Mariya Malova

38 total papers · 769 total citations
29 papers, 493 citations indexed

About

Mariya Malova is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Neurology. According to data from OpenAlex, Mariya Malova has authored 29 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pediatrics, Perinatology and Child Health, 16 papers in Pulmonary and Respiratory Medicine and 6 papers in Neurology. Recurrent topics in Mariya Malova's work include Neonatal and fetal brain pathology (25 papers), Neonatal Respiratory Health Research (16 papers) and Fetal and Pediatric Neurological Disorders (9 papers). Mariya Malova is often cited by papers focused on Neonatal and fetal brain pathology (25 papers), Neonatal Respiratory Health Research (16 papers) and Fetal and Pediatric Neurological Disorders (9 papers). Mariya Malova collaborates with scholars based in Italy, United States and Netherlands. Mariya Malova's co-authors include Luca A. Ramenghi, Andrea Rossi, Alessandro Parodi, Mariasavina Severino, Giovanni Morana, Andrea Sannia, Domenico Tortora, Laura De Angelis, Valentina Cardiello and Isabella Panfoli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nutrients and American Journal of Neuroradiology.

In The Last Decade

Mariya Malova

26 papers receiving 488 citations

Author Peers

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

Author Last Decade Papers Cites
Mariya Malova 412 251 68 55 43 29 493
Alessandro Parodi 386 0.9× 234 0.9× 75 1.1× 51 0.9× 39 0.9× 26 457
Danilyn M. Angeles 306 0.7× 209 0.8× 45 0.7× 21 0.4× 25 0.6× 35 530
Vera Neubauer 391 0.9× 275 1.1× 43 0.6× 41 0.7× 25 0.6× 45 544
Sudeepta K. Basu 291 0.7× 192 0.8× 50 0.7× 42 0.8× 24 0.6× 28 410
Alexandra Zecic 443 1.1× 249 1.0× 50 0.7× 23 0.4× 12 0.3× 21 514
Masahiko Yonetani 371 0.9× 289 1.2× 91 1.3× 29 0.5× 34 0.8× 24 552
I Mark Hiatt 287 0.7× 283 1.1× 87 1.3× 18 0.3× 52 1.2× 33 456
Lan‐Wan Wang 266 0.6× 161 0.6× 27 0.4× 19 0.3× 17 0.4× 30 483
Jacobus Homan 302 0.7× 188 0.7× 115 1.7× 23 0.4× 14 0.3× 21 408
Heba Elmahdy 294 0.7× 231 0.9× 89 1.3× 105 1.9× 13 0.3× 19 536

Countries citing papers authored by Mariya Malova

Since Specialization
Citations

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

Fields of papers citing papers by Mariya Malova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariya Malova

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