Maximilian Nepel

15 total papers · 418 total citations
11 papers, 207 citations indexed

About

Maximilian Nepel is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Plant Science. According to data from OpenAlex, Maximilian Nepel has authored 11 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 8 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Plant Science. Recurrent topics in Maximilian Nepel's work include Insect and Arachnid Ecology and Behavior (8 papers), Plant and animal studies (8 papers) and Mycorrhizal Fungi and Plant Interactions (3 papers). Maximilian Nepel is often cited by papers focused on Insect and Arachnid Ecology and Behavior (8 papers), Plant and animal studies (8 papers) and Mycorrhizal Fungi and Plant Interactions (3 papers). Maximilian Nepel collaborates with scholars based in Austria, France and Germany. Maximilian Nepel's co-authors include Veronika Mayer, Hermann Voglmayr, Jürg Schönenberger, Rumsaïs Blatrix, Dagmar Woebken, Konrad Fiedler, Hannes Schmidt, Craig W. Herbold, Stephanie A. Eichorst and Roey Angel and has published in prestigious journals such as PLoS ONE, Proceedings of the Royal Society B Biological Sciences and Frontiers in Microbiology.

In The Last Decade

Maximilian Nepel

10 papers receiving 203 citations

Author Peers

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

Author Last Decade Papers Cites
Maximilian Nepel 104 100 95 57 49 11 207
Béryl Laitung 84 0.8× 36 0.4× 83 0.9× 61 1.1× 142 2.9× 9 260
Nicky Lustenhouwer 94 0.9× 27 0.3× 106 1.1× 93 1.6× 80 1.6× 11 267
Pervaiz Dar 85 0.8× 41 0.4× 77 0.8× 28 0.5× 70 1.4× 12 206
José Miguel Costa 163 1.6× 32 0.3× 122 1.3× 47 0.8× 69 1.4× 13 279
Bridget J. Piculell 82 0.8× 22 0.2× 218 2.3× 74 1.3× 27 0.6× 6 273
J. Bloem 68 0.7× 24 0.2× 174 1.8× 107 1.9× 96 2.0× 13 292
Éder Cristian Malta de Lanes 78 0.8× 124 1.2× 95 1.0× 23 0.4× 48 1.0× 16 242
Helen M. Gilkey 132 1.3× 10 0.1× 195 2.1× 30 0.5× 46 0.9× 17 260
Marcela Kovařová 84 0.8× 31 0.3× 138 1.5× 41 0.7× 55 1.1× 14 241
Yakiv Didukh 96 0.9× 30 0.3× 136 1.4× 17 0.3× 34 0.7× 16 215

Countries citing papers authored by Maximilian Nepel

Since Specialization
Citations

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

Fields of papers citing papers by Maximilian Nepel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian Nepel

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