Jennifer Yang
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Oncology top 5%
- Cancer Cells and Metastasis
Papers in
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- Nuclear Structure and Function 5
- Single-cell and spatial transcriptomics 3
- Epigenetics and DNA Methylation 3
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- Cancer-related molecular mechanisms research 3
- Co-authors
- Burton B. Yang (4 shared papers)Kyle C. Smith (3 shared papers)Mehmet Toner (3 shared papers)Daniel A. Haber (3 shared papers)Ravi Kapur (3 shared papers)Joseph M. Martel (2 shared papers)Chun Peng (2 shared papers)Shyamala Maheswaran (2 shared papers)
- Journals
- PLoS ONE (6 papers)Journal for ImmunoTherapy of Cancer (3 papers)Blood (2 papers)Cancer Research (2 papers)Biomaterials (2 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Jennifer Yang
37 papers receiving 2.4k citations
Jennifer Yang's Hit Papers
Peers
Comparison fields: 5 of 116
- Cancer Research 679
- Oncology 506
- Dermatology 163
- Cell Biology 293
- Biomedical Engineering 792
Countries citing papers authored by Jennifer Yang
This map shows the geographic impact of Jennifer Yang'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 Jennifer Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Yang more than expected).
Fields of papers citing papers by Jennifer Yang
This network shows the impact of papers produced by Jennifer Yang. 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 Jennifer Yang. The network helps show where Jennifer Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jennifer Yang, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Microfluidic, marker-free isolation of circulating tumor cells from blood samples Hit paper breakdown → | 2014 | 605 |
| 2 | 2010 | 262 | |
| 3 | 2009 | 147 | |
| 4 | 2017 | 139 | |
| 5 | 2009 | 134 | |
| 6 | 2010 | 126 | |
| 7 | 2012 | 122 | |
| 8 | 2012 | 112 | |
| 9 | 2012 | 100 | |
| 10 | 2015 | 75 | |
| 11 | 2013 | 73 | |
| 12 | 2015 | 65 | |
| 13 | 2005 | 50 | |
| 14 | 2021 | 48 | |
| 15 | 2017 | 45 | |
| 16 | 2014 | 44 | |
| 17 | 2010 | 44 | |
| 18 | 2013 | 35 | |
| 19 | 2016 | 34 | |
| 20 | 2014 | 27 |
About Jennifer Yang
Jennifer Yang is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Oncology and Cell Biology, having authored 39 papers that have together received 2.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (5 papers), Nuclear Structure and Function (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Single-cell and spatial transcriptomics (3 papers), Cancer Cells and Metastasis (3 papers), Epigenetics and DNA Methylation (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (679 citations), Oncology (506 citations), Dermatology (163 citations), Cell Biology (293 citations) and Biomedical Engineering (792 citations). Jennifer Yang has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Burton B. Yang, Kyle C. Smith, Mehmet Toner, Daniel A. Haber, Ravi Kapur, Joseph M. Martel, Chun Peng, Shyamala Maheswaran, Henry H. Hwang and Philipp S. Spuhler. Their work appears in journals such as PLoS ONE, Journal for ImmunoTherapy of Cancer, Blood, Cancer Research and Biomaterials.
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.