Jacqueline Dionora

16 total papers · 1.1k total citations
10 papers, 744 citations indexed

About

Jacqueline Dionora is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Jacqueline Dionora has authored 10 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Plant Science and 2 papers in Genetics. Recurrent topics in Jacqueline Dionora's work include Photosynthetic Processes and Mechanisms (5 papers), Plant responses to water stress (4 papers) and Plant Stress Responses and Tolerance (3 papers). Jacqueline Dionora is often cited by papers focused on Photosynthetic Processes and Mechanisms (5 papers), Plant responses to water stress (4 papers) and Plant Stress Responses and Tolerance (3 papers). Jacqueline Dionora collaborates with scholars based in United Kingdom, Philippines and United States. Jacqueline Dionora's co-authors include W. Paul Quick, Anindya Bandyopadhyay, Robert A. Coe, Xiaojia Yin, Akshaya Kumar Biswal, Caspar Chater, Julie E. Gray, Emily Harrison, Erik H. Murchie and Robert S. Caine and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and New Phytologist.

In The Last Decade

Jacqueline Dionora

10 papers receiving 737 citations

Hit Papers

Rice with reduced stomata... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Jacqueline Dionora 592 335 140 66 63 10 744
Akshaya Kumar Biswal 689 1.2× 358 1.1× 112 0.8× 127 1.9× 49 0.8× 23 868
Jennifer Stephens 744 1.3× 385 1.1× 72 0.5× 42 0.6× 41 0.7× 23 860
Jiemeng Xu 497 0.8× 263 0.8× 39 0.3× 77 1.2× 66 1.0× 13 621
Govinal Badiger Bhaskara 705 1.2× 352 1.1× 34 0.2× 31 0.5× 38 0.6× 16 803
Rachael C. Symonds 533 0.9× 230 0.7× 75 0.5× 45 0.7× 33 0.5× 18 768
Hanne Grethe Kirk 519 0.9× 110 0.3× 47 0.3× 71 1.1× 44 0.7× 20 639
Qingzhen Jiang 702 1.2× 373 1.1× 31 0.2× 92 1.4× 24 0.4× 21 817
Shui‐zhang Fei 499 0.8× 297 0.9× 22 0.2× 55 0.8× 72 1.1× 30 628
Shaoyan Zheng 455 0.8× 384 1.1× 25 0.2× 58 0.9× 24 0.4× 20 635
Chisato Masumoto 694 1.2× 529 1.6× 116 0.8× 27 0.4× 35 0.6× 13 867

Countries citing papers authored by Jacqueline Dionora

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Dionora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline Dionora

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