Jennifer Selinski

32 total papers · 1.5k total citations
29 papers, 1.2k citations indexed

About

Jennifer Selinski is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Jennifer Selinski has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 20 papers in Plant Science and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Jennifer Selinski's work include Photosynthetic Processes and Mechanisms (24 papers), Plant Stress Responses and Tolerance (14 papers) and Mitochondrial Function and Pathology (9 papers). Jennifer Selinski is often cited by papers focused on Photosynthetic Processes and Mechanisms (24 papers), Plant Stress Responses and Tolerance (14 papers) and Mitochondrial Function and Pathology (9 papers). Jennifer Selinski collaborates with scholars based in Germany, Australia and China. Jennifer Selinski's co-authors include Renate Scheibe, James Whelan, David A. Day, Andreas Hartmann, Yan Wang, Kollipara Padmasree, Sarada D. Tetali, Abhaypratap Vishwakarma, Oliver Berkowitz and Gabriele Deckers‐Hebestreit and has published in prestigious journals such as The Plant Cell, PLANT PHYSIOLOGY and Biochemical Journal.

In The Last Decade

Jennifer Selinski

26 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Jennifer Selinski 824 821 64 53 47 29 1.2k
Katsuhiro Sakano 673 0.8× 871 1.1× 61 1.0× 73 1.4× 64 1.4× 50 1.3k
Gary C. Harris 763 0.9× 700 0.9× 45 0.7× 33 0.6× 70 1.5× 22 1.1k
Teruhiro Takabe 725 0.9× 1.0k 1.2× 29 0.5× 68 1.3× 80 1.7× 38 1.4k
Henning Tschiersch 754 0.9× 947 1.2× 139 2.2× 30 0.6× 75 1.6× 27 1.3k
Silke Krömer 766 0.9× 624 0.8× 82 1.3× 74 1.4× 57 1.2× 17 982
Go Takeba 927 1.1× 1.1k 1.4× 37 0.6× 41 0.8× 102 2.2× 50 1.4k
Birgit Agne 1.1k 1.3× 579 0.7× 75 1.2× 78 1.5× 105 2.2× 27 1.3k
Jan E. Backhausen 934 1.1× 677 0.8× 54 0.8× 103 1.9× 81 1.7× 26 1.2k
Adrian M. Lennon 666 0.8× 522 0.6× 29 0.5× 57 1.1× 62 1.3× 23 948
Di Wu 510 0.6× 732 0.9× 33 0.5× 54 1.0× 21 0.4× 34 1.0k

Countries citing papers authored by Jennifer Selinski

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Selinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Selinski

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