Jake Burner
Impact in
- Inorganic Chemistry top 2%
- Metal-Organic Frameworks: Synthesis and Applications
- Zeolite Catalysis and Synthesis
- Process Chemistry and Technology top 10%
Papers in
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- Metal-Organic Frameworks: Synthesis and Applications 7
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- Machine Learning in Materials Science 5
- X-ray Diffraction in Crystallography 3
- Co-authors
- Tom K. Woo (7 shared papers)Karl W. Dawson (1 shared paper)George K. H. Shimizu (1 shared paper)S.S. Iremonger (1 shared paper)Ramanathan Vaidhyanathan (1 shared paper)Nicholas Fylstra (1 shared paper)Farid Akhtar (1 shared paper)Arvind Rajendran (1 shared paper)
In The Last Decade
Jake Burner
11 papers receiving 888 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Inorganic Chemistry 682
- Process Chemistry and Technology 41
- Materials Chemistry 515
- Mechanical Engineering 411
- Catalysis 37
Countries citing papers authored by Jake Burner
This map shows the geographic impact of Jake Burner'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 Jake Burner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jake Burner more than expected).
Fields of papers citing papers by Jake Burner
This network shows the impact of papers produced by Jake Burner. 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 Jake Burner. The network helps show where Jake Burner may publish in the future.
Co-authors
The 25 scholars most cited alongside Jake Burner, 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 | A scalable metal-organic framework as a durable physisorbent for carbon dioxide capture Hit paper breakdown → | 2021 | 675 |
| 2 | 2023 | 89 | |
| 3 | 2020 | 74 | |
| 4 | 2024 | 14 | |
| 5 | 2022 | 14 | |
| 6 | 2025 | 12 | |
| 7 | 2025 | 10 | |
| 8 | 2019 | 5 | |
| 9 | 2019 | 3 | |
| 10 | 2018 | 3 | |
| 11 | 2019 | 3 |
About Jake Burner
Jake Burner is a scholar working on Inorganic Chemistry, Materials Chemistry, Atomic and Molecular Physics, and Optics, Astronomy and Astrophysics and Mechanical Engineering, having authored 11 papers that have together received 902 indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (7 papers), Machine Learning in Materials Science (5 papers), Advanced Chemical Physics Studies (4 papers), X-ray Diffraction in Crystallography (3 papers), Astrophysics and Star Formation Studies (2 papers), Carbon Dioxide Capture Technologies (2 papers), Chemical Thermodynamics and Molecular Structure (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Inorganic Chemistry (682 citations), Process Chemistry and Technology (41 citations), Materials Chemistry (515 citations), Mechanical Engineering (411 citations) and Catalysis (37 citations). Jake Burner has collaborated with scholars based in Canada, France and Sweden. Frequent co-authors include Tom K. Woo, Karl W. Dawson, George K. H. Shimizu, S.S. Iremonger, Ramanathan Vaidhyanathan, Nicholas Fylstra, Farid Akhtar, Arvind Rajendran, Roger K. Mah and Omid Ghaffari Nik. Their work appears in journals such as The Journal of Physical Chemistry A, Journal of the American Chemical Society, Chemical Science, npj Computational Materials and Science.
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.