Esmaeil Ebrahimie

4.9k total citations
193 papers, 3.4k citations indexed

About

Esmaeil Ebrahimie is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Esmaeil Ebrahimie has authored 193 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Molecular Biology, 54 papers in Plant Science and 26 papers in Genetics. Recurrent topics in Esmaeil Ebrahimie's work include Machine Learning in Bioinformatics (18 papers), Plant Gene Expression Analysis (15 papers) and Plant Molecular Biology Research (13 papers). Esmaeil Ebrahimie is often cited by papers focused on Machine Learning in Bioinformatics (18 papers), Plant Gene Expression Analysis (15 papers) and Plant Molecular Biology Research (13 papers). Esmaeil Ebrahimie collaborates with scholars based in Australia, Iran and Germany. Esmaeil Ebrahimie's co-authors include Mansour Ebrahimi, Manijeh Mohammadi‐Dehcheshmeh, Ali Niazi‎, Kiro Petrovski, Mohammad Reza Bakhtiarizadeh, Mahdi Ebrahimi, Morgan Newman, Michael Lardelli, Jiuyong Li and Mohammad Moradi-Shahrbabak and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Esmaeil Ebrahimie

187 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Esmaeil Ebrahimie Australia 30 1.6k 937 443 344 278 193 3.4k
Ke Wang China 38 2.1k 1.3× 2.4k 2.6× 484 1.1× 276 0.8× 88 0.3× 236 4.9k
Trupti Joshi United States 48 2.6k 1.6× 3.5k 3.7× 670 1.5× 277 0.8× 416 1.5× 184 6.7k
Ling Li China 49 3.9k 2.4× 3.7k 3.9× 392 0.9× 113 0.3× 155 0.6× 314 7.6k
John Chilton United States 13 3.0k 1.9× 673 0.7× 499 1.1× 52 0.2× 320 1.2× 21 5.0k
Han Li China 33 1.6k 1.0× 1.3k 1.4× 205 0.5× 75 0.2× 194 0.7× 207 3.9k
Mengyao Guo China 36 1.0k 0.6× 304 0.3× 128 0.3× 440 1.3× 361 1.3× 125 3.6k
Bin Zhang China 33 3.1k 1.9× 370 0.4× 284 0.6× 80 0.2× 1.2k 4.2× 215 5.1k
Hui Liu China 43 2.0k 1.2× 3.3k 3.5× 1.1k 2.6× 319 0.9× 214 0.8× 281 6.2k
Zhenhua Xu China 33 1.5k 0.9× 788 0.8× 451 1.0× 28 0.1× 298 1.1× 71 3.1k
María José Nueda Spain 13 2.6k 1.6× 1.6k 1.7× 653 1.5× 81 0.2× 293 1.1× 24 4.8k

Countries citing papers authored by Esmaeil Ebrahimie

Since Specialization
Citations

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

Fields of papers citing papers by Esmaeil Ebrahimie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Esmaeil Ebrahimie

