Eric Wei

1.7k citations
5 papers · 161 · h-index 5

Impact in

    • RNA Research and Splicing
    • RNA modifications and cancer
    • Bioinformatics and Genomic Networks
    • Biomedical Text Mining and Ontologies
    • RNA and protein synthesis mechanisms

Papers in

    • Biomedical Text Mining and Ontologies 1
    • Advanced biosensing and bioanalysis techniques 1
    • RNA modifications and cancer 1
    • Transplantation: Methods and Outcomes 1

Eric Wei

5 papers receiving 160 citations

Peers

Eric Wei
Comparison fields: 5 of 46
  • Health Informatics 3
  • Molecular Biology 100
  • Cancer Research 20
  • Transplantation 3
  • Computational Theory and Mathematics 21
Replace Jiwen Xin with:
Jiwen Xin United States
Sarah ElShal Belgium
Corrado Pancotti Italy
Nicolas Sompairac France
Mahfuza Sharmin United States
Bruno Urbero France
Chunhui Cai United States
Shirley Hui Canada
Margaret Duesbury United Kingdom
Mohsen Zakeri United States
Eric Wei relative to Jiwen Xin United States Jiwen Xin's profile →
Citations per field
00.5×1.5×1.9×
Jiwen Xin · 1×
Citations per year

Countries citing papers authored by Eric Wei

Since Specialization
Citations

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

Fields of papers citing papers by Eric Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 201960
2 201744
3 201036
4 202211
5 202010

About Eric Wei

Eric Wei is a scholar working on Molecular Biology, Surgery, Epidemiology, Computational Theory and Mathematics and Neurology, having authored 5 papers that have together received 161 indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper), Biomedical Text Mining and Ontologies (1 paper), Computational Drug Discovery Methods (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Health Informatics (3 citations), Molecular Biology (100 citations), Cancer Research (20 citations), Transplantation (3 citations) and Computational Theory and Mathematics (21 citations). Eric Wei has collaborated with scholars based in United States, Norway and Brazil. Frequent co-authors include Alexander Derry, Margaret Guo, Russ B. Altman, M Snyder, Fereshteh Jahanbani, Morten Rasmussen, Paul Collier, Ishaan Gupta, Hagen Tilgner and Mark Shannon. Their work appears in journals such as Methods, Translational Stroke Research, Genome Research, The Journal of Heart and Lung Transplantation and PubMed.

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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