Jeremy J. Yang
- Molecular Biology top 10%
- Computational Theory and Mathematics top 0.5%
- Astronomy and Astrophysics top 10%
- Materials Chemistry
- Organic Chemistry
- Co-authors
- Tudor I. OpreaCristian BologaOleg UrsuJayme HolmesStephen L. MathiasHarold J. MorowitzGeorge D. CodyJeffrey Knockel
- Topics
- Computational Drug Discovery Methods (14 papers)Bioinformatics and Genomic Networks (9 papers)Biomedical Text Mining and Ontologies (8 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Clinical Oncology
- Partner nations
- United StatesDenmarkSweden
In The Last Decade
Jeremy J. Yang
37 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 155
- Molecular Biology 1.0k
- Computational Theory and Mathematics 734
- Astronomy and Astrophysics 176
- Materials Chemistry 126
- Organic Chemistry 125
Countries citing papers authored by Jeremy J. Yang
This map shows the geographic impact of Jeremy J. Yang'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 Jeremy J. Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeremy J. Yang more than expected).
Fields of papers citing papers by Jeremy J. Yang
This network shows the impact of papers produced by Jeremy J. Yang. 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 Jeremy J. Yang. The network helps show where Jeremy J. Yang may publish in the future.
Co-authorship network of co-authors of Jeremy J. Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy J. Yang. A scholar is included among the top collaborators of Jeremy J. Yang 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 Jeremy J. Yang. Jeremy J. Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 14 | |
| 8 | 50 | |
| 9 | 26 | |
| 10 | 8 | |
| 11 | 8 | |
| 12 | 8 | |
| 13 | 48 | |
| 14 | 121 | |
| 15 | 90 | |
| 16 | 34 | |
| 17 | 6 | |
| 18 | 202 | |
| 19 | 20 | |
| 20 | 57 |
About Jeremy J. Yang
Jeremy J. Yang is a scholar working on Computational Theory and Mathematics, Pharmacology and Molecular Biology, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Bioinformatics and Genomic Networks (9 papers) and Biomedical Text Mining and Ontologies (8 papers). The work is most often cited by research in Computational Theory and Mathematics (734 citations), Modeling and Simulation (79 citations) and Molecular Biology (1.0k citations). Jeremy J. Yang has collaborated with scholars based in United States, Denmark and Sweden. Frequent co-authors include Tudor I. Oprea, Cristian Bologa, Oleg Ursu, Jayme Holmes, Stephen L. Mathias, Harold J. Morowitz, George D. Cody, Jeffrey Knockel, Ðắc-Trung Nguyễn and David Weininger. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Oncology.
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.