This figure shows the co-authorship network connecting the top 25 collaborators of Esmaeil Ebrahimie. A scholar is included among the top collaborators of Esmaeil Ebrahimie 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 Esmaeil Ebrahimie. Esmaeil Ebrahimie 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.
Ebrahimie, Esmaeil, et al.. (2024). Machine learning for early detection of plant viruses: Analyzing post-infection electrical signal patterns. SHILAP Revista de lepidopterología. 9. 100668–100668. 3 indexed citations
2.
Spiers, Jereme G., John D. Lee, Trent M. Woodruff, et al.. (2024). A Panel of miRNA Biomarkers Common to Serum and Brain-Derived Extracellular Vesicles Identified in Mouse Model of Amyotrophic Lateral Sclerosis. Molecular Neurobiology. 61(8). 5901–5915. 5 indexed citations
3.
4.
Farhadpour, Mohsen, et al.. (2023). Appraisals on the anticancer properties of Mentha species using bioassays and docking studies. Industrial Crops and Products. 203. 117128–117128. 3 indexed citations
5.
Karami, Akbar, et al.. (2022). The Essential Oil from Oliveria decumbens Vent. (Apiaceae) as Inhibitor of Breast Cancer Cell (MCF-7) Growth. Pharmaceuticals. 16(1). 59–59. 3 indexed citations
6.
Mirhoseini, Seyed Ziaeddin, et al.. (2022). Expression of Serine Biosynthesis Pathway Genes in Breast Muscles of Iranian Native Turkeys with Divergent Feed Efficiency. SHILAP Revista de lepidopterología. 1 indexed citations
7.
Razi, Hooman, et al.. (2022). Further insights into the association of the protein phosphatase gene ABI1 with drought and salinity stress responses in Brassica species. Journal of Plant Biochemistry and Biotechnology. 32(1). 106–120. 4 indexed citations
8.
Javan‐Nikkhah, M., et al.. (2020). Comparative study of virulence of Ophiognomonia leptostyla. SHILAP Revista de lepidopterología. 2 indexed citations
9.
Ricciardelli, Carmela, Tina Bianco‐Miotto, Shalini Jindal, et al.. (2018). The Magnitude of Androgen Receptor Positivity in Breast Cancer Is Critical for Reliable Prediction of Disease Outcome. Clinical Cancer Research. 24(10). 2328–2341. 62 indexed citations
10.
Tahmasebi, Ahmad, et al.. (2018). Global Analysis of Gene Expression and Identification of Modules in Echinacea purpurea Using Systems Biology Approach. SHILAP Revista de lepidopterología. 5 indexed citations
11.
Rafat, Seyed Abbas, et al.. (2018). Transcriptome signature of the lactation process, identified by meta-analysis of microarray and RNA-Seq data. BioTechnologia. 99(2). 153–163. 10 indexed citations
12.
Niazi‎, Ali, et al.. (2018). Assessment of the efficiency of hairy roots induction using soybean, sugar beet and tobacco explants. 6(1). 61–72. 5 indexed citations
13.
Ebrahimie, Esmaeil, et al.. (2017). Gene Ontology-Based Analysis of Zebrafish Omics Data Using the Web Tool Comparative Gene Ontology. Zebrafish. 14(5). 492–494. 13 indexed citations
14.
Ebrahimie, Esmaeil, Ali Niazi‎, Mansour Ebrahimi, et al.. (2017). Systems Biology Analysis of the Key Genes of Surfactin Production in Bacillus subtilis MJ01 (Isolated from Soil Contaminated Oil in South of Iran), Spizizenii, and 168 Isolates. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Shiran, Behrouz, et al.. (2014). Investigation of some Physiological Indices Related to Frost Damage in Almond Genotypes with Different Flowering Time. SHILAP Revista de lepidopterología. 3 indexed citations
16.
Ebrahimie, Esmaeil, et al.. (2013). Bioinformatic Analysis of Saffron (Crocus sativus L.) stigma EST sequences to determining functional genome orientation and gene network. SHILAP Revista de lepidopterología. 1 indexed citations
17.
Niazi‎, Ali, et al.. (2013). Identification and expression analysis of TLPs as candidate genes promoting the responses to both biotic and abiotic stresses in wheat.. Plant Omics. 6(2). 107–115. 4 indexed citations
18.
Bakhtiarizadeh, Mohammad Reza, et al.. (2012). Application of functional genomic information to develop efficient EST-SSRs for the chicken (Gallus gallus). Genetics and Molecular Research. 11(2). 1558–1574. 12 indexed citations
19.
Ebrahimi, Mansour, et al.. (2010). Are there any differences between features of proteins expressed in malignant and benign breast cancers?. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Ebrahimie, Esmaeil, et al.. (2010). Investigating protein features contribute to salt stability of halolysin proteins. SHILAP Revista de lepidopterología. 5 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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