Nabil I. Elsheery

3.6k total citations · 2 hit papers
54 papers, 1.9k citations indexed

About

Nabil I. Elsheery is a scholar working on Plant Science, Molecular Biology and Food Science. According to data from OpenAlex, Nabil I. Elsheery has authored 54 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Plant Science, 16 papers in Molecular Biology and 9 papers in Food Science. Recurrent topics in Nabil I. Elsheery's work include Plant Stress Responses and Tolerance (15 papers), Plant-Microbe Interactions and Immunity (6 papers) and Silicon Effects in Agriculture (6 papers). Nabil I. Elsheery is often cited by papers focused on Plant Stress Responses and Tolerance (15 papers), Plant-Microbe Interactions and Immunity (6 papers) and Silicon Effects in Agriculture (6 papers). Nabil I. Elsheery collaborates with scholars based in Egypt, China and Poland. Nabil I. Elsheery's co-authors include Kun‐Fang Cao, Hanan M. El-Hoseiny, Anshu Rastogi, M. Helaly, Hazem M. Kalaji, Marek Živčák, Marián Brestič, Devendra Kumar Chauhan, Durgesh Kumar Tripathi and Saurabh Yadav and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and New Phytologist.

In The Last Decade

Nabil I. Elsheery

52 papers receiving 1.8k citations

Hit Papers

Application of silicon nanoparticles in agriculture 2019 2026 2021 2023 2019 2023 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nabil I. Elsheery Egypt 21 1.3k 373 323 204 147 54 1.9k
Fernando Carlos Gómez-Meriño Mexico 22 1.0k 0.8× 242 0.6× 364 1.1× 102 0.5× 97 0.7× 148 1.5k
Sandeep Arora India 19 1.4k 1.0× 717 1.9× 490 1.5× 175 0.9× 253 1.7× 30 2.1k
Leonardo Lombardini United States 21 1.1k 0.8× 415 1.1× 179 0.6× 155 0.8× 96 0.7× 66 1.7k
Mohamed H. Al‐Whaibi Saudi Arabia 21 2.0k 1.5× 525 1.4× 503 1.6× 88 0.4× 200 1.4× 26 2.6k
Sumira Jan India 20 1.2k 0.9× 139 0.4× 380 1.2× 126 0.6× 73 0.5× 44 1.7k
Mona H. Soliman Egypt 28 2.1k 1.6× 225 0.6× 412 1.3× 107 0.5× 102 0.7× 73 2.7k
Imran Khan China 26 1.7k 1.2× 340 0.9× 298 0.9× 66 0.3× 95 0.6× 60 2.3k
Claudio Inostroza‐Blancheteau Chile 20 1.0k 0.8× 196 0.5× 274 0.8× 79 0.4× 60 0.4× 72 1.3k
Mona F. A. Dawood Egypt 26 1.6k 1.2× 242 0.6× 251 0.8× 66 0.3× 97 0.7× 60 2.0k
Farzaneh Najafi Iran 19 998 0.7× 120 0.3× 223 0.7× 95 0.5× 58 0.4× 78 1.3k

Countries citing papers authored by Nabil I. Elsheery

Since Specialization
Citations

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

Fields of papers citing papers by Nabil I. Elsheery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nabil I. Elsheery. 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 Nabil I. Elsheery. The network helps show where Nabil I. Elsheery may publish in the future.

