Sabina Muend

12 total papers · 1.1k total citations
11 papers, 875 citations indexed

About

Sabina Muend is a scholar working on Molecular Biology, Immunology and Plant Science. According to data from OpenAlex, Sabina Muend has authored 11 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Immunology and 3 papers in Plant Science. Recurrent topics in Sabina Muend's work include Plant-Microbe Interactions and Immunity (2 papers), Immune cells in cancer (2 papers) and Plant Reproductive Biology (2 papers). Sabina Muend is often cited by papers focused on Plant-Microbe Interactions and Immunity (2 papers), Immune cells in cancer (2 papers) and Plant Reproductive Biology (2 papers). Sabina Muend collaborates with scholars based in United States, Czechia and Australia. Sabina Muend's co-authors include Rajini Rao, Yongqiang Zhang, Mingye Feng, Sharon Leitch, Yingyu Wang, Desma M. Grice, Minghui Xiang, Paraic A. Kenny, Sarah J. Roberts‐Thomson and Helen M. Faddy and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Sabina Muend

11 papers receiving 859 citations

Author Peers

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

Author Last Decade Papers Cites
Sabina Muend 416 167 165 158 94 11 875
Nadine Albrecht 307 0.7× 74 0.4× 453 2.7× 98 0.6× 161 1.7× 10 871
M. Mosca 205 0.5× 61 0.4× 141 0.9× 40 0.3× 60 0.6× 16 777
Matteo Ludovici 246 0.6× 219 1.3× 33 0.2× 47 0.3× 29 0.3× 24 969
Justyna B. Startek 258 0.6× 84 0.5× 340 2.1× 29 0.2× 136 1.4× 14 730
Frank Liebel 176 0.4× 67 0.4× 63 0.4× 75 0.5× 18 0.2× 21 1.1k
Cyrus B. Munshi 213 0.5× 141 0.8× 270 1.6× 117 0.7× 12 0.1× 34 1.0k
Rabindranath Chakrabarti 248 0.6× 102 0.6× 32 0.2× 29 0.2× 70 0.7× 22 772
Roberta Lucciarini 357 0.9× 41 0.2× 357 2.2× 14 0.1× 106 1.1× 20 884
Hongli An 467 1.1× 64 0.4× 30 0.2× 60 0.4× 42 0.4× 33 928
Dudley Ferdinando 272 0.7× 153 0.9× 41 0.2× 156 1.0× 45 0.5× 21 757

Countries citing papers authored by Sabina Muend

Since Specialization
Citations

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

Fields of papers citing papers by Sabina Muend

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabina Muend

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