Jonathan K. Pokorski

4.6k citations
94 papers · 3.6k indexed · 1 hit paper · h-index 32
Topics
Electrospun Nanofibers in Biomedical Applications (18 papers)Bacteriophages and microbial interactions (15 papers)3D Printing in Biomedical Research (10 papers)

In The Last Decade

Jonathan K. Pokorski

90 papers receiving 3.6k citations

Hit Papers

COVID-19 vaccine development and a potential nanomaterial...20202026202220242020100200300400

Peers

Jonathan K. Pokorski
Comparison fields: 5 of 150
  • Molecular Biology 1.2k
  • Biomedical Engineering 949
  • Biomaterials 727
  • Organic Chemistry 488
  • Ecology 460
Replace Kai Zhao with:
Kai Zhao China
Avi Schroeder Israel
Alexandra Correia Finland
Ana Jaklenec United States
David Putnam United States
Daniel G. Anderson United States
Aliasger K. Salem United States
Takami Akagi Japan
James N. Culver United States
Jingxiu Bi China
Jonathan K. Pokorski relative to Kai Zhao China Kai Zhao's profile →
Citations per field
00.5×2.7×
Kai Zhao · 1×
Citations per year

Countries citing papers authored by Jonathan K. Pokorski

Since Specialization
Citations

This map shows the geographic impact of Jonathan K. Pokorski'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 K. Pokorski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan K. Pokorski more than expected).

Fields of papers citing papers by Jonathan K. Pokorski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan K. Pokorski. 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 K. Pokorski. The network helps show where Jonathan K. Pokorski may publish in the future.

Co-authorship network of co-authors of Jonathan K. Pokorski

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan K. Pokorski. A scholar is included among the top collaborators of Jonathan K. Pokorski 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 Jonathan K. Pokorski. Jonathan K. Pokorski 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
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2 0
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4 2
5 20
6 2
7 37
8 2
9 7
10 21
11 104
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COVID-19 vaccine development and a potential nanomaterial path forwardbreakdown →
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14 26
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About Jonathan K. Pokorski

Jonathan K. Pokorski is a scholar working on Biomaterials, Biotechnology and Pharmaceutical Science, having authored 94 papers that have together received 3.6k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (18 papers), Bacteriophages and microbial interactions (15 papers) and 3D Printing in Biomedical Research (10 papers). The work is most often cited by research in Pharmaceutical Science (340 citations), Biomaterials (727 citations) and Biotechnology (283 citations). Jonathan K. Pokorski has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include Nicole F. Steinmetz, Jaqueline D. Wallat, Sourabh Shukla, David M. Wirth, Oscar A. Ortega‐Rivera, Rigoberto C. Advíncula, Daniel H. Appella, Al de Leon, M. G. Finn and Young Hun Chung. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

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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