Maria Gerginova

43 total papers · 521 total citations
35 papers, 415 citations indexed

About

Maria Gerginova is a scholar working on Pollution, Molecular Biology and Plant Science. According to data from OpenAlex, Maria Gerginova has authored 35 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pollution, 13 papers in Molecular Biology and 7 papers in Plant Science. Recurrent topics in Maria Gerginova's work include Microbial bioremediation and biosurfactants (16 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and Microbial Community Ecology and Physiology (5 papers). Maria Gerginova is often cited by papers focused on Microbial bioremediation and biosurfactants (16 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and Microbial Community Ecology and Physiology (5 papers). Maria Gerginova collaborates with scholars based in Bulgaria, Belgium and India. Maria Gerginova's co-authors include Zlatka Alexieva, Albert Krastanov, Пламена Златева, Иванка Стоилова, Veselin Stanchev, Н. Шиварова, Ivayla Dincheva, Ekaterina Krumova, V. Beschkov and Kaloyan Petrov and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Enzyme and Microbial Technology.

In The Last Decade

Maria Gerginova

32 papers receiving 401 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Gerginova 210 97 92 79 66 35 415
Olga Marchut-Mikołajczyk 236 1.1× 86 0.9× 104 1.1× 55 0.7× 102 1.5× 28 489
A. A. M. Kunhi 247 1.2× 68 0.7× 91 1.0× 91 1.2× 61 0.9× 25 386
Norman C. Dondero 176 0.8× 52 0.5× 78 0.8× 67 0.8× 52 0.8× 33 438
Zhonghui Gai 194 0.9× 62 0.6× 166 1.8× 58 0.7× 67 1.0× 18 444
Asim Hussain 132 0.6× 52 0.5× 78 0.8× 78 1.0× 91 1.4× 19 480
Amanda Pacholak 233 1.1× 47 0.5× 102 1.1× 76 1.0× 52 0.8× 30 458
V. Arutchelvan 235 1.1× 101 1.0× 55 0.6× 98 1.2× 72 1.1× 17 473
Sunil Kumar Suman 171 0.8× 108 1.1× 80 0.9× 82 1.0× 112 1.7× 19 407
Cintia E. Paisio 161 0.8× 102 1.1× 94 1.0× 149 1.9× 60 0.9× 23 394
Graciela M. L. Ruiz-Aguilar 194 0.9× 112 1.2× 43 0.5× 57 0.7× 62 0.9× 39 451

Countries citing papers authored by Maria Gerginova

Since Specialization
Citations

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

Fields of papers citing papers by Maria Gerginova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Gerginova

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