Daniel J. Shiwarski

4.8k citations
41 papers · 3.3k indexed · 1 hit paper · h-index 24
Topics
3D Printing in Biomedical Research (19 papers)Additive Manufacturing and 3D Printing Technologies (14 papers)Innovative Microfluidic and Catalytic Techniques Innovation (6 papers)

In The Last Decade

Daniel J. Shiwarski

40 papers receiving 3.3k citations

Hit Papers

3D bioprinting of collagen to rebuild components of the h...201920262021202320194008001.2k

Peers

Daniel J. Shiwarski
Comparison fields: 5 of 114
  • Biomedical Engineering 2.1k
  • Automotive Engineering 1.1k
  • Molecular Biology 936
  • Surgery 678
  • Biomaterials 463
Replace Duc-Huy T. Nguyen with:
Duc-Huy T. Nguyen United States
Robert M. I. Kapsa Australia
Yuya Morimoto Japan
Thomas C. Trusk United States
Peter A. Galie United States
Wei Song China
Khoon S. Lim New Zealand
Hee‐Gyeong Yi South Korea
Jacqueline Alblas Netherlands
Marco Rasponi Italy
Daniel J. Shiwarski relative to Duc-Huy T. Nguyen United States Duc-Huy T. Nguyen's profile →
Citations per field
00.5×2.7×
Duc-Huy T. Nguyen · 1×
Citations per year

Countries citing papers authored by Daniel J. Shiwarski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Daniel J. Shiwarski

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Shiwarski. A scholar is included among the top collaborators of Daniel J. Shiwarski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel J. Shiwarski. Daniel J. Shiwarski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 17
2 10
3 2
4 48
5 33
6 17
7 38
8 45
9 1
10 158
11 21
12 21
13 17
14 1
15 166
16 45
17 36
18 20
19 83
20 240

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) and Innovative Microfluidic and Catalytic Techniques Innovation (6 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.

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