Danielle M. Stevens

32 total papers · 978 total citations
15 papers, 627 citations indexed

About

Danielle M. Stevens is a scholar working on Plant Science, Molecular Biology and Immunology. According to data from OpenAlex, Danielle M. Stevens has authored 15 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 4 papers in Molecular Biology and 2 papers in Immunology. Recurrent topics in Danielle M. Stevens's work include Plant-Microbe Interactions and Immunity (9 papers), Plant Pathogenic Bacteria Studies (8 papers) and Plant Parasitism and Resistance (3 papers). Danielle M. Stevens is often cited by papers focused on Plant-Microbe Interactions and Immunity (9 papers), Plant Pathogenic Bacteria Studies (8 papers) and Plant Parasitism and Resistance (3 papers). Danielle M. Stevens collaborates with scholars based in United States, Germany and Finland. Danielle M. Stevens's co-authors include Gitta Coaker, Matteo Citterico, Michael Wrzaczek, Sachie Kimura, Signe Lolle, Alexandra J. Weisberg, Jeff H. Chang, Shree Prasad Thapa, Allison Creason and Elizabeth A. Savory and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Danielle M. Stevens

15 papers receiving 623 citations

Hit Papers

Stress-induced reactive o... 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Danielle M. Stevens 530 176 60 28 26 15 627
Shugang Hui 415 0.8× 207 1.2× 37 0.6× 32 1.1× 36 1.4× 22 554
Ming-Yan Cheung 650 1.2× 311 1.8× 52 0.9× 32 1.1× 21 0.8× 19 759
Xiaohui Zhang 593 1.1× 277 1.6× 53 0.9× 13 0.5× 20 0.8× 20 708
Anupama Ghosh 580 1.1× 260 1.5× 164 2.7× 30 1.1× 18 0.7× 15 724
Violetta Katarzyna Macioszek 599 1.1× 247 1.4× 89 1.5× 29 1.0× 13 0.5× 17 709
Jamil Chowdhury 553 1.0× 202 1.1× 63 1.1× 9 0.3× 15 0.6× 11 635
Elizabeth K. Brauer 580 1.1× 216 1.2× 85 1.4× 20 0.7× 8 0.3× 22 656
Trent Newman 399 0.8× 575 3.3× 54 0.9× 21 0.8× 27 1.0× 16 788
Arsheed H. Sheikh 596 1.1× 362 2.1× 43 0.7× 31 1.1× 8 0.3× 25 721
Sandhya Rawat 707 1.3× 223 1.3× 105 1.8× 38 1.4× 14 0.5× 12 784

Countries citing papers authored by Danielle M. Stevens

Since Specialization
Citations

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

Fields of papers citing papers by Danielle M. Stevens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle M. Stevens. 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 Danielle M. Stevens. The network helps show where Danielle M. Stevens may publish in the future.

Co-authorship network of co-authors of Danielle M. Stevens

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle M. Stevens. A scholar is included among the top collaborators of Danielle M. Stevens 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 Danielle M. Stevens. Danielle M. Stevens 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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