Sahar Esmaeeli

5.4k total citations
2 papers, 4 citations indexed

About

Sahar Esmaeeli is a scholar working on Molecular Biology, Computational Theory and Mathematics and Aging. According to data from OpenAlex, Sahar Esmaeeli has authored 2 papers receiving a total of 4 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Computational Theory and Mathematics and 1 paper in Aging. Recurrent topics in Sahar Esmaeeli's work include Cell Image Analysis Techniques (1 paper), Pluripotent Stem Cells Research (1 paper) and Computational Drug Discovery Methods (1 paper). Sahar Esmaeeli is often cited by papers focused on Cell Image Analysis Techniques (1 paper), Pluripotent Stem Cells Research (1 paper) and Computational Drug Discovery Methods (1 paper). Sahar Esmaeeli collaborates with scholars based in United States, Ireland and Germany. Sahar Esmaeeli's co-authors include Andrew Singleton, Ameya Kulkarni, Taekyung Kwon, Cyril Y. Ramathal, Sara Bandrés‐Ciga, Jeffrey F. Waring, Joshua D. Stender, Peter Heutink, Peter Reinhardt and Fedik Rahimov and has published in prestigious journals such as PLoS ONE and Nature Reviews Drug Discovery.

In The Last Decade

Sahar Esmaeeli

2 papers receiving 4 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sahar Esmaeeli United States 2 3 1 1 1 1 2 4
Lu Guang China 2 3 1.0× 1 1.0× 2 4
Thu Elizabeth Duong United States 2 3 1.0× 2 6
Xinmiao Yan United States 2 3 1.0× 3 4
Adomas Ladukas Lithuania 2 3 1.0× 3 4
Mehran Monchi France 2 3 1.0× 1 1.0× 4 5
Kamini Prajapati India 1 3 1.0× 1 1.0× 4 5
Salma Magdy Egypt 3 3 1.0× 4 8
Shane Fernandez Australia 2 3 1.0× 5 6
Laura Sieber Germany 1 3 1.0× 2 4
Ivanna Pidruchna United Kingdom 2 3 1.0× 2 5

Countries citing papers authored by Sahar Esmaeeli

Since Specialization
Citations

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

Fields of papers citing papers by Sahar Esmaeeli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sahar Esmaeeli

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

All Works

2 of 2 papers shown
1.
Leonard, Hampton L., Mike A. Nalls, Aaron Day-Williams, et al.. (2024). Open science in precision medicine for neurodegenerative diseases. Nature Reviews Drug Discovery. 23(4). 233–234. 3 indexed citations
2.
Stolzenburg, Lindsay R., Sahar Esmaeeli, Ameya Kulkarni, et al.. (2023). Functional characterization of a single nucleotide polymorphism associated with Alzheimer’s disease in a hiPSC-based neuron model. PLoS ONE. 18(9). e0291029–e0291029. 1 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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