Daniel J. Shiwarski
- Automotive Engineering top 0.5%
- Additive Manufacturing and 3D Printing Technologies 14
- Biomedical Engineering top 1%
- 3D Printing in Biomedical Research 19
- Innovative Microfluidic and Catalytic Techniques Innovation 6
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications 4
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- Neuropeptides and Animal Physiology 5
- Sensory Systems top 5%
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- Receptor Mechanisms and Signaling 6
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- Tissue Engineering and Regenerative Medicine 5
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- Cellular Mechanics and Interactions 4
- Co-authors
- Adam W. FeinbergJoshua W. TashmanAndrew R. HudsonJacqueline M. BlileyThomas J. HintonAndrew LeePhil G. CampbellSaigopalakrishna S. Yerneni
- Journals
- Science (2 papers)Journal of Clinical Investigation (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesGermanySingapore
In The Last Decade
Daniel J. Shiwarski
40 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Automotive Engineering 1.1k
- Biomedical Engineering 2.1k
- Biomaterials 463
- Cellular and Molecular Neuroscience 408
- Sensory Systems 96
Countries citing papers authored by Daniel J. Shiwarski
This map shows the geographic impact of Daniel J. Shiwarski'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 Daniel J. Shiwarski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Shiwarski more than expected).
Fields of papers citing papers by Daniel J. Shiwarski
This network shows the impact of papers produced by Daniel J. Shiwarski. 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 Daniel J. Shiwarski. The network helps show where Daniel J. Shiwarski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel J. Shiwarski, 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 | 2025 | 17 | |
| 2 | 2025 | 10 | |
| 3 | 2025 | 2 | |
| 4 | 2022 | 48 | |
| 5 | 2022 | 33 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 38 | |
| 8 | 2022 | 45 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 158 | |
| 11 | 2021 | 21 | |
| 12 | 2020 | 21 | |
| 13 | 2020 | 17 | |
| 14 | 2020 | 1 | |
| 15 | 2019 | 166 | |
| 16 | 2017 | 45 | |
| 17 | 2017 | 36 | |
| 18 | 2017 | 20 | |
| 19 | 2014 | 83 | |
| 20 | 2012 | 240 |
About Daniel J. Shiwarski
Daniel J. Shiwarski is a scholar working on Automotive Engineering, Biophysics and Cell Biology, having authored 41 papers that have together received 3.3k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (19 papers), Additive Manufacturing and 3D Printing Technologies (14 papers), Innovative Microfluidic and Catalytic Techniques Innovation (6 papers), Receptor Mechanisms and Signaling (6 papers), Tissue Engineering and Regenerative Medicine (5 papers), Neuropeptides and Animal Physiology (5 papers), Cellular Mechanics and Interactions (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). The work is most often cited by research in Automotive Engineering (1.1k citations), Biomedical Engineering (2.1k citations) and Biomaterials (463 citations). Daniel J. Shiwarski has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Adam W. Feinberg, Joshua W. Tashman, Andrew R. Hudson, Jacqueline M. Bliley, Thomas J. Hinton, Andrew Lee, Phil G. Campbell, Saigopalakrishna S. Yerneni, Manojkumar A. Puthenveedu and Rachelle N. Palchesko. Their work appears in journals such as Science, Journal of Clinical Investigation and Nature Communications.
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.