Ji Shi

450 citations
20 papers · 296 · h-index 10

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Glioma Diagnosis and Treatment
    • Virus-based gene therapy research

Papers in

    • Circular RNAs in diseases 3
    • Epigenetics and DNA Methylation 2
    • Pancreatic and Hepatic Oncology Research 2

Ji Shi

17 papers receiving 294 citations

Peers

Ji Shi
Comparison fields: 5 of 67
  • Cancer Research 72
  • Genetics 33
  • Geriatrics and Gerontology 9
  • Molecular Biology 154
  • Algebra and Number Theory 9
Replace Weihai Ning with:
Weihai Ning China
Junyi Yin China
Stephanie L. Lomonaco United States
Jonathan L. Tso United States
Nahoko Tomonobu Japan
Haiyang Li China
Philip Berardi Canada
Tingyi Wei China
Yaqi Cheng China
Sara Duhachek-Muggy United States
Ji Shi relative to Weihai Ning China Weihai Ning's profile →
Citations per field
00.5×1.5×2.3×
Weihai Ning · 1×
Citations per year

Countries citing papers authored by Ji Shi

Since Specialization
Citations

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

Fields of papers citing papers by Ji Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ji Shi, 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 Ji Shi Line = papers co-authored together Ji Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202059
2 202036
3 201935
4 202033
5 201924
6 201820
7 202120
8 202118
9 202316
10 202313
11 20208
12 20187
13 20193
14 20251
15 20201
16 20181
17 20201
18 20250
19 20170
20 20250

About Ji Shi

Ji Shi is a scholar working on Molecular Biology, Oncology, Genetics, Algebra and Number Theory and Cell Biology, having authored 20 papers that have together received 296 indexed citations. Recurring topics across this work include Advanced Mathematical Identities (4 papers), Glioma Diagnosis and Treatment (4 papers), Circular RNAs in diseases (3 papers), Analytic Number Theory Research (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Epigenetics and DNA Methylation (2 papers), Advanced MRI Techniques and Applications (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (72 citations), Genetics (33 citations), Geriatrics and Gerontology (9 citations), Molecular Biology (154 citations) and Algebra and Number Theory (9 citations). Ji Shi has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Haozhe Piao, Ye Zhang, Ke Jiang, Songshu Meng, Bing Yao, Lulu Hu, Yi Chen, Yuanyuan Hao, Rui Sui and Dapeng Liang. Their work appears in journals such as The Ramanujan Journal, Cancer Letters, Molecular Biology and Evolution, BioMed Research International and ACS Sensors.

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.

Explore authors with similar magnitude of impact