Dejun Shen

9.7k citations
33 papers · 1.2k · h-index 19

Impact in

Papers in

    • S100 Proteins and Annexins 3
    • Advanced Biosensing Techniques and Applications 3
    • Cancer-related Molecular Pathways 3

Dejun Shen

33 papers receiving 1.2k citations

Peers

Dejun Shen
Comparison fields: 5 of 89
  • Obstetrics and Gynecology 179
  • Biophysics 100
  • Cancer Research 162
  • Oncology 241
  • Immunology 153
Replace Donna Badgwell with:
Donna Badgwell United States
Wentao Yue China
Akinori Hashiguchi Japan
Uma Krishnamurti United States
Brian M. Nolen United States
Esther H. Lips Netherlands
Antje Lebrecht Germany
Puay‐Hoon Tan Singapore
Takahiro Oike Japan
Aliza Leiser United States
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Citations per field
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Citations per year

Countries citing papers authored by Dejun Shen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dejun Shen Line = papers co-authored together Dejun Shen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020192
2 2014163
3 2010154
4 2006104
5 200467
6 201058
7 201737
8 200736
9 201133
10 201632
11 201629
12 201129
13
BRCA1 and BRCA2 gene mutation analysis: visit to the Breast Cancer Information Core (BIC).
199929
14 201427
15
Mutation analysis of BRCA1 gene in African-American patients with breast cancer.
200026
16 201524
17 201221
18 200521
19 200618
20 201917

About Dejun Shen

Dejun Shen is a scholar working on Molecular Biology, Oncology, Spectroscopy, Pulmonary and Respiratory Medicine and Epidemiology, 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), S100 Proteins and Annexins (3 papers), BRCA gene mutations in cancer (3 papers), Cancer-related Molecular Pathways (3 papers), Advanced Biosensing Techniques and Applications (3 papers), Mass Spectrometry Techniques and Applications (3 papers), COVID-19 Impact on Reproduction (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Obstetrics and Gynecology (179 citations), Biophysics (100 citations), Cancer Research (162 citations), Oncology (241 citations) and Immunology (153 citations). Dejun Shen has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Helena R. Chang, Yahya Elshimali, Lee Goodglick, 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 Oncotarget, International Journal of Oncology, International Journal of Molecular Medicine, Human Pathology and American Journal of Clinical Pathology.

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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