Majed Refai

3.0k citations
58 papers · 2.0k · h-index 24

Impact in

Papers in

Majed Refai

54 papers receiving 1.9k citations

Peers

Majed Refai
Comparison fields: 5 of 78
  • Pulmonary and Respiratory Medicine 1.3k
  • Anesthesiology and Pain Medicine 112
  • Cardiology and Cardiovascular Medicine 325
  • Critical Care and Intensive Care Medicine 32
  • Surgery 242
Replace Francesco Xiumè with:
Francesco Xiumè Italy
Nuria Novoa Spain
Richard D. Page United Kingdom
R. Sudhir Sundaresan United States
F. Joachim Meyer Germany
Etienne Abdelnour‐Berchtold Switzerland
Neil Rasburn United Kingdom
Bedrettin Yıldızeli Türkiye
Wanda M. Popescu United States
Tufik R. Assad United States
Majed Refai relative to Francesco Xiumè Italy Francesco Xiumè's profile →
Citations per field
00.5×1.5×2.2×
Francesco Xiumè · 1×
Citations per year

Countries citing papers authored by Majed Refai

Since Specialization
Citations

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

Fields of papers citing papers by Majed Refai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Majed Refai, 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 Majed Refai Line = papers co-authored together Majed Refai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007118
2 2002117
3 2006111
4 2009106
5 2008104
6 200795
7 200693
8 200492
9 201085
10 200878
11 201276
12 200775
13 200561
14 200254
15 201249
16 200445
17 200244
18 201441
19 201034
20 200931

About Majed Refai

Majed Refai is a scholar working on Pulmonary and Respiratory Medicine, Neurology, Surgery, Cardiology and Cardiovascular Medicine and Oncology, having authored 58 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (24 papers), Pleural and Pulmonary Diseases (10 papers), Myasthenia Gravis and Thymoma (4 papers), Enhanced Recovery After Surgery (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Gastric Cancer Management and Outcomes (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.3k citations), Anesthesiology and Pain Medicine (112 citations), Cardiology and Cardiovascular Medicine (325 citations), Critical Care and Intensive Care Medicine (32 citations) and Surgery (242 citations). Majed Refai has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Alessandro Brunelli, Michele Salati, Armando Sabbatini, Francesco Xiumè, Cecilia Pompili, A Fianchini, Marco Monteverde, Rita Marasco, Laura Socci and Alessandro Borri. Their work appears in journals such as The Annals of Thoracic Surgery, European Journal of Cardio-Thoracic Surgery, CHEST Journal, Journal of Thoracic and Cardiovascular Surgery and Cancers.

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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