Constantinos Prassinos

482 total citations
8 papers, 392 citations indexed

About

Constantinos Prassinos is a scholar working on Molecular Biology, Plant Science and Materials Chemistry. According to data from OpenAlex, Constantinos Prassinos has authored 8 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Plant Science and 1 paper in Materials Chemistry. Recurrent topics in Constantinos Prassinos's work include Plant Molecular Biology Research (5 papers), Plant Reproductive Biology (5 papers) and Plant Gene Expression Analysis (3 papers). Constantinos Prassinos is often cited by papers focused on Plant Molecular Biology Research (5 papers), Plant Reproductive Biology (5 papers) and Plant Gene Expression Analysis (3 papers). Constantinos Prassinos collaborates with scholars based in United States, Greece and Ireland. Constantinos Prassinos's co-authors include Jae‐Heung Ko, Kyung‐Hwan Han, Kyung-Hwan Han, Polydefkis Hatzopoulos, Dimitra Milioni, Jaemo Yang, Theoni Margaritopoulou, Despina Samakovli, Amy Iezzoni and Gregory A. Lang and has published in prestigious journals such as New Phytologist, The Plant Journal and Plant Molecular Biology.

In The Last Decade

Constantinos Prassinos

8 papers receiving 382 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Constantinos Prassinos United States	8	337	274	12	12	12	8	392
Mallorie Taylor‐Teeples United States	6	378 1.1×	364 1.3×	11 0.9×	15 1.3×	4 0.3×	8	473
Munan Lyu Finland	4	386 1.1×	305 1.1×	11 0.9×	6 0.5×	7 0.6×	7	434
Kensuke Kawade Japan	14	541 1.6×	447 1.6×	12 1.0×	5 0.4×	8 0.7×	25	611
Shraboni Ghosh India	10	361 1.1×	156 0.6×	11 0.9×	9 0.8×	3 0.3×	16	418
Ken-ichi Konagaya Japan	12	308 0.9×	289 1.1×	9 0.8×	15 1.3×	4 0.3×	28	414
Vadir Lopéz-Salmerón Germany	9	512 1.5×	349 1.3×	9 0.8×	8 0.7×	6 0.5×	11	562
Jekaterina Truskina Germany	7	415 1.2×	241 0.9×	12 1.0×	44 3.7×	6 0.5×	8	461
Ting Liao China	11	310 0.9×	240 0.9×	37 3.1×	30 2.5×	10 0.8×	29	367
Fandi Ai China	4	191 0.6×	200 0.7×	11 0.9×	19 1.6×	7 0.6×	7	281
Ricardo Mir Spain	11	370 1.1×	197 0.7×	10 0.8×	34 2.8×	5 0.4×	25	407

Countries citing papers authored by Constantinos Prassinos

Since Specialization

Citations

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

Fields of papers citing papers by Constantinos Prassinos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Constantinos Prassinos

This figure shows the co-authorship network connecting the top 25 collaborators of Constantinos Prassinos. A scholar is included among the top collaborators of Constantinos Prassinos 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 Constantinos Prassinos. Constantinos Prassinos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Margaritopoulou, Theoni, et al.. (2016). HSP90 canonical content organizes a molecular scaffold mechanism to progress flowering. The Plant Journal. 87(2). 174–187. 39 indexed citations

Samakovli, Despina, Theoni Margaritopoulou, Constantinos Prassinos, Dimitra Milioni, & Polydefkis Hatzopoulos. (2014). Brassinosteroid nuclear signaling recruits HSP90 activity. New Phytologist. 203(3). 743–757. 49 indexed citations

Prassinos, Constantinos, Stamatis Rigas, Dimosthenis Kizis, Antonia Vlahou, & Polydefkis Hatzopoulos. (2011). Subtle proteome differences identified between post-dormant vegetative and floral peach buds. Journal of Proteomics. 74(5). 607–619. 28 indexed citations

Ko, Jae‐Heung, Constantinos Prassinos, D. E. Keathley, Kyung‐Hwan Han, & Chunyang Li. (2011). Novel aspects of transcriptional regulation in the winter survival and maintenance mechanism of poplar. Tree Physiology. 31(2). 208–225. 38 indexed citations

Prassinos, Constantinos, Jae‐Heung Ko, Gregory A. Lang, Amy Iezzoni, & Kyung-Hwan Han. (2009). Rootstock-induced dwarfing in cherries is caused by differential cessation of terminal meristem growth and is triggered by rootstock-specific gene regulation. Tree Physiology. 29(7). 927–936. 61 indexed citations

Prassinos, Constantinos, et al.. (2008). Complexity of Hsp90 in organelle targeting. Plant Molecular Biology. 67(4). 323–334. 27 indexed citations

Prassinos, Constantinos, Jae‐Heung Ko, Jaemo Yang, & Kyung-Hwan Han. (2005). Transcriptome Profiling of Vertical Stem Segments Provides Insights into the Genetic Regulation of Secondary Growth in Hybrid Aspen Trees. Plant and Cell Physiology. 46(8). 1213–1225. 64 indexed citations

Ko, Jae‐Heung, Constantinos Prassinos, & Kyung‐Hwan Han. (2005). Developmental and seasonal expression of PtaHB1 , a Populus gene encoding a class III HD‐Zip protein, is closely associated with secondary growth and inversely correlated with the level of microRNA ( miR166 ). New Phytologist. 169(3). 469–478. 86 indexed citations

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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