Esmaeil Ebrahimie

4.9k citations
193 papers · 3.4k indexed · h-index 30

Esmaeil Ebrahimie

187 papers receiving 3.3k citations

Peers

Esmaeil Ebrahimie
Comparison fields: 5 of 169
  • Agronomy and Crop Science 344
  • Computer Science Applications 141
  • Plant Science 937
  • Molecular Biology 1.6k
  • Cancer Research 278
Replace Ke Wang with:
Ke Wang China
Bin Zhang China
Ling Li China
Trupti Joshi United States
Han Li China
Mengyao Guo China
Florian Reisinger United Kingdom
John Chilton United States
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Esmaeil Ebrahimie relative to Ke Wang China Ke Wang's profile →
Citations per field
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Citations per year

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

The 25 scholars most cited alongside Esmaeil Ebrahimie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Esmaeil Ebrahimie Line = papers co-authored together Esmaeil Ebrahimie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20245
3 202324
4 20233
5 20223
6 20221
7 20224
8
Comparative study of virulence of Ophiognomonia leptostyla
20202
9 201862
10 20185
11 201810
12 20185
13 201713
14 20171
15
Investigation of some Physiological Indices Related to Frost Damage in Almond Genotypes with Different Flowering Time
20143
16 20131
17
Identification and expression analysis of TLPs as candidate genes promoting the responses to both biotic and abiotic stresses in wheat.
20134
18 201212
19
Are there any differences between features of proteins expressed in malignant and benign breast cancers?
20101
20 20105

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), Plant Molecular Biology Research (13 papers), Plant biochemistry and biosynthesis (12 papers), Plant Stress Responses and Tolerance (12 papers), Genetic and phenotypic traits in livestock (11 papers), RNA modifications and cancer (11 papers) and Plant tissue culture and regeneration (11 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.

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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