John Haliburton
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
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- Single-cell and spatial transcriptomics
- Microbial Metabolic Engineering and Bioproduction
- Plant biochemistry and biosynthesis
- CRISPR and Genetic Engineering
Papers in
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- Single-cell and spatial transcriptomics 5
- Microbial Metabolic Engineering and Bioproduction 2
- Gene Regulatory Network Analysis 2
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- Innovative Microfluidic and Catalytic Techniques Innovation 4
- Biosensors and Analytical Detection 2
- Co-authors
- Adam R. Abate (6 shared papers)Samuel Kim (3 shared papers)Zev J. Gartner (2 shared papers)Payam Shahi (1 shared paper)Freeman Lan (1 shared paper)Jay D. Keasling (1 shared paper)Christopher J. Petzold (1 shared paper)Rossana Chan (1 shared paper)
- Journals
- Scientific Reports (1 paper)Biomicrofluidics (1 paper)Metabolic Engineering (1 paper)Nature Communications (1 paper)Life Science Alliance (1 paper)
- Partner nations
- United States
In The Last Decade
John Haliburton
9 papers receiving 564 citations
Peers
Comparison fields: 5 of 72
- Biophysics 47
- Molecular Biology 445
- Biomedical Engineering 184
- Hematology 46
- Cancer Research 47
Countries citing papers authored by John Haliburton
This map shows the geographic impact of John Haliburton'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 John Haliburton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Haliburton more than expected).
Fields of papers citing papers by John Haliburton
This network shows the impact of papers produced by John Haliburton. 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 John Haliburton. The network helps show where John Haliburton may publish in the future.
Co-authors
The 25 scholars most cited alongside John Haliburton, 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 | 192 | |
| 2 | 2011 | 128 | |
| 3 | 2016 | 74 | |
| 4 | 2022 | 51 | |
| 5 | 2014 | 48 | |
| 6 | 2014 | 40 | |
| 7 | 2020 | 19 | |
| 8 | 2017 | 13 | |
| 9 | 2017 | 8 | |
| 10 | 2021 | 1 |
About John Haliburton
John Haliburton is a scholar working on Molecular Biology, Biomedical Engineering, Genetics, Immunology and Pharmacology, having authored 10 papers that have together received 574 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers), Biosensors and Analytical Detection (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), T-cell and B-cell Immunology (2 papers), Gene Regulatory Network Analysis (2 papers), Electrowetting and Microfluidic Technologies (1 paper) and Microbial Natural Products and Biosynthesis (1 paper). The work is most often cited by research in Biophysics (47 citations), Molecular Biology (445 citations), Biomedical Engineering (184 citations), Hematology (46 citations) and Cancer Research (47 citations). John Haliburton has collaborated with scholars based in United States. Frequent co-authors include Adam R. Abate, Samuel Kim, Zev J. Gartner, Payam Shahi, Freeman Lan, Jay D. Keasling, Christopher J. Petzold, Rossana Chan, Tanveer S. Batth and Swapnil R. Chhabra. Their work appears in journals such as Scientific Reports, Biomicrofluidics, Metabolic Engineering, Nature Communications and Life Science Alliance.
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.