Ghada Mkannez

31 total papers · 597 total citations
21 papers, 444 citations indexed

About

Ghada Mkannez is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ghada Mkannez has authored 21 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Public Health, Environmental and Occupational Health, 8 papers in Molecular Biology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ghada Mkannez's work include Research on Leishmaniasis Studies (9 papers), Cardiac Valve Diseases and Treatments (6 papers) and Trypanosoma species research and implications (4 papers). Ghada Mkannez is often cited by papers focused on Research on Leishmaniasis Studies (9 papers), Cardiac Valve Diseases and Treatments (6 papers) and Trypanosoma species research and implications (4 papers). Ghada Mkannez collaborates with scholars based in Tunisia, Canada and France. Ghada Mkannez's co-authors include Marie‐Chloé Boulanger, Patrick Mathieu, Dhafer Laouini, R.M. Sghaier, Yohan Bossé, Fatma Z. Guerfali, Mohamed Jalloul Nsaibia, Fayez Hadji, Yassine Chtourou and Hamadi Fetoui and has published in prestigious journals such as Nucleic Acids Research, International Journal of Molecular Sciences and European Heart Journal.

In The Last Decade

Ghada Mkannez

19 papers receiving 438 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ghada Mkannez	146	112	105	96	60	21	444
Yingli Song	167 1.1×	26 0.2×	60 0.6×	87 0.9×	33 0.6×	25	480
I‐Ta Lee	235 1.6×	64 0.6×	31 0.3×	35 0.4×	29 0.5×	11	436
Geng Dong	145 1.0×	33 0.3×	93 0.9×	139 1.4×	50 0.8×	20	480
Mirthe H. Schoots	72 0.5×	28 0.3×	60 0.6×	48 0.5×	75 1.3×	23	491
Yu‐Hung Lin	195 1.3×	34 0.3×	42 0.4×	47 0.5×	15 0.3×	20	458
Claudia Raggi	165 1.1×	58 0.5×	30 0.3×	107 1.1×	28 0.5×	23	458
Wei Liang	113 0.8×	123 1.1×	14 0.1×	77 0.8×	55 0.9×	26	414
Shen Li	178 1.2×	37 0.3×	50 0.5×	75 0.8×	26 0.4×	26	433
A. Weller	139 1.0×	162 1.4×	14 0.1×	53 0.6×	33 0.6×	15	433
Tai‐Ju Hwang	178 1.2×	34 0.3×	32 0.3×	60 0.6×	92 1.5×	25	487

Countries citing papers authored by Ghada Mkannez

Since Specialization

Citations

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

Fields of papers citing papers by Ghada Mkannez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ghada Mkannez

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

All Works

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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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