Andrew E. Blanchard
Impact in
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- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- CRISPR and Genetic Engineering
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- Evolution and Genetic Dynamics
- Bacterial Genetics and Biotechnology
Papers in
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- Gene Regulatory Network Analysis 6
- Single-cell and spatial transcriptomics 2
- Chemical Synthesis and Analysis 2
- Machine Learning in Bioinformatics 2
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- Computational Drug Discovery Methods 5
- Co-authors
- Ting Lu (10 shared papers)Chen Liao (4 shared papers)Debsindhu Bhowmik (4 shared papers)Christopher B. Stanley (3 shared papers)Wentao Kong (2 shared papers)Klaus Schulten (1 shared paper)Emad Tajkhorshid (1 shared paper)Mark J. Arcario (1 shared paper)
- Journals
- Journal of Cheminformatics (3 papers)Biophysical Journal (2 papers)BMC Systems Biology (2 papers)Cellular and Molecular Bioengineering (1 paper)ACS Synthetic Biology (1 paper)
- Partner nations
- United StatesChinaTürkiye
In The Last Decade
Andrew E. Blanchard
20 papers receiving 495 citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 302
- Genetics 120
- Computational Theory and Mathematics 67
- Health Informatics 5
- Biophysics 16
Countries citing papers authored by Andrew E. Blanchard
This map shows the geographic impact of Andrew E. Blanchard'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 Andrew E. Blanchard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew E. Blanchard more than expected).
Fields of papers citing papers by Andrew E. Blanchard
This network shows the impact of papers produced by Andrew E. Blanchard. 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 Andrew E. Blanchard. The network helps show where Andrew E. Blanchard may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew E. Blanchard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 76 | |
| 2 | 2015 | 66 | |
| 3 | 2021 | 53 | |
| 4 | 2016 | 40 | |
| 5 | 2018 | 40 | |
| 6 | 2014 | 32 | |
| 7 | 2016 | 25 | |
| 8 | 2013 | 23 | |
| 9 | 2022 | 21 | |
| 10 | 2014 | 20 | |
| 11 | 2022 | 20 | |
| 12 | 2014 | 16 | |
| 13 | 2018 | 16 | |
| 14 | 2022 | 13 | |
| 15 | 2022 | 10 | |
| 16 | 2023 | 10 | |
| 17 | 2022 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2022 | 5 |
About Andrew E. Blanchard
Andrew E. Blanchard is a scholar working on Molecular Biology, Computational Theory and Mathematics, Artificial Intelligence, Biomedical Engineering and Materials Chemistry, having authored 21 papers that have together received 502 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (6 papers), Computational Drug Discovery Methods (5 papers), Machine Learning in Materials Science (3 papers), Single-cell and spatial transcriptomics (2 papers), Chemical Synthesis and Analysis (2 papers), Machine Learning in Bioinformatics (2 papers), Evolutionary Game Theory and Cooperation (2 papers) and Mathematical Biology Tumor Growth (1 paper). The work is most often cited by research in Molecular Biology (302 citations), Genetics (120 citations), Computational Theory and Mathematics (67 citations), Health Informatics (5 citations) and Biophysics (16 citations). Andrew E. Blanchard has collaborated with scholars based in United States, China and Türkiye. Frequent co-authors include Ting Lu, Chen Liao, Debsindhu Bhowmik, Christopher B. Stanley, Wentao Kong, Klaus Schulten, Emad Tajkhorshid, Mark J. Arcario, Feng Liu and Hao Qi. Their work appears in journals such as Journal of Cheminformatics, Biophysical Journal, BMC Systems Biology, Cellular and Molecular Bioengineering and ACS Synthetic Biology.
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.