Asher Ameli

838 citations
4 papers · 442 · 1 hit paper · h-index 4

Impact in

Papers in

Asher Ameli

4 papers receiving 430 citations

Asher Ameli's Hit Papers

Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19 2020 · 339 citations
3390+2+4Years since publication100200300

Peers

Asher Ameli
Comparison fields: 5 of 97
  • Computational Theory and Mathematics 168
  • Health Informatics 10
  • Infectious Diseases 75
  • Molecular Biology 216
  • Biological Psychiatry 6
Replace Yoonjeong Cha with:
Yoonjeong Cha Israel
J. J. Patten United States
Alejandro Cabrera‐Andrade Ecuador
Minjie Mou China
Simon Lam United Kingdom
Salvatore Alaimo Italy
Fadhl Alakwaa United States
Ksenia Lezhnina United States
Gregory Koytiger United States
Magdalena Zwierzyna United Kingdom
Asher Ameli relative to Yoonjeong Cha Israel Yoonjeong Cha's profile →
Citations per field
00.5×
Yoonjeong Cha · 1×
Citations per year

Countries citing papers authored by Asher Ameli

Since Specialization
Citations

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

Fields of papers citing papers by Asher Ameli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Asher Ameli, 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 Asher Ameli Line = papers co-authored together Asher Ameli links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19
Hit paper breakdown →
2020339
2 202041
3 201832
4 202030

About Asher Ameli

Asher Ameli is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Rheumatology and Computational Theory and Mathematics, having authored 4 papers that have together received 442 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (2 papers), Chronic Lymphocytic Leukemia Research (1 paper), Computational Drug Discovery Methods (1 paper), Nutrition, Genetics, and Disease (1 paper), Inhalation and Respiratory Drug Delivery (1 paper), Asthma and respiratory diseases (1 paper), Neonatal Respiratory Health Research (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Computational Theory and Mathematics (168 citations), Health Informatics (10 citations), Infectious Diseases (75 citations), Molecular Biology (216 citations) and Biological Psychiatry (6 citations). Asher Ameli has collaborated with scholars based in United States, France and Austria. Frequent co-authors include Ítalo Faria do Valle, Susan Dina Ghiassian, Xiao Gan, Onur Varol, Robert A. Davey, Marinka Žitnik, Albert-László Barabási, J. J. Patten, Deisy Morselli Gysi and Joseph Loscalzo. Their work appears in journals such as Scientific Reports, PubMed Central and DOAJ (DOAJ: Directory of Open Access Journals).

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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