Shen Ji

404 citations
4 papers · 322 · h-index 3

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • Circular RNAs in diseases
    • Extracellular vesicles in disease
    • Epigenetics and DNA Methylation

Papers in

    • CRISPR and Genetic Engineering 1
    • Natural product bioactivities and synthesis 1
    • BRCA gene mutations in cancer 2
    • Genetic Associations and Epidemiology 1

Shen Ji

4 papers receiving 319 citations

Peers

Shen Ji
Comparison fields: 5 of 40
  • Cancer Research 228
  • Molecular Biology 250
  • Genetics 71
  • Oncology 29
  • Pathology and Forensic Medicine 15
Replace Hua Guo with:
Hua Guo China
Jovana Klajic Norway
Satyanarayana M.R. Rao India
Alexander Martinez‐Fundichely United States
Anneleen Decock Belgium
Adrià Closa Spain
Lucas Lochovsky United States
Lobat Geranpayeh Iran
Harini Ramalingam United States
Zhening Pu China
Shen Ji relative to Hua Guo China Hua Guo's profile →
Citations per field
00.5×1.5×2.5×
Hua Guo · 1×
Citations per year

Countries citing papers authored by Shen Ji

Since Specialization
Citations

This map shows the geographic impact of Shen Ji'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 Shen Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shen Ji more than expected).

Fields of papers citing papers by Shen Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shen Ji. 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 Shen Ji. The network helps show where Shen Ji may publish in the future.

Co-authors

The 20 scholars most cited alongside Shen Ji, 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 Shen Ji Line = papers co-authored together Shen Ji links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1 2013221
2 201254
3 201245
4
Effect of huachansu injection sequence TACE including oxaliplatin regimen for advanced hepatocelluler carcinoma
20122

About Shen Ji

Shen Ji is a scholar working on Molecular Biology, Genetics, Cancer Research, Pathology and Forensic Medicine and Analytical Chemistry, having authored 4 papers that have together received 322 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (2 papers), MicroRNA in disease regulation (1 paper), Cancer Genomics and Diagnostics (1 paper), Cancer-related molecular mechanisms research (1 paper), Genetic Associations and Epidemiology (1 paper), Genetic factors in colorectal cancer (1 paper), CRISPR and Genetic Engineering (1 paper) and Natural product bioactivities and synthesis (1 paper). The work is most often cited by research in Cancer Research (228 citations), Molecular Biology (250 citations), Genetics (71 citations), Oncology (29 citations) and Pathology and Forensic Medicine (15 citations). Shen Ji has collaborated with scholars based in Singapore. Frequent co-authors include Maurice Chan, Puay Hoon Tan, Gay Hui Ho, Chow Yin Wong, Aye Aye Thike, Hwee Huang Tan, Raymond Ng, Peter Ang, Yoon Sim Yap and Ann S. G. Lee. Their work appears in journals such as Clinical Cancer Research, Journal of Molecular Diagnostics, Breast Cancer Research and Treatment and Zhonghua linchuang yishi zazhi.

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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