Yasha Ektefaie

611 citations
8 papers · 279 indexed · 1 hit paper · h-index 6
Topics
Tuberculosis Research and Epidemiology (4 papers)Mycobacterium research and diagnosis (4 papers)Genetics, Bioinformatics, and Biomedical Research (2 papers)

In The Last Decade

Yasha Ektefaie

8 papers receiving 268 citations

Hit Papers

Empowering biomedical discovery with AI agents2024202620252024255075

Peers

Yasha Ektefaie
Comparison fields: 5 of 98
  • Artificial Intelligence 80
  • Molecular Biology 70
  • Infectious Diseases 54
  • Epidemiology 48
  • Radiology, Nuclear Medicine and Imaging 40
Replace Yazeed Zoabi with:
Yazeed Zoabi Israel
Abdullahi Umar Ibrahim Cyprus
Pushkala Jayaraman United States
Michael B. Mayhew United States
Zhenyu Yang China
Oskar Wysocki United Kingdom
Mubarak Taiwo Mustapha Cyprus
Zan Armstrong United States
Yohei Sugawara Japan
Hassan Aboul-Ella Egypt
Yasha Ektefaie relative to Yazeed Zoabi Israel Yazeed Zoabi's profile →
Citations per field
00.5×3.5×
Yazeed Zoabi · 1×
Citations per year

Countries citing papers authored by Yasha Ektefaie

Since Specialization
Citations

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

Fields of papers citing papers by Yasha Ektefaie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasha Ektefaie

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 2
2
Empowering biomedical discovery with AI agentsbreakdown →
86
3 14
4 76
5 40
6 32
7 28
8 1

About Yasha Ektefaie

Yasha Ektefaie is a scholar working on Infectious Diseases, Biophysics and Epidemiology, having authored 8 papers that have together received 279 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (4 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). The work is most often cited by research in Health Informatics (25 citations), Applied Microbiology and Biotechnology (7 citations) and Infectious Diseases (54 citations). Yasha Ektefaie has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Maha Farhat, Marinka Žitnik, Ayush Noori, Luca Freschi, Valentina Giunchiglia, Avika Dixit, Isaac S. Kohane, Michael L. Chen, William Yuan and Andrew L. Beam. Their work appears in journals such as Cell, Nature Communications and The Journal of Infectious Diseases.

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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