Mario Masrur

1.8k total citations
97 papers, 1.1k citations indexed

About

Mario Masrur is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mario Masrur has authored 97 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Surgery, 32 papers in Pulmonary and Respiratory Medicine and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mario Masrur's work include Bariatric Surgery and Outcomes (41 papers), Esophageal and GI Pathology (18 papers) and Body Contouring and Surgery (15 papers). Mario Masrur is often cited by papers focused on Bariatric Surgery and Outcomes (41 papers), Esophageal and GI Pathology (18 papers) and Body Contouring and Surgery (15 papers). Mario Masrur collaborates with scholars based in United States, Argentina and Egypt. Mario Masrur's co-authors include Pier Cristoforo Giulianotti, Enrique F. Elli, Francesco M. Bianco, Raquel Gonzalez-Heredia, Antonio Gangemi, Alberto Mangano, Nicolás H. Dreifuss, Chandra Hassan, Francisco Schlottmann and Eduardo Fernandes and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and The FASEB Journal.

In The Last Decade

Mario Masrur

89 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
Mario Masrur United States 20 847 414 181 153 120 97 1.1k
Dimitrios E. Magouliotis Greece 17 659 0.8× 324 0.8× 116 0.6× 212 1.4× 165 1.4× 115 1.0k
Chetan Parmar United Kingdom 23 1.3k 1.5× 360 0.9× 163 0.9× 344 2.2× 176 1.5× 115 1.6k
Fernando Pimentel Chile 21 1.0k 1.2× 385 0.9× 187 1.0× 368 2.4× 69 0.6× 48 1.3k
Luca Milone United States 20 1.4k 1.7× 612 1.5× 259 1.4× 317 2.1× 50 0.4× 56 1.6k
Bruno da Costa Martins Brazil 17 708 0.8× 398 1.0× 235 1.3× 256 1.7× 41 0.3× 90 996
Antonio D’Urso Italy 16 561 0.7× 239 0.6× 101 0.6× 158 1.0× 79 0.7× 51 711
Ahmad Aly Australia 19 910 1.1× 371 0.9× 111 0.6× 39 0.3× 62 0.5× 58 1.2k
Kazunori Kasama Japan 23 1.4k 1.7× 393 0.9× 169 0.9× 623 4.1× 89 0.7× 87 1.8k
Monica Saumoy United States 22 1.3k 1.5× 700 1.7× 528 2.9× 231 1.5× 15 0.1× 102 1.6k
Richard B. Allan Australia 16 350 0.4× 318 0.8× 46 0.3× 63 0.4× 69 0.6× 35 851

Countries citing papers authored by Mario Masrur

Since Specialization
Citations

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

Fields of papers citing papers by Mario Masrur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Masrur

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Masrur. A scholar is included among the top collaborators of Mario Masrur 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 Mario Masrur. Mario Masrur 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.
Mahmoud, Abeer M., Francesco M. Bianco, Mohamed M. Ali, et al.. (2025). Lipidomic profiling of human adiposomes identifies specific lipid shifts linked to obesity and cardiometabolic risk. JCI Insight. 10(12). 1 indexed citations
3.
Masrur, Mario, et al.. (2025). Sleeve Gastrectomy Versus Semaglutide for Weight Loss in a Severely Obese Minority Cohort: A Propensity-Matched Study. Obesity Surgery. 35(3). 852–859. 1 indexed citations
4.
Schlottmann, Francisco, et al.. (2024). Management of Gastroesophageal Reflux Disease after Sleeve Gastrectomy: Effectiveness of Medical, Endoscopic, and Surgical Therapies. Journal of Laparoendoscopic & Advanced Surgical Techniques. 34(7). 581–602. 2 indexed citations
5.
Mangano, Alberto, et al.. (2024). Challenges in management of acute appendicitis: A narrative review. Current Problems in Surgery. 61(11). 101596–101596.
6.
Schlottmann, Francisco, et al.. (2023). Management of Long-Segment Barrett's Esophagus. Journal of Laparoendoscopic & Advanced Surgical Techniques. 33(12). 1201–1210.
7.
Dreifuss, Nicolás H., et al.. (2022). Outcomes of same-day discharge sleeve gastrectomy and Roux-en-Y gastric bypass: a systematic review and meta-analysis. Surgery for Obesity and Related Diseases. 19(3). 238–249. 27 indexed citations
8.
Quadri, Pablo, Lisa Sánchez-Johnsen, Mario Masrur, et al.. (2022). Bariatric Surgery Hospital Readmissions in an Urban Academic Medical Center. Bariatric Surgical Practice and Patient Care. 18(2). 80–84.
9.
Schlottmann, Francisco, et al.. (2022). Gender Disparities in Bariatric Surgery Among African Americans. Obesity Surgery. 32(8). 2820–2822. 3 indexed citations
10.
Sánchez-Johnsen, Lisa, et al.. (2021). Metabolic Surgery Outcomes in U.S. Patients with Class I Obesity. Bariatric Surgical Practice and Patient Care. 16(2). 85–91. 5 indexed citations
11.
Fernandes, Eduardo, Alberto Mangano, Valentina Valle, et al.. (2020). Robotic hepaticojejunostomy: surgical technique and risk factor analysis for anastomotic leak and stenosis. HPB. 22(10). 1442–1449. 8 indexed citations
12.
Mangano, Alberto, Federico Gheza, Antonio Gangemi, et al.. (2019). Robotic-Assisted Roux-en-Y Gastric Bypass: Learning Curve Assessment Using Cumulative Sum and Literature Review. Bariatric Surgical Practice and Patient Care. 14(3). 95–101. 13 indexed citations
13.
Gheza, Federico, et al.. (2018). Snapshot in surgery: How do you approach this 12‐year‐old girl?. Clinical Case Reports. 6(7). 1389–1390. 2 indexed citations
14.
Quadri, Pablo, et al.. (2018). Robotic Adrenalectomy: Are We Expanding the Indications of Minimally Invasive Surgery?. Journal of Laparoendoscopic & Advanced Surgical Techniques. 29(1). 19–23. 7 indexed citations
15.
Daskalaki, Despoina, et al.. (2016). Impact of Obesity on Robot-Assisted Distal Pancreatectomy. Journal of Laparoendoscopic & Advanced Surgical Techniques. 26(7). 551–556. 8 indexed citations
16.
Gonzalez-Heredia, Raquel, et al.. (2016). Does Bariatric Surgery Improve Renal Function?. Bariatric Surgical Practice and Patient Care. 11(1). 6–10. 4 indexed citations
17.
Gonzalez-Heredia, Raquel, et al.. (2015). Is Helicobacter Pylori Associated with an Increased Complication Rate after Sleeve Gastrectomy?. Bariatric Surgical Practice and Patient Care. 10(1). 15–18. 15 indexed citations
18.
Gonzalez-Heredia, Raquel, Neil Patel, Lisa Sánchez-Johnsen, et al.. (2015). Does Age Influence Bariatric Surgery Outcomes?. Bariatric Surgical Practice and Patient Care. 10(2). 74–78. 29 indexed citations
19.
Elli, Enrique F., et al.. (2012). Four-year experience with outpatient laparoscopic adjustable gastric banding. Surgery for Obesity and Related Diseases. 9(5). 693–695. 5 indexed citations
20.
Ayloo, Subhashini, Mario Masrur, Francesco M. Bianco, & Pier Cristoforo Giulianotti. (2011). Robotic Roux-en-Y Duodenojejunostomy for Superior Mesenteric Artery Syndrome: Operative Technique. Journal of Laparoendoscopic & Advanced Surgical Techniques. 21(9). 841–844. 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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