Martin Weidenbörner

120 total papers · 916 total citations
38 papers, 686 citations indexed

About

Martin Weidenbörner is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Martin Weidenbörner has authored 38 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 8 papers in Molecular Biology and 8 papers in Cell Biology. Recurrent topics in Martin Weidenbörner's work include Mycotoxins in Agriculture and Food (16 papers), Plant Pathogens and Fungal Diseases (8 papers) and Agriculture, Plant Science, Crop Management (5 papers). Martin Weidenbörner is often cited by papers focused on Mycotoxins in Agriculture and Food (16 papers), Plant Pathogens and Fungal Diseases (8 papers) and Agriculture, Plant Science, Crop Management (5 papers). Martin Weidenbörner collaborates with scholars based in Germany, Portugal and Poland. Martin Weidenbörner's co-authors include Hem Chandra Jha, B. Kunz, H. Hindorf, Heinz Egge, Artur M. S. Silva, José A. S. Cavaleiro, Benno Kunz, Simone Schmitz, Susanne Adams and J. Krämer and has published in prestigious journals such as Phytochemistry, International Journal of Food Microbiology and Journal of Food Protection.

In The Last Decade

Martin Weidenbörner

35 papers receiving 636 citations

Author Peers

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

Author Last Decade Papers Cites
Martin Weidenbörner 491 202 148 130 80 38 686
Milena Cotoras 361 0.7× 188 0.9× 149 1.0× 211 1.6× 72 0.9× 35 701
Daoud Harzallah 249 0.5× 189 0.9× 102 0.7× 121 0.9× 137 1.7× 51 591
Edlayne Gonçalez 537 1.1× 252 1.2× 111 0.8× 176 1.4× 43 0.5× 32 773
Gabriela Sepúlveda‐Jiménez 466 0.9× 186 0.9× 64 0.4× 229 1.8× 59 0.7× 43 720
Yuxin Chen 388 0.8× 370 1.8× 134 0.9× 160 1.2× 48 0.6× 31 736
Emilio Hormazábal 264 0.5× 122 0.6× 118 0.8× 163 1.3× 176 2.2× 32 670
K. A. Raveesha 419 0.9× 255 1.3× 113 0.8× 111 0.9× 28 0.3× 40 745
Irina Ielciu 239 0.5× 164 0.8× 106 0.7× 214 1.6× 58 0.7× 34 653
Congyi Zhu 421 0.9× 95 0.5× 167 1.1× 305 2.3× 118 1.5× 36 673
Maciej Buśko 511 1.0× 169 0.8× 190 1.3× 104 0.8× 34 0.4× 45 700

Countries citing papers authored by Martin Weidenbörner

Since Specialization
Citations

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

Fields of papers citing papers by Martin Weidenbörner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Weidenbörner

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