Esmaeil Ebrahimie
- Molecular Biology top 5%
- Plant Science top 2%
- Genetics top 5%
- Agronomy and Crop Science top 2%
- Cancer Research top 10%
- Co-authors
- Mansour EbrahimiManijeh Mohammadi‐DehcheshmehAli NiaziKiro PetrovskiMohammad Reza BakhtiarizadehMahdi EbrahimiMorgan NewmanMichael Lardelli
- Topics
- Machine Learning in Bioinformatics (18 papers)Plant Gene Expression Analysis (15 papers)Plant Molecular Biology Research (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
In The Last Decade
Esmaeil Ebrahimie
187 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 169
- Molecular Biology 1.6k
- Plant Science 937
- Genetics 443
- Agronomy and Crop Science 344
- Cancer Research 278
Countries citing papers authored by Esmaeil Ebrahimie
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 24 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | Comparative study of virulence of Ophiognomonia leptostyla | 2 |
| 9 | 62 | |
| 10 | 5 | |
| 11 | 10 | |
| 12 | 5 | |
| 13 | 13 | |
| 14 | 1 | |
| 15 | Investigation of some Physiological Indices Related to Frost Damage in Almond Genotypes with Different Flowering Time | 3 |
| 16 | 1 | |
| 17 | Identification and expression analysis of TLPs as candidate genes promoting the responses to both biotic and abiotic stresses in wheat. | 4 |
| 18 | 12 | |
| 19 | Are there any differences between features of proteins expressed in malignant and benign breast cancers? | 1 |
| 20 | 5 |
About Esmaeil Ebrahimie
Esmaeil Ebrahimie is a scholar working on Molecular Biology, Agronomy and Crop Science and Plant Science, having authored 193 papers that have together received 3.4k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (18 papers), Plant Gene Expression Analysis (15 papers) and Plant Molecular Biology Research (13 papers). The work is most often cited by research in Agronomy and Crop Science (344 citations), Computer Science Applications (141 citations) and Plant Science (937 citations). Esmaeil Ebrahimie has collaborated with scholars based in Australia, Iran and Germany. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.