James Che
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Oncology top 5%
- Cancer Cells and Metastasis
Papers in
- Oncology 14
- Cancer Cells and Metastasis 12
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- Cancer Genomics and Diagnostics 7
- Co-authors
- Dino Di Carlo (15 shared papers)Jonathan Wade Goldman (7 shared papers)Rajan P. Kulkarni (8 shared papers)Elodie Sollier (6 shared papers)Stefanie S. Jeffrey (9 shared papers)Corinne M. Renier (8 shared papers)Matthew B. Rettig (3 shared papers)Edward B. Garon (6 shared papers)
- Journals
- Lab on a Chip (5 papers)Journal of Experimental Biology (2 papers)Scientific Reports (2 papers)Oncotarget (2 papers)npj Genomic Medicine (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
James Che
22 papers receiving 1.6k citations
James Che's Hit Papers
Peers
Comparison fields: 5 of 89
- Cancer Research 427
- Oncology 674
- Biomedical Engineering 978
- Biophysics 38
- Biotechnology 54
Countries citing papers authored by James Che
This map shows the geographic impact of James Che'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 James Che with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Che more than expected).
Fields of papers citing papers by James Che
This network shows the impact of papers produced by James Che. 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 James Che. The network helps show where James Che may publish in the future.
Co-authors
The 25 scholars most cited alongside James Che, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Size-selective collection of circulating tumor cells using Vortex technology Hit paper breakdown → | 2013 | 454 |
| 2 | 2017 | 217 | |
| 3 | 2016 | 162 | |
| 4 | 2017 | 86 | |
| 5 | 2017 | 84 | |
| 6 | 2018 | 84 | |
| 7 | 2016 | 79 | |
| 8 | 2015 | 66 | |
| 9 | 2016 | 49 | |
| 10 | 2018 | 49 | |
| 11 | 2020 | 43 | |
| 12 | 2017 | 39 | |
| 13 | 2010 | 39 | |
| 14 | 2013 | 35 | |
| 15 | 2019 | 23 | |
| 16 | 2017 | 22 | |
| 17 | 2010 | 11 | |
| 18 | 2014 | 8 | |
| 19 | 2014 | 7 | |
| 20 | 2024 | 7 |
About James Che
James Che is a scholar working on Oncology, Cancer Research, Biomedical Engineering, Pathology and Forensic Medicine and Computational Mechanics, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (14 papers), Cancer Cells and Metastasis (12 papers), Cancer Genomics and Diagnostics (7 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers), 3D Printing in Biomedical Research (3 papers), Orbital Angular Momentum in Optics (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Cancer Research (427 citations), Oncology (674 citations), Biomedical Engineering (978 citations), Biophysics (38 citations) and Biotechnology (54 citations). James Che has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Dino Di Carlo, Jonathan Wade Goldman, Rajan P. Kulkarni, Elodie Sollier, Stefanie S. Jeffrey, Corinne M. Renier, Matthew B. Rettig, Edward B. Garon, Derek E. Go and Elodie Sollier‐Christen. Their work appears in journals such as Lab on a Chip, Journal of Experimental Biology, Scientific Reports, Oncotarget and npj Genomic Medicine.
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.