Dejun Shen
Impact in
- Obstetrics and Gynecology top 5%
- COVID-19 Impact on Reproduction
- Pregnancy and preeclampsia studies
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
Papers in ⓘ
- Oncology 11
- Cancer-related Molecular Pathways 3
- Cancer Cells and Metastasis 2
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- Advanced Proteomics Techniques and Applications 5
- Mass Spectrometry Techniques and Applications 3
- Co-authors
- Helena R. Chang (11 shared papers)Lee Goodglick (3 shared papers)Yahya Elshimali (3 shared papers)David Chia (3 shared papers)Jianbo He (5 shared papers)Jaydutt V. Vadgama (5 shared papers)Shikha Bose (2 shared papers)James L. Connolly (3 shared papers)
- Journals
- Human Pathology (2 papers)International Journal of Oncology (2 papers)Oncotarget (2 papers)International Journal of Molecular Medicine (2 papers)Blood (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Dejun Shen
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Obstetrics and Gynecology 181
- Biophysics 108
- Cancer Research 214
- Oncology 297
- Immunology 171
Countries citing papers authored by Dejun Shen
This map shows the geographic impact of Dejun Shen'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 Dejun Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejun Shen more than expected).
Fields of papers citing papers by Dejun Shen
This network shows the impact of papers produced by Dejun Shen. 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 Dejun Shen. The network helps show where Dejun Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dejun Shen, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 188 | |
| 2 | 2014 | 156 | |
| 3 | 2010 | 141 | |
| 4 | 2006 | 102 | |
| 5 | 2004 | 66 | |
| 6 | 2010 | 58 | |
| 7 | 2007 | 37 | |
| 8 | 2017 | 34 | |
| 9 | 2011 | 33 | |
| 10 | 2016 | 31 | |
| 11 | 2016 | 29 | |
| 12 | BRCA1 and BRCA2 gene mutation analysis: visit to the Breast Cancer Information Core (BIC). | 1999 | 29 |
| 13 | 2014 | 27 | |
| 14 | Mutation analysis of BRCA1 gene in African-American patients with breast cancer. | 2000 | 26 |
| 15 | 2011 | 26 | |
| 16 | 2015 | 23 | |
| 17 | 2012 | 20 | |
| 18 | 2005 | 20 | |
| 19 | 2006 | 18 | |
| 20 | 2019 | 17 |
About Dejun Shen
Dejun Shen is a scholar working on Oncology, Spectroscopy, Cancer Research, Obstetrics and Gynecology and Molecular Biology, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), BRCA gene mutations in cancer (3 papers), S100 Proteins and Annexins (3 papers), Cancer-related Molecular Pathways (3 papers), Advanced Biosensing Techniques and Applications (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Cancer Research and Treatments (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Obstetrics and Gynecology (181 citations), Biophysics (108 citations), Cancer Research (214 citations), Oncology (297 citations) and Immunology (171 citations). Dejun Shen has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Helena R. Chang, Lee Goodglick, Yahya Elshimali, David Chia, Jianbo He, Jaydutt V. Vadgama, Shikha Bose, James L. Connolly, Yuri Sheikine and James G. Fujimoto. Their work appears in journals such as Human Pathology, International Journal of Oncology, Oncotarget, International Journal of Molecular Medicine and Blood.
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.