Kai R. Konrad

34 total papers · 2.0k total citations
30 papers, 1.4k citations indexed

About

Kai R. Konrad is a scholar working on Plant Science, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kai R. Konrad has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Plant Science, 16 papers in Molecular Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kai R. Konrad's work include Plant Molecular Biology Research (16 papers), Plant Stress Responses and Tolerance (14 papers) and Plant and Biological Electrophysiology Studies (13 papers). Kai R. Konrad is often cited by papers focused on Plant Molecular Biology Research (16 papers), Plant Stress Responses and Tolerance (14 papers) and Plant and Biological Electrophysiology Studies (13 papers). Kai R. Konrad collaborates with scholars based in Germany, United States and Australia. Kai R. Konrad's co-authors include Rainer Hedrich, M. Rob G. Roelfsema, Tina Romeis, José A. Feijó, Roman Lassig, Petra Dietrich, Michael M. Wudick, Victor Levchenko, Tobias Maierhofer and Zhuo‐Hua Pan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Plant Cell.

In The Last Decade

Kai R. Konrad

30 papers receiving 1.4k citations

Hit Papers

Optogenetics for light co... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Kai R. Konrad 1.1k 682 262 84 69 30 1.4k
Kazuichi Yoshida 475 0.4× 667 1.0× 388 1.5× 62 0.7× 40 0.6× 21 1.2k
Mineo Iseki 494 0.5× 855 1.3× 781 3.0× 82 1.0× 74 1.1× 34 1.3k
Satoshi Fujita 1.0k 0.9× 774 1.1× 141 0.5× 78 0.9× 41 0.6× 31 1.5k
Keith A. Johnson 859 0.8× 422 0.6× 245 0.9× 33 0.4× 29 0.4× 48 1.7k
María Olmedo 549 0.5× 627 0.9× 176 0.7× 28 0.3× 63 0.9× 27 1.4k
Florence Corellou 892 0.8× 973 1.4× 220 0.8× 30 0.4× 66 1.0× 31 1.7k
Leland N. Edmunds 465 0.4× 666 1.0× 449 1.7× 27 0.3× 148 2.1× 56 1.3k
Chi‐Lien Cheng 857 0.8× 880 1.3× 121 0.5× 77 0.9× 165 2.4× 38 1.5k
Shigeru Matsunaga 323 0.3× 632 0.9× 430 1.6× 48 0.6× 73 1.1× 28 1.2k
K. R. Robinson 371 0.3× 754 1.1× 467 1.8× 136 1.6× 93 1.3× 21 1.2k

Countries citing papers authored by Kai R. Konrad

Since Specialization
Citations

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

Fields of papers citing papers by Kai R. Konrad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai R. Konrad. 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 Kai R. Konrad. The network helps show where Kai R. Konrad may publish in the future.

Co-authorship network of co-authors of Kai R. Konrad

This figure shows the co-authorship network connecting the top 25 collaborators of Kai R. Konrad. A scholar is included among the top collaborators of Kai R. Konrad 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 Kai R. Konrad. Kai R. Konrad 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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