Katja Schlink

21 total papers · 756 total citations
19 papers, 549 citations indexed

About

Katja Schlink is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Katja Schlink has authored 19 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 8 papers in Molecular Biology and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Katja Schlink's work include Plant-Microbe Interactions and Immunity (6 papers), Phytoplasmas and Hemiptera pathogens (5 papers) and Plant Genetic and Mutation Studies (4 papers). Katja Schlink is often cited by papers focused on Plant-Microbe Interactions and Immunity (6 papers), Phytoplasmas and Hemiptera pathogens (5 papers) and Plant Genetic and Mutation Studies (4 papers). Katja Schlink collaborates with scholars based in Germany, Italy and France. Katja Schlink's co-authors include Cristina‐Maria Vâlcu, Ralf Reski, Stefan A. Rensing, Gabriele Schween, Katrin Janik, Μ. v. Stackelberg, Andrew C. Cuming, Yasuko Kamisugi, David J. Cove and Bettina Hause and has published in prestigious journals such as Nucleic Acids Research, Environmental Pollution and International Journal of Molecular Sciences.

In The Last Decade

Katja Schlink

19 papers receiving 523 citations

Author Peers

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

Author Last Decade Papers Cites
Katja Schlink 394 266 54 49 42 19 549
Bo Tian 372 0.9× 299 1.1× 124 2.3× 15 0.3× 15 0.4× 31 610
Rosa Sánchez‐Lucas 325 0.8× 253 1.0× 54 1.0× 12 0.2× 22 0.5× 26 572
Manuela Casasoli 378 1.0× 178 0.7× 57 1.1× 22 0.4× 87 2.1× 15 600
Raquel González-Fernández 316 0.8× 175 0.7× 52 1.0× 18 0.4× 107 2.5× 23 531
Ying‐Lan Chen 354 0.9× 197 0.7× 17 0.3× 29 0.6× 28 0.7× 17 477
Alberto Iandolino 468 1.2× 289 1.1× 11 0.2× 42 0.9× 49 1.2× 11 567
Gustavo Fermín 399 1.0× 227 0.9× 59 1.1× 45 0.9× 52 1.2× 31 500
Sonia Irigoyen 468 1.2× 260 1.0× 26 0.5× 44 0.9× 8 0.2× 23 596
A. Vecchione 497 1.3× 138 0.5× 83 1.5× 36 0.7× 255 6.1× 25 601
Martha Torres 428 1.1× 220 0.8× 29 0.5× 35 0.7× 78 1.9× 21 550

Countries citing papers authored by Katja Schlink

Since Specialization
Citations

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

Fields of papers citing papers by Katja Schlink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Schlink

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