Jonathan Willman
Impact in
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- High-pressure geophysics and materials
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- Machine Learning in Materials Science
- Diamond and Carbon-based Materials Research
- X-ray Diffraction in Crystallography
Papers in
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- Epigenetics and DNA Methylation 2
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- Machine Learning in Materials Science 3
- Diamond and Carbon-based Materials Research 2
- Co-authors
- Brandon Lucke‐Wold (10 shared papers)Kien Nguyen-Cong (5 shared papers)Ivan Oleynik (5 shared papers)A. B. Belonoshko (5 shared papers)Aidan P. Thompson (4 shared papers)Mitchell Wood (4 shared papers)Stan Moore (3 shared papers)Rahulkumar Gayatri (1 shared paper)
- Journals
- Autism Research (2 papers)The Journal of Arthroplasty (1 paper)Neurotherapeutics (1 paper)Physical review. B. (1 paper)The Journal of Physical Chemistry Letters (1 paper)
- Partner nations
- United StatesSwedenIran
In The Last Decade
Jonathan Willman
19 papers receiving 234 citations
Peers
Comparison fields: 5 of 82
- Geophysics 31
- Materials Chemistry 78
- Genetics 38
- Metals and Alloys 3
- Developmental Neuroscience 4
Countries citing papers authored by Jonathan Willman
This map shows the geographic impact of Jonathan Willman'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 Jonathan Willman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Willman more than expected).
Fields of papers citing papers by Jonathan Willman
This network shows the impact of papers produced by Jonathan Willman. 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 Jonathan Willman. The network helps show where Jonathan Willman may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Willman, 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 | 2022 | 43 | |
| 2 | 2021 | 34 | |
| 3 | 2020 | 25 | |
| 4 | 2022 | 24 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 13 | |
| 7 | 2022 | 12 | |
| 8 | 2024 | 11 | |
| 9 | 2020 | 9 | |
| 10 | 2023 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2023 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2024 | 1 |
About Jonathan Willman
Jonathan Willman is a scholar working on Molecular Biology, Materials Chemistry, Epidemiology, Geophysics and Neurology, having authored 19 papers that have together received 238 indexed citations. Recurring topics across this work include High-pressure geophysics and materials (4 papers), Genetic Syndromes and Imprinting (3 papers), Machine Learning in Materials Science (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Traumatic Brain Injury Research (2 papers), Epigenetics and DNA Methylation (2 papers) and Diamond and Carbon-based Materials Research (2 papers). The work is most often cited by research in Geophysics (31 citations), Materials Chemistry (78 citations), Genetics (38 citations), Metals and Alloys (3 citations) and Developmental Neuroscience (4 citations). Jonathan Willman has collaborated with scholars based in United States, Sweden and Iran. Frequent co-authors include Brandon Lucke‐Wold, Kien Nguyen-Cong, Ivan Oleynik, A. B. Belonoshko, Aidan P. Thompson, Mitchell Wood, Stan Moore, Rahulkumar Gayatri, Evan Weinberg and Eric Williams. Their work appears in journals such as Autism Research, The Journal of Arthroplasty, Neurotherapeutics, Physical review. B. and The Journal of Physical Chemistry Letters.
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.