus laparoscopic major liver resection: analysis of outcomes from a single center. HPB. 21(7). 906–911. 67 indexed citations
6.
Fruscione, M., Russell C. Kirks, Allyson Cochran, et al.. (2018). Routine versus difficult cholecystectomy: using predictive analytics to assess patient outcomes. HPB. 21(1). 77–86. 2 indexed citations
7.
Fruscione, M., Russell C. Kirks, Allyson Cochran, et al.. (2018). Developing and validating a center-specific preoperative prediction calculator for risk of outcomes following major hepatectomy procedures. HPB. 20(8). 721–728. 9 indexed citations
8.
Kirks, Russell C., M. Fruscione, Allyson Cochran, et al.. (2017). Robotic longitudinal pancreaticojejunostomy for chronic pancreatitis: Comparison of clinical outcomes and cost to the open approach. International Journal of Medical Robotics and Computer Assisted Surgery. 13(3). 8 indexed citations
9.
Basch, Ethan, Allison M. Deal, Mark G. Kris, et al.. (2015). Symptom Monitoring With Patient-Reported Outcomes During Routine Cancer Treatment: A Randomized Controlled Trial. Journal of Clinical Oncology. 34(6). 557–565. 1668 indexed citations breakdown →
10.
Kratimenos, Panagiotis, et al.. (2015). Infantile Tubercular Meningitis With Brain Infarct. Pediatric Emergency Care. 32(2). 95–97. 2 indexed citations
11.
Autio, Karen A., Antonia V. Bennett, Xiaoyu Jia, et al.. (2013). Prevalence of Pain and Analgesic Use in Men With Metastatic Prostate Cancer Using a Patient-Reported Outcome Measure. Journal of Oncology Practice. 9(5). 223–229. 23 indexed citations
12.
Atkinson, Thomas M., Yuelin Li, Charles W. Coffey, et al.. (2011). Reliability of adverse symptom event reporting by clinicians. Quality of Life Research. 21(7). 1159–1164. 168 indexed citations
13.
Atkinson, Thomas M., Barry Rosenfeld, Laura Sit, et al.. (2010). Using Confirmatory Factor Analysis to Evaluate Construct Validity of the Brief Pain Inventory (BPI). Journal of Pain and Symptom Management. 41(3). 558–565. 185 indexed citations
14.
Atkinson, Thomas M., Laura Sit, Tito R. Mendoza, et al.. (2010). Confirmatory factor analysis to evaluate construct validity of the Brief Pain Inventory (BPI).. Journal of Clinical Oncology. 28(15_suppl). e19505–e19505. 2 indexed citations
15.
Basch, Ethan, Xiaoyu Jia, Glenn Heller, et al.. (2009). Adverse Symptom Event Reporting by Patients vs Clinicians: Relationships With Clinical Outcomes. JNCI Journal of the National Cancer Institute. 101(23). 1624–1632. 480 indexed citations breakdown →
16.
Basch, Ethan, Laura Sit, M. Fruscione, et al.. (2009). Pain and analgesic use in men with metastatic prostate cancer. Journal of Clinical Oncology. 27(15_suppl). e20515–e20515. 1 indexed citations
17.
Dickler, Maura N., M. Fruscione, Laura Sit, et al.. (2009). Burden of Sexual Dysfunction in Women with Breast Cancer.. Cancer Research. 69(24_Supplement). 1056–1056. 1 indexed citations
18.
Goldfarb, Shari, Maura N. Dickler, Laura Sit, et al.. (2009). Sexual dysfunction in women with breast cancer: Prevalence and severity. Journal of Clinical Oncology. 27(15_suppl). 9558–9558. 10 indexed citations
19.
Sachpazidis, Ilias, et al.. (2002). @HOME EIN NEUES EU-PROJEKT ZUM TELE HOME CARE. Biomedizinische Technik/Biomedical Engineering. 47(s1b). 970–972. 3 indexed citations
20.
Sachpazidis, Ilias, Argyris N. Stassinakis, Anastasia Stavropoulou, et al.. (2002). [@HOME is a new Eu-Project in Tele Home care].. PubMed. 47 Suppl 1 Pt 2. 970–2. 3 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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