Sae‐Il Murtada

60 total papers · 975 total citations
32 papers, 525 citations indexed

About

Sae‐Il Murtada is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sae‐Il Murtada has authored 32 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 10 papers in Cardiology and Cardiovascular Medicine and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sae‐Il Murtada's work include Connective tissue disorders research (13 papers), Aortic Disease and Treatment Approaches (9 papers) and Elasticity and Material Modeling (7 papers). Sae‐Il Murtada is often cited by papers focused on Connective tissue disorders research (13 papers), Aortic Disease and Treatment Approaches (9 papers) and Elasticity and Material Modeling (7 papers). Sae‐Il Murtada collaborates with scholars based in United States, Sweden and Netherlands. Sae‐Il Murtada's co-authors include Jay D. Humphrey, Gerhard A. Holzapfel, Martin Kroon, George Tellides, Jacopo Ferruzzi, Alexander W. Caulk, Yuki I. Kawamura, Guangxin Li, Magdalene Yin Lin Ting and Selen Uman and has published in prestigious journals such as Diabetes, Arteriosclerosis Thrombosis and Vascular Biology and Journal of Bone and Mineral Research.

In The Last Decade

Sae‐Il Murtada

31 papers receiving 520 citations

Author Peers

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

Author						Papers	Cites
Sae‐Il Murtada	202	186	148	140	98	32	525
Alexander W. Caulk	94 0.5×	158 0.8×	144 1.0×	88 0.6×	84 0.9×	26	447
Hiroji Akimoto	90 0.4×	235 1.3×	157 1.1×	60 0.4×	168 1.7×	37	473
Dong Kun Lee	62 0.3×	105 0.6×	46 0.3×	44 0.3×	141 1.4×	42	572
Gianluca Lorenzo Perrucci	42 0.2×	90 0.5×	235 1.6×	55 0.4×	111 1.1×	35	533
Zahra Mirzaei	33 0.2×	102 0.5×	159 1.1×	32 0.2×	56 0.6×	32	453
Meredith E. Fay	133 0.7×	140 0.8×	37 0.3×	18 0.1×	39 0.4×	26	578
Stacy B. O’Blenes	61 0.3×	163 0.9×	217 1.5×	30 0.2×	148 1.5×	25	605
Alexandra Gauthier	94 0.5×	173 0.9×	43 0.3×	21 0.1×	63 0.6×	25	574
Maria Sabater‐Lleal	49 0.2×	63 0.3×	90 0.6×	102 0.7×	56 0.6×	33	532
Takeshi Shozawa	21 0.1×	104 0.6×	91 0.6×	57 0.4×	109 1.1×	37	499

Countries citing papers authored by Sae‐Il Murtada

Since Specialization

Citations

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

Fields of papers citing papers by Sae‐Il Murtada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sae‐Il Murtada. 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 Sae‐Il Murtada. The network helps show where Sae‐Il Murtada may publish in the future.

Co-authorship network of co-authors of Sae‐Il Murtada

This figure shows the co-authorship network connecting the top 25 collaborators of Sae‐Il Murtada. A scholar is included among the top collaborators of Sae‐Il Murtada 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 Sae‐Il Murtada. Sae‐Il Murtada 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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