Diaan Jamar

23 total papers · 858 total citations
19 papers, 643 citations indexed

About

Diaan Jamar is a scholar working on Plant Science, Molecular Biology and Ecology. According to data from OpenAlex, Diaan Jamar has authored 19 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 11 papers in Molecular Biology and 2 papers in Ecology. Recurrent topics in Diaan Jamar's work include Plant tissue culture and regeneration (9 papers), Plant Stress Responses and Tolerance (5 papers) and Plant nutrient uptake and metabolism (4 papers). Diaan Jamar is often cited by papers focused on Plant tissue culture and regeneration (9 papers), Plant Stress Responses and Tolerance (5 papers) and Plant nutrient uptake and metabolism (4 papers). Diaan Jamar collaborates with scholars based in Netherlands, United States and Germany. Diaan Jamar's co-authors include Dick Vreugdenhil, Frans A. Krens, Laurentius A. C. J. Voesenek, Rashmi Sasidharan, Gwendal Cueff, Johannes Hanson, Henk W. M. Hilhorst, Leónie Bentsink, L.H.W. van der Plas and Bas J. W. Dekkers and has published in prestigious journals such as New Phytologist, The Plant Journal and Journal of Experimental Botany.

In The Last Decade

Diaan Jamar

19 papers receiving 613 citations

Author Peers

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

Author						Papers	Cites
Diaan Jamar	575	266	53	51	50	19	643
Consuelo Montesinos	526 0.9×	419 1.6×	41 0.8×	19 0.4×	26 0.5×	14	764
Yinan Yuan	494 0.9×	449 1.7×	49 0.9×	22 0.4×	62 1.2×	25	746
A. Van Laere	491 0.9×	161 0.6×	89 1.7×	30 0.6×	18 0.4×	16	766
Peng‐Wen Chen	553 1.0×	194 0.7×	57 1.1×	38 0.7×	24 0.5×	18	644
Lihong Tian	488 0.8×	293 1.1×	45 0.8×	11 0.2×	41 0.8×	20	622
Carmen Espinoza	671 1.2×	416 1.6×	19 0.4×	15 0.3×	22 0.4×	16	757
Pyung-Ok Lim	371 0.6×	361 1.4×	28 0.5×	22 0.4×	69 1.4×	22	569
Zeyu Xin	623 1.1×	288 1.1×	12 0.2×	44 0.9×	61 1.2×	24	759
Mirian Perez Maluf	356 0.6×	399 1.5×	58 1.1×	45 0.9×	49 1.0×	32	748
Ankush Ashok Saddhe	452 0.8×	208 0.8×	20 0.4×	56 1.1×	20 0.4×	17	606

Countries citing papers authored by Diaan Jamar

Since Specialization

Citations

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

Fields of papers citing papers by Diaan Jamar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diaan Jamar

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