Mark Farrugia

1.2k citations
69 papers · 745 · h-index 15

Impact in

Papers in

Mark Farrugia

63 papers receiving 738 citations

Peers

Mark Farrugia
Comparison fields: 5 of 82
  • Otorhinolaryngology 117
  • Pulmonary and Respiratory Medicine 277
  • Cancer Research 119
  • Oncology 172
  • Radiation 47
Replace Rangesh Kunnavakkam with:
Rangesh Kunnavakkam United States
Michelle Echevarria United States
Moon‐Sing Lee Taiwan
C. Nutting United Kingdom
Shaleen Kumar India
Yanming Jiang China
Jerzy Wydmański Poland
Olgun Eliçin Switzerland
Sandra Ventorin von Zeidler Brazil
Jeffrey Straub United States
Mark Farrugia relative to Rangesh Kunnavakkam United States Rangesh Kunnavakkam's profile →
Citations per field
00.5×4.2×
Rangesh Kunnavakkam · 1×
Citations per year

Countries citing papers authored by Mark Farrugia

Since Specialization
Citations

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

Fields of papers citing papers by Mark Farrugia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Farrugia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Farrugia Line = papers co-authored together Mark Farrugia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201490
2 201649
3 201447
4 199542
5 201535
6 202232
7 201527
8 202327
9 202125
10 202223
11 199720
12 202016
13 202016
14 202116
15 202115
16 200814
17 199714
18 202014
19 200614
20 201612

About Mark Farrugia

Mark Farrugia is a scholar working on Pulmonary and Respiratory Medicine, Otorhinolaryngology, Oncology, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 69 papers that have together received 745 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (22 papers), Lung Cancer Diagnosis and Treatment (13 papers), Oral health in cancer treatment (11 papers), Advanced Radiotherapy Techniques (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Breast Cancer Treatment Studies (7 papers), Cancer Diagnosis and Treatment (6 papers) and Inflammatory Biomarkers in Disease Prognosis (5 papers). The work is most often cited by research in Otorhinolaryngology (117 citations), Pulmonary and Respiratory Medicine (277 citations), Cancer Research (119 citations), Oncology (172 citations) and Radiation (47 citations). Mark Farrugia has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Anurag K. Singh, J. Michael Ruppert, Sung Jun, Mohamad A. Salkeni, Austin J. Iovoli, Sarah L. McLaughlin, Han Yu, Chen‐Chung Lin, Chad J. Creighton and Robert C. Mason. Their work appears in journals such as Cancers, JAMA Network Open, BMC Cancer, International Journal of Radiation Oncology*Biology*Physics and Journal of Clinical Oncology.

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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