Wail Nammas

183 total papers · 1.5k total citations
120 papers, 889 citations indexed

About

Wail Nammas is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Wail Nammas has authored 120 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Cardiology and Cardiovascular Medicine, 65 papers in Surgery and 46 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Wail Nammas's work include Coronary Interventions and Diagnostics (49 papers), Cardiac Imaging and Diagnostics (44 papers) and Acute Myocardial Infarction Research (30 papers). Wail Nammas is often cited by papers focused on Coronary Interventions and Diagnostics (49 papers), Cardiac Imaging and Diagnostics (44 papers) and Acute Myocardial Infarction Research (30 papers). Wail Nammas collaborates with scholars based in Finland, Egypt and United Kingdom. Wail Nammas's co-authors include Juhani Airaksinen, Pasi P. Karjalainen, Pasi P. Karjalainen, Antti Ylitalo, Jussi Sia, Matti Niemelä, Hannu Romppanen, Mikko Pietilä, Bernard De Bruyne and Kari Kervinen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Advanced Functional Materials.

In The Last Decade

Wail Nammas

113 papers receiving 857 citations

Author Peers

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

Author						Papers	Cites
Wail Nammas	609	458	217	192	96	120	889
Brian C. Case	534 0.9×	396 0.9×	189 0.9×	150 0.8×	218 2.3×	138	860
Xiaozeng Wang	400 0.7×	353 0.8×	147 0.7×	117 0.6×	93 1.0×	136	876
Masaru Seguchi	436 0.7×	390 0.9×	214 1.0×	269 1.4×	156 1.6×	108	772
Cheng Zhang	388 0.6×	360 0.8×	154 0.7×	170 0.9×	142 1.5×	110	757
Annalisa Mongiardo	493 0.8×	280 0.6×	175 0.8×	163 0.8×	92 1.0×	61	807
Chun‐Chi Chen	501 0.8×	387 0.8×	129 0.6×	250 1.3×	86 0.9×	70	1.0k
Hürkan Kurşaklıoğlu	597 1.0×	281 0.6×	231 1.1×	103 0.5×	138 1.4×	85	930
J. Barmeyer	329 0.5×	339 0.7×	171 0.8×	171 0.9×	40 0.4×	57	700
E Hjelms	390 0.6×	365 0.8×	151 0.7×	225 1.2×	147 1.5×	46	769
Maria Olszowska	559 0.9×	219 0.5×	271 1.2×	150 0.8×	276 2.9×	102	886

Countries citing papers authored by Wail Nammas

Since Specialization

Citations

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

Fields of papers citing papers by Wail Nammas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wail Nammas

This figure shows the co-authorship network connecting the top 25 collaborators of Wail Nammas. A scholar is included among the top collaborators of Wail Nammas 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 Wail Nammas. Wail Nammas 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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