Marwa Daghem

15 papers receiving 363 citations

Hit Papers

Association of Lipoprotein(a) With Atherosclerotic Plaque...20222026202320242022255075

Peers

Marwa Daghem
Comparison fields: 5 of 42
  • Radiology, Nuclear Medicine and Imaging 217
  • Surgery 169
  • Cardiology and Cardiovascular Medicine 139
  • Pulmonary and Respiratory Medicine 112
  • Immunology 40
Replace Byeong Geun Song with:
Byeong Geun Song South Korea
John Bahadorani United States
Yasuto Uchida Japan
Hideharu Akagi Japan
Daisuke Shishikura Australia
Teruyoshi Kihara Japan
Ikuko Teraguchi Japan
Shuji Shibutani Japan
Hesham Refaat Egypt
Oswaldo J. Rodriguez United States
Marwa Daghem relative to Byeong Geun Song South Korea Byeong Geun Song's profile →
Citations per field
00.5×1.6×
Byeong Geun Song · 1×
Citations per year

Countries citing papers authored by Marwa Daghem

Since Specialization
Citations

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

Fields of papers citing papers by Marwa Daghem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marwa Daghem

This figure shows the co-authorship network connecting the top 25 collaborators of Marwa Daghem. A scholar is included among the top collaborators of Marwa Daghem 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 Marwa Daghem. Marwa Daghem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 3
2 2
3 7
4 3
5
Association of Lipoprotein(a) With Atherosclerotic Plaque Progressionbreakdown →
99
6 43
7 4
8 41
9 57
10 24
11 1
12 1
13 36
14 3
15 44

About Marwa Daghem

Marwa Daghem is a scholar working on Radiology, Nuclear Medicine and Imaging, Internal Medicine and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 368 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (11 papers), Cerebrovascular and Carotid Artery Diseases (6 papers) and Medical Imaging Techniques and Applications (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (217 citations), Cardiology and Cardiovascular Medicine (139 citations) and Surgery (169 citations). Marwa Daghem has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Marc R. Dweck, David E. Newby, Rong Bing, Damini Dey, Zahi A. Fayad, Alastair J. Moss, Mhairi Doris, Michelle C. Williams, Philip D Adamson and Jacek Kwieciński. Their work appears in journals such as Journal of the American College of Cardiology, European Heart Journal and British Journal of Pharmacology.

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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