Dana M. Pirone

7.9k citations
19 papers · 6.3k indexed · 3 hit papers · h-index 13
Topics
Cellular Mechanics and Interactions (12 papers)Protein Kinase Regulation and GTPase Signaling (4 papers)3D Printing in Biomedical Research (4 papers)

In The Last Decade

Dana M. Pirone

19 papers receiving 6.2k citations

Hit Papers

Cell Shape, Cytoskeletal Tension, and RhoA Regulate Stem ...200320262010201820042003200710002.0k3.0k

Peers

Dana M. Pirone
Comparison fields: 5 of 128
  • Biomedical Engineering 3.5k
  • Cell Biology 3.5k
  • Molecular Biology 1.7k
  • Biomaterials 609
  • Surgery 577
Replace Kiran Bhadriraju with:
Kiran Bhadriraju United States
Sanjay Kumar United States
Daniel M. Cohen United States
Michael T. Yang United States
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Dana M. Pirone relative to Kiran Bhadriraju United States Kiran Bhadriraju's profile →
Citations per field
00.5×1.5×
Kiran Bhadriraju · 1×
Citations per year

Countries citing papers authored by Dana M. Pirone

Since Specialization
Citations

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

Fields of papers citing papers by Dana M. Pirone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana M. Pirone. 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 Dana M. Pirone. The network helps show where Dana M. Pirone may publish in the future.

Co-authorship network of co-authors of Dana M. Pirone

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 95
2 5
3 5
4 12
5 206
6
Versatile, Fully Automated, Microfluidic Cell Culture Systembreakdown →
488
7 148
8 81
9 8
10
Cell Shape, Cytoskeletal Tension, and RhoA Regulate Stem Cell Lineage Commitmentbreakdown →
3366
11 34
12 142
13
Cells lying on a bed of microneedles: An approach to isolate mechanical forcebreakdown →
1540
14 2
15 40
16 2
17 91
18 31
19 14

About Dana M. Pirone

Dana M. Pirone is a scholar working on Cell Biology, Immunology and Allergy and Molecular Biology, having authored 19 papers that have together received 6.3k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (12 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and 3D Printing in Biomedical Research (4 papers). The work is most often cited by research in Cell Biology (3.5k citations), Immunology and Allergy (542 citations) and Biomedical Engineering (3.5k citations). Dana M. Pirone has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Christopher S. Chen, Kiran Bhadriraju, Celeste M. Nelson, Rowena McBeath, John L. Tan, Joe Tien, Darren S. Gray, Rafael Gómez-Sjöberg, Anne Leyrat and Stephen R. Quake. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

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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