Maryam Saeedi

45 total papers · 1.4k total citations
21 papers, 215 citations indexed

About

Maryam Saeedi is a scholar working on Pediatrics, Perinatology and Child Health, Epidemiology and Surgery. According to data from OpenAlex, Maryam Saeedi has authored 21 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pediatrics, Perinatology and Child Health, 5 papers in Epidemiology and 4 papers in Surgery. Recurrent topics in Maryam Saeedi's work include Neonatal Health and Biochemistry (6 papers), Metabolism and Genetic Disorders (3 papers) and Gestational Diabetes Research and Management (3 papers). Maryam Saeedi is often cited by papers focused on Neonatal Health and Biochemistry (6 papers), Metabolism and Genetic Disorders (3 papers) and Gestational Diabetes Research and Management (3 papers). Maryam Saeedi collaborates with scholars based in Iran, Sweden and Australia. Maryam Saeedi's co-authors include David Simmons, Helena Fadl, Yang Cao, Kayvan Mirnia, Ulf Hanson, Ali Shoeibi, Maliheh Kadivar, Helena Strevens, Anders Magnuson and Scott Montgomery and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes Research and Clinical Practice and BMC Pregnancy and Childbirth.

In The Last Decade

Maryam Saeedi

17 papers receiving 208 citations

Hit Papers

Increasing prevalence of ... 2021 2026 2022 2024 2021 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Maryam Saeedi 154 71 68 24 21 21 215
Soheila Akbari 193 1.3× 104 1.5× 66 1.0× 33 1.4× 11 0.5× 19 297
Paola Quaresima 144 0.9× 69 1.0× 131 1.9× 41 1.7× 10 0.5× 22 281
Rasika Herath 169 1.1× 75 1.1× 131 1.9× 100 4.2× 8 0.4× 24 310
Kecia Gaither 120 0.8× 32 0.5× 100 1.5× 31 1.3× 35 1.7× 17 214
Liza Kunz 175 1.1× 92 1.3× 103 1.5× 45 1.9× 10 0.5× 15 293
Fernanda Rodrígues Helmo 102 0.7× 33 0.5× 82 1.2× 61 2.5× 31 1.5× 24 293
Elisabetta Lovati 132 0.9× 53 0.7× 84 1.2× 36 1.5× 15 0.7× 16 269
Veronica Falcone 147 1.0× 114 1.6× 75 1.1× 33 1.4× 11 0.5× 23 246
Paige D. Wartko 176 1.1× 47 0.7× 50 0.7× 62 2.6× 21 1.0× 20 237
Hakan Erenel 153 1.0× 31 0.4× 103 1.5× 45 1.9× 11 0.5× 34 293

Countries citing papers authored by Maryam Saeedi

Since Specialization
Citations

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

Fields of papers citing papers by Maryam Saeedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maryam Saeedi

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