Basem Azab

3.9k citations
58 papers · 3.0k indexed · 1 hit paper · h-index 22

Basem Azab

57 papers receiving 2.9k citations

Hit Papers

Usefulness of the Neutrophil-to-Lymphocyte Ratio in Predi...4632011202620162021100200300400

Peers

Basem Azab
Comparison fields: 5 of 114
  • Oncology 2.0k
  • Internal Medicine 197
  • Biological Psychiatry 68
  • Cardiology and Cardiovascular Medicine 597
  • Cancer Research 381
Replace Umesh Tamhane with:
Umesh Tamhane United States
Larry W. Kraiss United States
Vito D’Andrea Italy
Hajime Fujimoto Japan
Marianne Brodmann Austria
Sheung‐Fat Ko Taiwan
Joseph T. McGinn United States
James A. Madura United States
Noboru Motomura Japan
Thomas Costantino United States
Basem Azab relative to Umesh Tamhane United States Umesh Tamhane's profile →
Citations per field
00.5×9.7×
Umesh Tamhane · 1×
Citations per year

Countries citing papers authored by Basem Azab

Since Specialization
Citations

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

Fields of papers citing papers by Basem Azab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20226
2 20194
3 20188
4 20183
5 20171
6 201713
7 2014281
8 201428
9 201327
10 201379
11 2013210
12 201238
13 20125
14 2012108
15 2012282
16 20114
17 2011217
18 201195
19 201132
20 200910

About Basem Azab

Basem Azab is a scholar working on Oncology, Cardiology and Cardiovascular Medicine and Gastroenterology, having authored 58 papers that have together received 3.0k indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (17 papers), Pancreatic and Hepatic Oncology Research (6 papers), Acute Myocardial Infarction Research (6 papers), Gastric Cancer Management and Outcomes (5 papers), Cardiac and Coronary Surgery Techniques (5 papers), Cancer Risks and Factors (4 papers), Esophageal Cancer Research and Treatment (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Oncology (2.0k citations), Internal Medicine (197 citations) and Biological Psychiatry (68 citations). Basem Azab has collaborated with scholars based in United States, Canada and Lebanon. Frequent co-authors include Neeraj Shah, Joseph T. McGinn, Warren D. Widmann, Vijaya Raj Bhatt, Emanuela Taioli, Marlene Camacho‐Rivera, Meredith Akerman, Estelle Torbey, Srujitha Murukutla and Terenig Terjanian. Their work appears in journals such as Gastroenterology, Annals of Surgical Oncology, Blood, Journal of Surgical Research and The American Journal of Surgery.

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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