Mária Höhn

1.9k citations
60 papers · 564 · h-index 14

Impact in

Papers in

    • Botany and Plant Ecology Studies 22
    • Botanical Studies and Applications 8
    • Genetic diversity and population structure 21

Mária Höhn

54 papers receiving 524 citations

Peers

Mária Höhn
Comparison fields: 5 of 69
  • Nature and Landscape Conservation 96
  • Ecology, Evolution, Behavior and Systematics 143
  • Plant Science 259
  • Genetics 181
  • Ecological Modeling 20
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Mari Rusanen Finland
Shun K. Hirota Japan
Takafumi Ohsawa Japan
Marie‐Hélène Pemonge France
Eyen Khoo Malaysia
Hugh Cross United States
Sándor Bordács Hungary
Jan Hackel United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Mária Höhn

Since Specialization
Citations

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

Fields of papers citing papers by Mária Höhn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mária Höhn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mária Höhn Line = papers co-authored together Mária Höhn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200945
2 201740
3
GIs and Fräuleins: The German-American Encounter in 1950s West Germany
200234
4 201732
5 201725
6 200922
7 201022
8 201921
9 201021
10 201420
11 201517
12 202017
13 201916
14 202116
15 200513
16 202113
17 201313
18 201613
19 201513
20 202311

About Mária Höhn

Mária Höhn is a scholar working on Plant Science, Genetics, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Nature and Landscape Conservation, having authored 60 papers that have together received 564 indexed citations. Recurring topics across this work include Botany and Plant Ecology Studies (22 papers), Genetic diversity and population structure (21 papers), Botanical Studies and Applications (8 papers), Plant Ecology and Taxonomy Studies (7 papers), Ecology and Vegetation Dynamics Studies (6 papers), Lichen and fungal ecology (4 papers), Plant Pathogens and Fungal Diseases (4 papers) and Yeasts and Rust Fungi Studies (4 papers). The work is most often cited by research in Nature and Landscape Conservation (96 citations), Ecology, Evolution, Behavior and Systematics (143 citations), Plant Science (259 citations), Genetics (181 citations) and Ecological Modeling (20 citations). Mária Höhn has collaborated with scholars based in Hungary, Italy and Austria. Frequent co-authors include Giovanni G. Vendramin, A. Pedryc, Matthias Kropf, Félix Gugerli, Francesca Bagnoli, Gy. Bisztray, Levente Hufnágel, Anna Mária Csergő, Zsuzsanna György and Celestino Quintela‐Sabarís. Their work appears in journals such as Journal of Biogeography, Ecology and Evolution, Tree Genetics & Genomes, Central European History and Flora.

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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