Mamas Mamas

310 total papers · 1.3k total citations
115 papers, 422 citations indexed

About

Mamas Mamas is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mamas Mamas has authored 115 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Cardiology and Cardiovascular Medicine, 47 papers in Surgery and 27 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mamas Mamas's work include Coronary Interventions and Diagnostics (37 papers), Acute Myocardial Infarction Research (27 papers) and Cardiac Imaging and Diagnostics (24 papers). Mamas Mamas is often cited by papers focused on Coronary Interventions and Diagnostics (37 papers), Acute Myocardial Infarction Research (27 papers) and Cardiac Imaging and Diagnostics (24 papers). Mamas Mamas collaborates with scholars based in United Kingdom, United States and Canada. Mamas Mamas's co-authors include Ofer Kobo, Dmitry Abramov, Gregg C. Fonarow, Neal G. Ravindra, Harriette G.C. Van Spall, Javed Butler, Marat Fudim, Marco Metra, Ahmed Sayed and Tauben Averbuch and has published in prestigious journals such as The Lancet, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Mamas Mamas

92 papers receiving 415 citations

Hit Papers

Reversals in the Decline ... 2024 2026 2024 10 20 30 40

Author Peers

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

Author Last Decade Papers Cites
Mamas Mamas 206 114 77 58 42 115 422
Kaveh Hosseini 255 1.2× 125 1.1× 58 0.8× 88 1.5× 62 1.5× 142 446
Burcu Demirkan 256 1.2× 158 1.4× 44 0.6× 62 1.1× 104 2.5× 64 450
Carmine Riccio 274 1.3× 124 1.1× 55 0.7× 38 0.7× 33 0.8× 75 443
Soichiro Ebisawa 268 1.3× 196 1.7× 74 1.0× 70 1.2× 39 0.9× 63 453
Simone Marschner 222 1.1× 51 0.4× 38 0.5× 70 1.2× 38 0.9× 66 475
Uygar Çağdaş Yüksel 326 1.6× 108 0.9× 63 0.8× 97 1.7× 80 1.9× 74 455
Roma Puronaitė 184 0.9× 79 0.7× 50 0.6× 66 1.1× 92 2.2× 51 402
Noman Lateef 263 1.3× 138 1.2× 32 0.4× 63 1.1× 91 2.2× 42 488
Marek Maciejewski 249 1.2× 90 0.8× 36 0.5× 48 0.8× 109 2.6× 56 421
Chia‐Pin Lin 185 0.9× 87 0.8× 36 0.5× 78 1.3× 70 1.7× 61 450

Countries citing papers authored by Mamas Mamas

Since Specialization
Citations

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

Fields of papers citing papers by Mamas Mamas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mamas Mamas

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