Jennifer S. Park

1.7k citations
12 papers · 1.4k indexed · 1 hit paper · h-index 10
Topics
Mesenchymal stem cell research (3 papers)Silicon Nanostructures and Photoluminescence (3 papers)Tissue Engineering and Regenerative Medicine (2 papers)

In The Last Decade

Jennifer S. Park

11 papers receiving 1.3k citations

Hit Papers

The effect of matrix stiffness on the differentiation of ...20112026201620212011200400600

Peers

Jennifer S. Park
Comparison fields: 5 of 92
  • Biomedical Engineering 597
  • Molecular Biology 408
  • Biomaterials 374
  • Surgery 365
  • Cell Biology 363
Replace Zhenyu Tang with:
Zhenyu Tang China
Andrés J. Garcı́a United States
Ross A. Marklein United States
Laxminarayanan Krishnan United States
Kyle H. Vining United States
Roman M. Salasznyk United States
Umber Cheema United Kingdom
Federico Tortelli Italy
Woojin M. Han United States
Kim C. O’Connor United States
Jennifer S. Park relative to Zhenyu Tang China Zhenyu Tang's profile →
Citations per field
00.5×1.5×
Zhenyu Tang · 1×
Citations per year

Countries citing papers authored by Jennifer S. Park

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer S. Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer S. Park. 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 S. Park. The network helps show where Jennifer S. Park may publish in the future.

Co-authorship network of co-authors of Jennifer S. Park

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer S. Park. A scholar is included among the top collaborators of Jennifer S. Park 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 Jennifer S. Park. Jennifer S. Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 5
2 14
3 1
4 14
5 28
6 16
7
The effect of matrix stiffness on the differentiation of mesenchymal stem cells in response to TGF-βbreakdown →
622
8 13
9 38
10 129
11 271
12 202

About Jennifer S. Park

Jennifer S. Park is a scholar working on Genetics, Statistics and Probability and Orthopedics and Sports Medicine, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (3 papers), Silicon Nanostructures and Photoluminescence (3 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Genetics (309 citations), Biomaterials (374 citations) and Cell Biology (363 citations). Jennifer S. Park has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Julia Chu, Song Li, Zhenyu Tang, Aijun Wang, Li Song, Fanqing Chen, Catherine Cheng, David Chen, Daojing Wang and David J. Chen. Their work appears in journals such as Journal of Biological Chemistry, Nano Letters and Biomaterials.

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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