Salem Abdessalem

1.4k total citations
17 papers, 193 citations indexed

About

Salem Abdessalem is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Salem Abdessalem has authored 17 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Cardiology and Cardiovascular Medicine and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Salem Abdessalem's work include Cardiovascular Disease and Adiposity (2 papers), COVID-19 Clinical Research Studies (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). Salem Abdessalem is often cited by papers focused on Cardiovascular Disease and Adiposity (2 papers), COVID-19 Clinical Research Studies (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). Salem Abdessalem collaborates with scholars based in Tunisia and France. Salem Abdessalem's co-authors include S. Charfeddine, K. Bouslama, Leïla Abid, Amine Bahloul, Rania Hammami, Jihen Jdidi, S. Kammoun, Rachid Mechmèche, Moncef Feki and Naziha Kaabachi and has published in prestigious journals such as Journal of Hypertension, Cytokine and BMC Infectious Diseases.

In The Last Decade

Salem Abdessalem

15 papers receiving 189 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Salem Abdessalem Tunisia 5 106 67 49 30 24 17 193
Gianluigi Dorelli Italy 9 138 1.3× 28 0.4× 30 0.6× 17 0.6× 41 1.7× 18 250
Wenli Hu China 9 65 0.6× 65 1.0× 43 0.9× 28 0.9× 20 0.8× 30 233
Ariel Bailey United States 10 168 1.6× 88 1.3× 28 0.6× 35 1.2× 30 1.3× 12 267
T. Ueland Norway 5 38 0.4× 62 0.9× 125 2.6× 71 2.4× 60 2.5× 6 292
Simone Turner United Kingdom 4 184 1.7× 114 1.7× 18 0.4× 60 2.0× 15 0.6× 5 257
Eva Fernández-Díaz Spain 6 141 1.3× 75 1.1× 14 0.3× 15 0.5× 9 0.4× 12 204
Shane Smyth Ireland 6 66 0.6× 20 0.3× 26 0.5× 36 1.2× 14 0.6× 19 156
Arneaux Kruger United Kingdom 4 114 1.1× 64 1.0× 11 0.2× 44 1.5× 13 0.5× 4 166
Enyinna L. Nwachuku United States 11 256 2.4× 14 0.2× 49 1.0× 67 2.2× 72 3.0× 36 390
Niels‐Ulrik Korbinian Hartmann Germany 8 103 1.0× 24 0.4× 58 1.2× 55 1.8× 47 2.0× 11 258

Countries citing papers authored by Salem Abdessalem

Since Specialization
Citations

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

Fields of papers citing papers by Salem Abdessalem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salem Abdessalem

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

All Works

17 of 17 papers shown
1.
Abdessalem, Salem, et al.. (2026). New insights into contrast-associated acute kidney injury: the key role of endothelial dysfunction. PubMed. 5. 1582775–1582775.
2.
Tilikete, Caroline, Soumaya Marzouki, S. Charfeddine, et al.. (2024). Exploring the landscape of symptom-specific inflammatory cytokines in post-COVID syndrome patients. BMC Infectious Diseases. 24(1). 1337–1337. 3 indexed citations
3.
Charfeddine, S., Jihen Jdidi, Rania Hammami, et al.. (2021). Long COVID 19 Syndrome: Is It Related to Microcirculation and Endothelial Dysfunction? Insights From TUN-EndCOV Study. Frontiers in Cardiovascular Medicine. 8. 745758–745758. 139 indexed citations
4.
Hammami, Rania, Amine Bahloul, S. Charfeddine, et al.. (2021). IMPACT OF OVERWEIGHT AND OBESITY ON BLOOD PRESSURE CONTROL AMONG HYPERTENSIVE PATIENTS (RESULTS FROM NATURE HTN). Journal of Hypertension. 39(Supplement 1). e339–e339. 3 indexed citations
5.
Kallel, Amani, Salem Abdessalem, Mohamed Sami Mourali, et al.. (2013). 234: Association of the porothrombin 20210GA variant with myocardial infarction in Tunisian population. Archives of Cardiovascular Diseases Supplements. 5(1). 78–78. 2 indexed citations
6.
Kallel, Amani, Salem Abdessalem, Mohamed Sami Mourali, et al.. (2013). Polymorphisms of the NOS3 gene and risk of myocardial infarction in the Tunisian population. Cytokine. 64(3). 646–651. 10 indexed citations
7.
Mourali, Mohamed Sami, Amani Kallel, Salem Abdessalem, et al.. (2012). 059 The C677T mutation of the methylenetetrahydrofolate reductase gene is not associated with the risk of myocardial infarction among Tunisian male patients. Archives of Cardiovascular Diseases Supplements. 4(1). 20–20. 1 indexed citations
8.
Jemaa, Riadh, Amani Kallel, Salem Abdessalem, et al.. (2012). Association between endothelial nitric oxide gene intron 4a4b VNTR polymorphism and plasma homocysteine concentrations in Tunisian male patients with myocardial infarction. Nutrition Research. 32(5). 342–346. 5 indexed citations
9.
Jemaa, Riadh, Amani Kallel, Moncef Feki, et al.. (2012). 295 Influence of endothelial nitric oxide synthase gene polymorphisms (894G>T, -786T>C, 4a4b) in Tunisian patients with myocardial infarction. Archives of Cardiovascular Diseases Supplements. 4(1). 93–94. 1 indexed citations
10.
Kallel, Amani, Salem Abdessalem, Mohamed Sami Mourali, et al.. (2012). Polymorphisms in the CC-chemokine receptor-2 (CCR2) and -5 (CCR5) genes and risk of myocardial infarction among Tunisian male patients. Clinical Biochemistry. 45(6). 420–424. 5 indexed citations
11.
Kallel, Amani, Moncef Feki, Monia Elasmi, et al.. (2011). Association of a DNA polymorphism of the apolipoprotein AI–CIII–AIV gene cluster with myocardial infarction in a Tunisian population. European Journal of Internal Medicine. 22(4). 407–411. 11 indexed citations
12.
Abdessalem, Salem, et al.. (2009). [Assessment of endothelial function reliably predicts the existence and the severity of coronary disease].. PubMed. 87(12). 843–50. 2 indexed citations
13.
Abdessalem, Salem, et al.. (2009). Radial access for concomitant coronary, subclavian and renal artery angioplasty: one case report.. PubMed. 87(10). 709–11. 1 indexed citations
14.
Abdessalem, Salem, et al.. (2009). [Immediate and 12-month outcomes of an interventional reperfusion strategy in acute ST elevation myocardial infarction. Report of 208 successive patients].. PubMed. 87(11). 755–62. 1 indexed citations
15.
Abdessalem, Salem, et al.. (2008). Coronary angiogram video compression adapted to medical imaging applications. PubMed. 2008. 410–413. 2 indexed citations
16.
Abdessalem, Salem, et al.. (2008). Improved Localization of Coronary Stents Based on Image Enhancement. International Journal of Biomedical Science. 212–216. 3 indexed citations
17.
Bouallègue, Ammar, et al.. (2008). Improved localization of coronary stents based on image enhancement.. PubMed. 4(3). 212–6. 4 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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