Daniel Stark

1.1k citations
11 papers · 759 · 1 hit paper · h-index 7

Impact in

Papers in

Daniel Stark

9 papers receiving 741 citations

Daniel Stark's Hit Papers

Three-dimensional tissue culture based on magnetic cell levitation 2010 · 524 citations
5240+5+10Years since publication100200300400500

Peers

Daniel Stark
Comparison fields: 5 of 94
  • Biomedical Engineering 499
  • Biomaterials 91
  • Oncology 127
  • Automotive Engineering 54
  • Condensed Matter Physics 50
Replace Lawrence F. Bronk with:
Lawrence F. Bronk United States
Guocheng Fang China
R. Iyer United States
Kévin Alessandri France
Thomas Gervais Canada
Raquel Perez‐Castillejos United States
Yulong Han China
Marie Shinohara Japan
Taisuke Masuda Japan
Gert‐Jan Bakker Netherlands
Daniel Stark relative to Lawrence F. Bronk United States Lawrence F. Bronk's profile →
Citations per field
00.5×1.5×
Lawrence F. Bronk · 1×
Citations per year

Countries citing papers authored by Daniel Stark

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Stark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Stark. 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 Stark. The network helps show where Daniel Stark may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Stark, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Stark Line = papers co-authored together Daniel Stark links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Three-dimensional tissue culture based on magnetic cell levitation
Hit paper breakdown →
2010524
2 2014134
3 199125
4 201023
5 201222
6 201417
7 20149
8 20173
9 20152
10
Modification of cells using a high-throughput microelectroporator
20080
11 20190

About Daniel Stark

Daniel Stark is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Oncology, Atomic and Molecular Physics, and Optics and Materials Chemistry, having authored 11 papers that have together received 759 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (2 papers), CAR-T cell therapy research (2 papers), 3D Printing in Biomedical Research (2 papers), Nanoplatforms for cancer theranostics (1 paper), Oil and Gas Production Techniques (1 paper), Electrowetting and Microfluidic Technologies (1 paper), Advanced Fiber Laser Technologies (1 paper) and Digital Radiography and Breast Imaging (1 paper). The work is most often cited by research in Biomedical Engineering (499 citations), Biomaterials (91 citations), Oncology (127 citations), Automotive Engineering (54 citations) and Condensed Matter Physics (50 citations). Daniel Stark has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Robert M. Raphael, T. C. Killian, Wadih Arap, James A. Bankson, Maria‐Magdalena Georgescu, Glauco R. Souza, Renata Pasqualini, Michael G. Ozawa, Jami Mandelin and Lawrence F. Bronk. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Communications of the ACM, Chemistry of Materials, Sensors and Actuators B Chemical and International Journal of Cancer.

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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