Mădălina Preda

91 total papers · 456 total citations
26 papers, 265 citations indexed

About

Mădălina Preda is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Mădălina Preda has authored 26 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Infectious Diseases and 6 papers in Epidemiology. Recurrent topics in Mădălina Preda's work include Gut microbiota and health (5 papers), Antimicrobial Resistance in Staphylococcus (3 papers) and Antimicrobial agents and applications (3 papers). Mădălina Preda is often cited by papers focused on Gut microbiota and health (5 papers), Antimicrobial Resistance in Staphylococcus (3 papers) and Antimicrobial agents and applications (3 papers). Mădălina Preda collaborates with scholars based in Romania and United States. Mădălina Preda's co-authors include Mircea Ioan Popa, Alina Maria Holban, Mara Mădălina Mihai, Iulia Ioana Lungu, Mónica Cartelle Gestal, Loredana Sabina Cornelia Manolescu, G Popa, Lia-Mara Diţu, Cristian Virgil Lungulescu and Dana Lucia Stănculeanu and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Molecules.

In The Last Decade

Mădălina Preda

18 papers receiving 256 citations

Author Peers

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

Author Last Decade Papers Cites
Mădălina Preda 70 58 43 32 32 26 265
Wenbo Wang 95 1.4× 37 0.6× 36 0.8× 26 0.8× 21 0.7× 21 309
Hongwu Sun 96 1.4× 24 0.4× 30 0.7× 24 0.8× 38 1.2× 20 305
Reza Golmohammadi 66 0.9× 28 0.5× 57 1.3× 46 1.4× 24 0.8× 24 284
Hayati Güneş 71 1.0× 25 0.4× 70 1.6× 29 0.9× 46 1.4× 21 312
Angela Oates 88 1.3× 97 1.7× 20 0.5× 21 0.7× 23 0.7× 17 281
Mohammed Moustapha Anwar 58 0.8× 36 0.6× 15 0.3× 25 0.8× 51 1.6× 12 265
Hassan Mahmood Jindal 85 1.2× 38 0.7× 11 0.3× 22 0.7× 47 1.5× 12 309
Yingying Sun 80 1.1× 15 0.3× 18 0.4× 24 0.8× 24 0.8× 26 303
Karma G. Dolma 76 1.1× 14 0.2× 23 0.5× 25 0.8× 35 1.1× 23 254
Adam Underwood 133 1.9× 10 0.2× 42 1.0× 14 0.4× 17 0.5× 23 328

Countries citing papers authored by Mădălina Preda

Since Specialization
Citations

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

Fields of papers citing papers by Mădălina Preda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mădălina Preda

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