Masoud Sheidai

2.6k total citations
255 papers, 2.0k citations indexed

About

Masoud Sheidai is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Masoud Sheidai has authored 255 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 203 papers in Plant Science, 122 papers in Ecology, Evolution, Behavior and Systematics and 61 papers in Molecular Biology. Recurrent topics in Masoud Sheidai's work include Chromosomal and Genetic Variations (57 papers), Botanical Research and Chemistry (49 papers) and Plant Ecology and Taxonomy Studies (43 papers). Masoud Sheidai is often cited by papers focused on Chromosomal and Genetic Variations (57 papers), Botanical Research and Chemistry (49 papers) and Plant Ecology and Taxonomy Studies (43 papers). Masoud Sheidai collaborates with scholars based in Iran, United States and China. Masoud Sheidai's co-authors include Zahra Noormohammadi, Maryam Keshavarzi, Seyed Mehdi Talebi, Farideh Attar, Abbas Gholipour, Farah Farahani, Omran Alishah, Ahmad Majd, Hossein Riahi and Darab Hassani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Industrial Crops and Products and BMC Plant Biology.

In The Last Decade

Masoud Sheidai

240 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masoud Sheidai Iran 23 1.5k 745 643 334 220 255 2.0k
Wenpan Dong China 24 855 0.6× 1.1k 1.5× 2.2k 3.4× 710 2.1× 147 0.7× 65 2.8k
Jaroslava Ovesná Czechia 26 1.5k 1.0× 123 0.2× 1.1k 1.7× 262 0.8× 154 0.7× 106 2.2k
Anna K. Block United States 29 1.9k 1.3× 261 0.4× 1.1k 1.7× 91 0.3× 85 0.4× 62 2.8k
Jiangjie Lu China 24 871 0.6× 344 0.5× 673 1.0× 276 0.8× 77 0.3× 51 1.4k
Xiurong Zhang China 37 3.1k 2.0× 95 0.1× 1.4k 2.1× 419 1.3× 110 0.5× 85 3.6k
Aiping Song China 36 2.6k 1.7× 187 0.3× 2.2k 3.5× 146 0.4× 65 0.3× 131 3.3k
Maho Tanaka Japan 36 3.6k 2.4× 534 0.7× 2.0k 3.2× 87 0.3× 53 0.2× 76 4.2k
Jian Wu China 35 3.9k 2.5× 241 0.3× 3.2k 5.0× 602 1.8× 64 0.3× 104 4.8k
Chun‐Gen Hu China 28 1.9k 1.3× 133 0.2× 1.5k 2.3× 103 0.3× 59 0.3× 74 2.3k
Guang‐Wan Hu China 23 609 0.4× 656 0.9× 919 1.4× 167 0.5× 200 0.9× 172 1.7k

Countries citing papers authored by Masoud Sheidai

Since Specialization
Citations

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

Fields of papers citing papers by Masoud Sheidai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masoud Sheidai

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

All Works

20 of 20 papers shown
1.
Sheidai, Masoud, Zahra Noormohammadi, & Omran Alishah. (2024). Future cultivation of cotton for industrial use: landscape cytogenetics and species distribution modeling. Genetic Resources and Crop Evolution. 71(8). 4429–4440. 1 indexed citations
2.
Bureš, Petr, Jakub Šmerda, Lucie Horová, et al.. (2023). Evolution of genome size and GC content in the tribe Carduinae (Asteraceae). Preslia. 95(1). 185–213. 11 indexed citations
3.
Sheidai, Masoud, et al.. (2023). Population and landscape genetic studies of indigenous table grapes (Vitis vinifera subsp. vinifera Hegi). Genetic Resources and Crop Evolution. 70(8). 2533–2553. 1 indexed citations
4.
Sheidai, Masoud, et al.. (2023). Spatial PCA and Random Forest Analyses of Spatial Patterns in Genetic Diversity of Calotropis procera. Iranian Journal of Science. 47(3). 707–717.
5.
Sheidai, Masoud, et al.. (2017). Analysis of genetic diversity in Geranium robertianum by ISSR markers. Phytologia Balcanica. 23(2). 157–166. 22 indexed citations
7.
Sheidai, Masoud, et al.. (2016). Looking for Genetic Diversity in Iranian Apple Cultivars (Malus × domestica Borkh.). Journal of sciences, Islamic Republic of Iran. 27(3). 205–215. 2 indexed citations
8.
Assadi, Mostafa, et al.. (2015). A Revision of Alyssum L. Section Gamosepalum (Hausskn.) Dudley (Brassicaceae), in Iran. SHILAP Revista de lepidopterología. 1(2). 65–72. 1 indexed citations
9.
Talebi, Seyed Mehdi, et al.. (2014). Infraspecific variations in Linum album based on the Determination of Special Stations approach in Iran. Phytologia Balcanica. 20(1). 9–22. 3 indexed citations
10.
Talebi, Seyed Mehdi, et al.. (2012). Palynological study of the genus Linum in Iran (a taxonomic review). Phytologia Balcanica. 18(3). 293–303. 8 indexed citations
11.
Sheidai, Masoud, et al.. (2012). Biosystematic studies of Cirsium arvense populations in Iran. Phytologia Balcanica. 18(3). 305–314. 2 indexed citations
12.
Sheidai, Masoud, et al.. (2011). Cytology in Silene: From population diversity to section classification. Acta Biologica Szegediensis. 55(1). 27–39. 4 indexed citations
13.
Noormohammadi, Zahra, et al.. (2011). ISSR, RAPD and agronomic study in some F1 and F2 cotton genotypes. Indian Pediatrics. 55(1). 80–80. 10 indexed citations
14.
Noormohammadi, Zahra, et al.. (2011). Inter simple sequence repeats (ISSR) and random amplified polymorphic DNA (RAPD) analyses of genetic diversity in Mehr cotton cultivar and its crossing progenies. AFRICAN JOURNAL OF BIOTECHNOLOGY. 10(56). 11839–11847. 11 indexed citations
15.
Sheidai, Masoud, Abbas Gholipour, & Zahra Noormohammadi. (2010). Species relationship in the genus Silene L. section Auriculatae (Caryophyllaceae) based on morphology and RAPD analyses.. Acta Biologica Szegediensis. 54(1). 25–31. 9 indexed citations
16.
Sheidai, Masoud, et al.. (2009). Contribution to cytotaxonomy of Silene: chromosome pairing and unreduced pollen grain formation in sec. Sclerocalycinae. Acta Biologica Szegediensis. 53(2). 87–92. 9 indexed citations
17.
Ghahremaninejad, Farrokh, et al.. (2009). Comparative leaf anatomy of the Inula species (Asteraceae: Inuleae) in Iran. 10(2). 230–243. 1 indexed citations
18.
Sheidai, Masoud. (2008). Cytogenetic distinctiveness of sixty-six tetraploid cotton (Gossypium hirsutum L.) cultivars based on meiotic data. Acta Botanica Croatica. 67(2). 209–220. 10 indexed citations
19.
Sheidai, Masoud, et al.. (2008). Cytogenetic variability and new chromosome number reports in Silene L. species (Sect. Lasiostemones, Caryophyllaceae). Acta Biologica Szegediensis. 52(2). 313–319. 32 indexed citations
20.
Sheidai, Masoud, et al.. (2007). Cytotaxonomy of some Festuca species and populations in Iran. Acta Botanica Croatica. 66(2). 143–151. 11 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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