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
- Machine Learning in Bioinformatics 2
- Chemical Synthesis and Analysis 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)Wentao Kong (2 shared papers)Christopher B. Stanley (3 shared papers)Mark J. Arcario (1 shared paper)Hao Qi (1 shared paper)Feng Liu (1 shared paper)
- Journals
- Journal of Cheminformatics (3 papers)BMC Systems Biology (2 papers)Biophysical Journal (2 papers)Cancer Biomarkers (1 paper)The International Journal of High Performance Computing Applications (1 paper)
- Partner nations
- United StatesChinaTürkiye
In The Last Decade
Andrew E. Blanchard
20 papers receiving 476 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 307
- Genetics 124
- Computational Theory and Mathematics 66
- 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 74 | |
| 2 | 2015 | 64 | |
| 3 | 2021 | 50 | |
| 4 | 2016 | 40 | |
| 5 | 2018 | 39 | |
| 6 | 2014 | 32 | |
| 7 | 2016 | 25 | |
| 8 | 2013 | 23 | |
| 9 | 2014 | 19 | |
| 10 | 2022 | 18 | |
| 11 | 2022 | 18 | |
| 12 | 2014 | 16 | |
| 13 | 2018 | 16 | |
| 14 | 2022 | 13 | |
| 15 | 2022 | 10 | |
| 16 | 2023 | 8 | |
| 17 | 2022 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2022 | 3 |
About Andrew E. Blanchard
Andrew E. Blanchard is a scholar working on Molecular Biology, Computational Theory and Mathematics, Sociology and Political Science, Artificial Intelligence and Genetics, having authored 20 papers that have together received 483 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), Evolution and Genetic Dynamics (3 papers), Evolutionary Game Theory and Cooperation (3 papers), Single-cell and spatial transcriptomics (2 papers), Machine Learning in Bioinformatics (2 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Molecular Biology (307 citations), Genetics (124 citations), Computational Theory and Mathematics (66 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, Wentao Kong, Christopher B. Stanley, Mark J. Arcario, Hao Qi, Feng Liu, Klaus Schulten and Emad Tajkhorshid. Their work appears in journals such as Journal of Cheminformatics, BMC Systems Biology, Biophysical Journal, Cancer Biomarkers and The International Journal of High Performance Computing Applications.
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.