Jennifer Huling
Impact in
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
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- Tissue Engineering and Regenerative Medicine
Papers in
- Surgery 8
- Tissue Engineering and Regenerative Medicine 8
- Infectious Aortic and Vascular Conditions 2
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- Electrospun Nanofibers in Biomedical Applications 7
- Co-authors
- James J. Yoo (7 shared papers)Anthony Atala (8 shared papers)In Kap Ko (7 shared papers)Sabine Illner (4 shared papers)Mehran Abolbashari (4 shared papers)Niels Grabow (5 shared papers)João Paulo Zambon (3 shared papers)Trairak Pisitkun (1 shared paper)
- Journals
- Acta Biomaterialia (3 papers)The Journal of Urology (2 papers)Journal of the American College of Surgeons (1 paper)Drug Delivery (1 paper)Pharmaceutics (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Jennifer Huling
18 papers receiving 310 citations
Peers
Comparison fields: 5 of 79
- Biomaterials 148
- Surgery 156
- Biomedical Engineering 135
- Automotive Engineering 29
- Nephrology 13
Countries citing papers authored by Jennifer Huling
This map shows the geographic impact of Jennifer Huling'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 Jennifer Huling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Huling more than expected).
Fields of papers citing papers by Jennifer Huling
This network shows the impact of papers produced by Jennifer Huling. 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 Jennifer Huling. The network helps show where Jennifer Huling may publish in the future.
Co-authors
The 25 scholars most cited alongside Jennifer Huling, 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 | 2018 | 48 | |
| 2 | 2014 | 46 | |
| 3 | 2016 | 44 | |
| 4 | 2011 | 27 | |
| 5 | 2019 | 25 | |
| 6 | 2021 | 25 | |
| 7 | 2022 | 22 | |
| 8 | 2020 | 20 | |
| 9 | 2017 | 18 | |
| 10 | 2022 | 14 | |
| 11 | 2021 | 6 | |
| 12 | 2015 | 6 | |
| 13 | 2020 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2014 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2018 | 1 | |
| 18 | 2021 | 1 | |
| 19 | Selecting computer software. Part II: Organizing efforts. | 1987 | 1 |
About Jennifer Huling
Jennifer Huling is a scholar working on Surgery, Biomaterials, Molecular Biology, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 315 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (8 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), Renal and Vascular Pathologies (3 papers), Renal and related cancers (3 papers), Pluripotent Stem Cells Research (2 papers), Infectious Aortic and Vascular Conditions (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Biomaterials (148 citations), Surgery (156 citations), Biomedical Engineering (135 citations), Automotive Engineering (29 citations) and Nephrology (13 citations). Jennifer Huling has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include James J. Yoo, Anthony Atala, In Kap Ko, Sabine Illner, Mehran Abolbashari, Niels Grabow, João Paulo Zambon, Trairak Pisitkun, Ming‐Jiun Yu and Michael Teske. Their work appears in journals such as Acta Biomaterialia, The Journal of Urology, Journal of the American College of Surgeons, Drug Delivery and Pharmaceutics.
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.