Co-authorship network of co-authors of Nabil I. Elsheery

This figure shows the co-authorship network connecting the top 25 collaborators of Nabil I. Elsheery. A scholar is included among the top collaborators of Nabil I. Elsheery 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 Nabil I. Elsheery. Nabil I. Elsheery 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.
Elsheery, Nabil I., et al.. (2025). Alleviating the harmful effect of salinity on faba bean plants using selenium nanoparticles. SHILAP Revista de lepidopterología. 12. 100158–100158. 1 indexed citations
2.
Chang, Hui, Honghu Ji, Ruijie Liu, et al.. (2025). Genome‐wide association study reveals significant loci and candidate genes for fruit branch length in upland cotton. The Plant Genome. 18(2). e70041–e70041.
4.
Ma, Xujun, et al.. (2024). Genome-Wide Identification of TLP Gene Family in Populus trichocarpa and Functional Characterization of PtTLP6, Preferentially Expressed in Phloem. International Journal of Molecular Sciences. 25(11). 5990–5990. 2 indexed citations
6.
Li, Libei, Hui Chang, Shuqi Zhao, et al.. (2024). Combining high-throughput deep learning phenotyping and GWAS to reveal genetic variants of fruit branch angle in upland cotton. Industrial Crops and Products. 220. 119180–119180. 7 indexed citations
7.
Peng, Qi, Huajun Zheng, Yuhao Zhang, et al.. (2023). Analysis on driving factors of microbial community succession in Jiuyao of Shaoxing Huangjiu (Chinese yellow rice wine). Food Research International. 172. 113144–113144. 34 indexed citations
8.
Hewedy, Omar A., Nabil I. Elsheery, Ghada Abd‐Elmonsef Mahmoud, et al.. (2023). Jasmonic acid regulates plant development and orchestrates stress response during tough times. Environmental and Experimental Botany. 208. 105260–105260. 76 indexed citations breakdown →
9.
Sun, Zeyi, et al.. (2023). Transcriptome Analysis of 5-Azacytidine-Treated Sphaeropteris lepiferaGametophytes. Tropical Plant Biology. 2 indexed citations
11.
Elsheery, Nabil I., et al.. (2023). Foliar iron and zinc nano-fertilizers enhance growth, mineral uptake, and antioxidant defense in date palm (Phoenix dactylifera L.) seedlings. Folia oecologica. 50(2). 185–195. 4 indexed citations
12.
Teiba, Islam I., et al.. (2023). Microbial Allies in Agriculture: Harnessing Plant Growth-Promoting Microorganisms as Guardians against Biotic and Abiotic Stresses. Horticulturae. 10(1). 12–12. 16 indexed citations
13.
Hewedy, Omar A., et al.. (2022). Plants take action to mitigate salt stress: Ask microbe for help, phytohormones, and genetic approaches. Journal of Water and Land Development. 1–16. 12 indexed citations
14.
Yousef, Ahmed Fathy, Muhammad Moaaz Ali, Hafiz Muhammad Rizwan, et al.. (2021). Effects of light spectrum on morpho-physiological traits of grafted tomato seedlings. PLoS ONE. 16(5). e0250210–e0250210. 22 indexed citations
15.
Swoczyna, Tatiana, Jacek Mojski, Aneta H. Baczewska-Dąbrowska, Hazem M. Kalaji, & Nabil I. Elsheery. (2020). Special issue in honour of Prof. Reto J. Strasser - Can we predict winter survival in plants using chlorophyll a fluorescence?. Photosynthetica. 58(SPECIAL ISSUE). 433–442. 3 indexed citations
16.
El-Hoseiny, Hanan M., M. Helaly, Nabil I. Elsheery, & Shamel M. Alam‐Eldein. (2020). Humic Acid and Boron to Minimize the Incidence of Alternate Bearing and Improve the Productivity and Fruit Quality of Mango Trees. HortScience. 55(7). 1026–1037. 21 indexed citations
17.
Zabochnicka-Świątek, Magdalena, et al.. (2018). Influence of clinoptilolite on the efficiency of heavy metal removal from wastewater by Chlorella vulgaris. Desalination and Water Treatment. 117. 49–57. 3 indexed citations
18.
Metwally, M. A., et al.. (2014). Effect of nanoparticles on biological contamination of in vitro cultures and organogenic regeneration of banana.. Australian Journal of Crop Science. 8(4). 612–624. 98 indexed citations
19.
Omar, Samar, et al.. (2014). In vitro studies on regeneration and transformation of some pomegranate genotypes. Australian Journal of Crop Science. 8(2). 307–316. 2 indexed citations
20.
Liu, Jinwen, et al.. (2013). Enzymatic Properties of Populus α- and β-NAD-ME Recombinant Proteins. International Journal of Molecular Sciences. 14(7). 12994–13004. 2 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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