Dejun Shen

1.5k citations
30 papers · 1.3k · h-index 18

Impact in

Papers in

    • Breast Cancer Treatment Studies 8
    • Cancer Genomics and Diagnostics 2
    • Advanced Proteomics Techniques and Applications 3

Dejun Shen

30 papers receiving 1.2k citations

Peers

Dejun Shen
Comparison fields: 5 of 76
  • Obstetrics and Gynecology 207
  • Cancer Research 233
  • Biophysics 112
  • Oncology 136
  • Spectroscopy 84
Replace Shigeto Kawauchi with:
Shigeto Kawauchi Japan
Petra Kohlberger Austria
Adam Kagel United States
Loes F. S. Kooreman Netherlands
Manohar Pradhan Norway
Ivar Skaland Norway
Hanne Arenberg Askautrud Norway
Kenji Ohshima Japan
Joerg Schwock Canada
Yumiko Hori Japan
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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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020224
2 2014170
3 2010160
4 2006106
5 200467
6 201060
7 200737
8 201736
9 201635
10 201134
11 201131
12 201631
13
BRCA1 and BRCA2 gene mutation analysis: visit to the Breast Cancer Information Core (BIC).
199929
14
Mutation analysis of BRCA1 gene in African-American patients with breast cancer.
200027
15 201427
16 201526
17 201222
18 200521
19 200618
20 201917

About Dejun Shen

Dejun Shen is a scholar working on Cancer Research, Spectroscopy, Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (8 papers), BRCA gene mutations in cancer (3 papers), Advanced Proteomics Techniques and Applications (3 papers), S100 Proteins and Annexins (2 papers), Breast Lesions and Carcinomas (2 papers), Gene expression and cancer classification (2 papers), Cancer Genomics and Diagnostics (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Obstetrics and Gynecology (207 citations), Cancer Research (233 citations), Biophysics (112 citations), Oncology (136 citations) and Spectroscopy (84 citations). Dejun Shen has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Helena R. Chang, Yahya Elshimali, Lee Goodglick, David Chia, Jianbo He, Jaydutt V. Vadgama, Shikha Bose, James L. Connolly, Carolyn M. Salafia and Mari A. Mino-Kenudson. Their work appears in journals such as International Journal of Oncology, Oncotarget, Human Pathology, 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.

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