Magdolna Droppa

53 total papers · 1.2k total citations
44 papers, 938 citations indexed

About

Magdolna Droppa is a scholar working on Molecular Biology, Plant Science and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Magdolna Droppa has authored 44 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 26 papers in Plant Science and 10 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Magdolna Droppa's work include Photosynthetic Processes and Mechanisms (38 papers), Plant Stress Responses and Tolerance (14 papers) and Spectroscopy and Quantum Chemical Studies (10 papers). Magdolna Droppa is often cited by papers focused on Photosynthetic Processes and Mechanisms (38 papers), Plant Stress Responses and Tolerance (14 papers) and Spectroscopy and Quantum Chemical Studies (10 papers). Magdolna Droppa collaborates with scholars based in Hungary, United States and Israel. Magdolna Droppa's co-authors include Gábor Horváth, Gábor Horväth, Jonathan B. Marder, Tibor Farkas, S. Demeter, Norman Terry, Jiří Masojídek, Anastasios Melis, Ákos Horváth and László Vı́gh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLANT PHYSIOLOGY and Biochemical Journal.

In The Last Decade

Magdolna Droppa

44 papers receiving 907 citations

Author Peers

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

Author Last Decade Papers Cites
Magdolna Droppa 585 561 146 119 91 44 938
Maciej Garstka 646 1.1× 461 0.8× 81 0.6× 104 0.9× 53 0.6× 39 905
Anelia G. Dobrikova 462 0.8× 800 1.4× 81 0.6× 95 0.8× 131 1.4× 51 1.1k
Gábor Horváth 936 1.6× 724 1.3× 252 1.7× 175 1.5× 37 0.4× 49 1.2k
Cristina Pagliano 600 1.0× 479 0.9× 117 0.8× 46 0.4× 94 1.0× 34 1.0k
George Hoch 542 0.9× 308 0.5× 144 1.0× 158 1.3× 39 0.4× 27 1.0k
W. Draber 638 1.1× 278 0.5× 152 1.0× 127 1.1× 82 0.9× 41 986
Kiyoshi Sugahara 523 0.9× 797 1.4× 76 0.5× 91 0.8× 45 0.5× 31 1.2k
G. S. Singhal 550 0.9× 600 1.1× 70 0.5× 162 1.4× 25 0.3× 61 1.2k
Ottó Zsíros 854 1.5× 468 0.8× 199 1.4× 186 1.6× 40 0.4× 44 1.2k
Dorothea Siefermann‐Harms 709 1.2× 447 0.8× 108 0.7× 102 0.9× 22 0.2× 22 1.1k

Countries citing papers authored by Magdolna Droppa

Since Specialization
Citations

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

Fields of papers citing papers by Magdolna Droppa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magdolna Droppa

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