Eva Maria Sehr

33 total papers · 1.2k total citations
21 papers, 882 citations indexed

About

Eva Maria Sehr is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Eva Maria Sehr has authored 21 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 11 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Eva Maria Sehr's work include Chromosomal and Genetic Variations (4 papers), Genetic and Environmental Crop Studies (4 papers) and Genomics and Phylogenetic Studies (4 papers). Eva Maria Sehr is often cited by papers focused on Chromosomal and Genetic Variations (4 papers), Genetic and Environmental Crop Studies (4 papers) and Genomics and Phylogenetic Studies (4 papers). Eva Maria Sehr collaborates with scholars based in Austria, Germany and Uganda. Eva Maria Sehr's co-authors include Javier Agustí, Thomas Greb, Martina Schwarz, Silvia Herold, Reinhard Lehner, Pablo Sánchez, Christine A. Beveridge, Tobias Sieberer, Edward E. Farmer and Karin Ljung and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Plant Journal and Frontiers in Plant Science.

In The Last Decade

Eva Maria Sehr

21 papers receiving 866 citations

Author Peers

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

Author Last Decade Papers Cites
Eva Maria Sehr 694 330 228 56 54 21 882
Carolina Carrizo García 510 0.7× 288 0.9× 225 1.0× 22 0.4× 26 0.5× 40 752
E. Zamski 823 1.2× 399 1.2× 135 0.6× 19 0.3× 58 1.1× 38 957
Leslie Watson 622 0.9× 371 1.1× 366 1.6× 63 1.1× 65 1.2× 30 1.0k
G. Andreas Boeckler 434 0.6× 334 1.0× 260 1.1× 359 6.4× 33 0.6× 11 884
Claudete F. Ruas 584 0.8× 250 0.8× 286 1.3× 36 0.6× 13 0.2× 51 795
C. Gómez-Campo 745 1.1× 497 1.5× 217 1.0× 32 0.6× 32 0.6× 32 974
Eric L. Zeldin 532 0.8× 454 1.4× 140 0.6× 41 0.7× 31 0.6× 19 856
M. Y. Stant 564 0.8× 447 1.4× 613 2.7× 31 0.6× 40 0.7× 20 1.0k
Stephen L. Krebs 755 1.1× 404 1.2× 225 1.0× 30 0.5× 89 1.6× 38 921
Jiasong Meng 393 0.6× 381 1.2× 160 0.7× 37 0.7× 50 0.9× 29 918

Countries citing papers authored by Eva Maria Sehr

Since Specialization
Citations

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

Fields of papers citing papers by Eva Maria Sehr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Maria Sehr. 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 Eva Maria Sehr. The network helps show where Eva Maria Sehr may publish in the future.

Co-authorship network of co-authors of Eva Maria Sehr

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Maria Sehr. A scholar is included among the top collaborators of Eva Maria Sehr 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 Eva Maria Sehr. Eva Maria Sehr 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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