Ryan Hekman
Impact in
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- Silk-based biomaterials and applications
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- Antimicrobial Peptides and Activities
Papers in
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- Biochemical and Structural Characterization 4
- Metabolomics and Mass Spectrometry Studies 3
- Mitochondrial Function and Pathology 2
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- Silk-based biomaterials and applications 4
- Co-authors
- Andrew Emili (12 shared papers)Craig Vierra (5 shared papers)Benjamin C. Blum (8 shared papers)Caroline G. Williams (3 shared papers)Nabil Rabhi (2 shared papers)Stephen R. Farmer (2 shared papers)Kieran Wynne (1 shared paper)Stephanie Kim (1 shared paper)
- Journals
- International Journal of Molecular Sciences (2 papers)Molecules (2 papers)Biology Open (1 paper)Frontiers in Cardiovascular Medicine (1 paper)Genes (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Ryan Hekman
18 papers receiving 141 citations
Peers
Comparison fields: 5 of 59
- Biomaterials 33
- Microbiology 11
- Molecular Biology 73
- Immunology 13
- Insect Science 8
Countries citing papers authored by Ryan Hekman
This map shows the geographic impact of Ryan Hekman'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 Ryan Hekman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Hekman more than expected).
Fields of papers citing papers by Ryan Hekman
This network shows the impact of papers produced by Ryan Hekman. 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 Ryan Hekman. The network helps show where Ryan Hekman may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Hekman, 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 | 2016 | 21 | |
| 2 | 2020 | 21 | |
| 3 | 2020 | 16 | |
| 4 | 2022 | 16 | |
| 5 | 2019 | 11 | |
| 6 | 2018 | 10 | |
| 7 | 2021 | 8 | |
| 8 | 2020 | 7 | |
| 9 | 2021 | 6 | |
| 10 | 2016 | 5 | |
| 11 | 2021 | 4 | |
| 12 | 2024 | 4 | |
| 13 | 2020 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2024 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2025 | 0 |
About Ryan Hekman
Ryan Hekman is a scholar working on Molecular Biology, Biomaterials, Physiology, Spectroscopy and Infectious Diseases, having authored 19 papers that have together received 142 indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (4 papers), Biochemical and Structural Characterization (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Adipose Tissue and Metabolism (3 papers), Antimicrobial Peptides and Activities (2 papers), Mitochondrial Function and Pathology (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Biomaterials (33 citations), Microbiology (11 citations), Molecular Biology (73 citations), Immunology (13 citations) and Insect Science (8 citations). Ryan Hekman has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Andrew Emili, Craig Vierra, Benjamin C. Blum, Caroline G. Williams, Nabil Rabhi, Stephen R. Farmer, Kieran Wynne, Stephanie Kim, Jennifer J. Schlezinger and Eng Leng Saw. Their work appears in journals such as International Journal of Molecular Sciences, Molecules, Biology Open, Frontiers in Cardiovascular Medicine and Genes.
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.