Todd Sulchek
- Biomedical Engineering top 1%
- Molecular Biology top 5%
- Atomic and Molecular Physics, and Optics top 2%
- Cell Biology top 1%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Wenwei XuRoman MezencevJohn F. McDonaldByung Kyu KimLijuan WangThomas H. BarkerVincent F. FioreS. C. Minne
- Topics
- Force Microscopy Techniques and Applications (32 papers)Microfluidic and Bio-sensing Technologies (30 papers)3D Printing in Biomedical Research (22 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesTürkiyeChina
In The Last Decade
Todd Sulchek
114 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Biomedical Engineering 2.0k
- Molecular Biology 1.3k
- Atomic and Molecular Physics, and Optics 1.2k
- Cell Biology 1.0k
- Electrical and Electronic Engineering 622
Countries citing papers authored by Todd Sulchek
This map shows the geographic impact of Todd Sulchek'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 Todd Sulchek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Sulchek more than expected).
Fields of papers citing papers by Todd Sulchek
This network shows the impact of papers produced by Todd Sulchek. 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 Todd Sulchek. The network helps show where Todd Sulchek may publish in the future.
Co-authorship network of co-authors of Todd Sulchek
This figure shows the co-authorship network connecting the top 25 collaborators of Todd Sulchek. A scholar is included among the top collaborators of Todd Sulchek 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 Todd Sulchek. Todd Sulchek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 96 | |
| 4 | 13 | |
| 5 | 41 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 20 | |
| 9 | 91 | |
| 10 | 55 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 15 | |
| 14 | 5 | |
| 15 | 28 | |
| 16 | 104 | |
| 17 | Stiffness Dependent Separation of Cells in a Microfluidic Device | 3 |
| 18 | Cell stiffness is a biomarker of the metastatic potential of ovarian cancer cells | 0 |
| 19 | Cell Stiffness Is a Biomarker of the Metastatic Potential of Ovarian Cancer Cellsbreakdown → | 603 |
| 20 | 35 |
About Todd Sulchek
Todd Sulchek is a scholar working on Cell Biology, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 118 papers that have together received 5.3k indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (32 papers), Microfluidic and Bio-sensing Technologies (30 papers) and 3D Printing in Biomedical Research (22 papers). The work is most often cited by research in Cell Biology (1.0k citations), Biomedical Engineering (2.0k citations) and Structural Biology (61 citations). Todd Sulchek has collaborated with scholars based in United States, Türkiye and China. Frequent co-authors include Wenwei Xu, Roman Mezencev, John F. McDonald, Byung Kyu Kim, Lijuan Wang, Thomas H. Barker, Vincent F. Fiore, S. C. Minne, Jonathan D. Adams and Andrés J. Garcı́a. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.