Daniel Stark

1.1k total citations · 1 hit paper
11 papers, 759 citations indexed

About

Daniel Stark is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Oncology. According to data from OpenAlex, Daniel Stark has authored 11 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 4 papers in Electrical and Electronic Engineering and 3 papers in Oncology. Recurrent topics in Daniel Stark's work include CAR-T cell therapy research (2 papers), Microfluidic and Bio-sensing Technologies (2 papers) and 3D Printing in Biomedical Research (2 papers). Daniel Stark is often cited by papers focused on CAR-T cell therapy research (2 papers), Microfluidic and Bio-sensing Technologies (2 papers) and 3D Printing in Biomedical Research (2 papers). Daniel Stark collaborates with scholars based in United States, Switzerland and Canada. Daniel Stark's co-authors include Robert M. Raphael, T. C. Killian, Jami Mandelin, Renata Pasqualini, James A. Bankson, Juri G. Gelovani, Maria‐Magdalena Georgescu, Jennifer R. Molina, Wadih Arap and Michael G. Ozawa and has published in prestigious journals such as Blood, Nature Nanotechnology and Chemistry of Materials.

In The Last Decade

Daniel Stark

9 papers receiving 741 citations

Hit Papers

Three-dimensional tissue culture based on magnetic cell l... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers

Daniel Stark
Comparison fields: 5 of 94
  • Biomedical Engineering 499
  • Molecular Biology 130
  • Materials Chemistry 128
  • Oncology 127
  • Biomaterials 91
Replace Lawrence F. Bronk with:
Lawrence F. Bronk United States
Liz Y. Wu United States
Taisuke Masuda Japan
Sasha Cai Lesher‐Pérez United States
Amy L. Paguirigan United States
Rami El Assal United States
Raquel Perez‐Castillejos United States
Guocheng Fang China
Barbara Haller Germany
Susan E. Leggett United States
Lawrence F. Bronk United States View profile →
Citations per field, relative to Daniel Stark
Daniel Stark · 1×
Citations per year, relative to Daniel Stark
Daniel Stark · 1×

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-authorship network of co-authors of Daniel Stark

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 0
2 3
3 2
4 134
5 9
6 17
7 22
8
Three-dimensional tissue culture based on magnetic cell levitation breakdown →
524
9 23
10
Modification of cells using a high-throughput microelectroporator
0
11 25

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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