Sai Zhang

7.1k citations
231 papers · 4.7k indexed · h-index 35

Impact in

  • Software top 2%
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Sai Zhang

215 papers receiving 4.6k citations

Peers

Sai Zhang
Comparison fields: 5 of 181
  • Software 223
  • Cancer Research 777
  • Molecular Biology 2.0k
  • Immunology 513
  • Health, Toxicology and Mutagenesis 264
Replace Jigang Wang with:
Jigang Wang China
Long Lu United States
Jean Yang Australia
Murali Ramanathan United States
Ping Zeng China
Cesare Furlanello Italy
Francisco Azuaje United Kingdom
Shulin Wang China
Tao Huang China
Jing Qiu China
Sai Zhang relative to Jigang Wang China Jigang Wang's profile →
Citations per field
00.5×2.8×
Jigang Wang · 1×
Citations per year

Countries citing papers authored by Sai Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Sai Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20241
4 20243
5 20245
6 20247
7 20241
8 20248
9 20232
10 20229
11 202240
12 202220
13 20216
14 20211
15 202184
16
Application of Different Chest Wall Compensation Membrane in Radiotherapy of Breast Cancer
20200
17 201920
18 201838
19 20180
20 201772

About Sai Zhang

Sai Zhang is a scholar working on Software, Cancer Research, Molecular Biology, Sensory Systems and Complementary and alternative medicine, having authored 231 papers that have together received 4.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (19 papers), RNA modifications and cancer (17 papers), Neurobiology and Insect Physiology Research (12 papers), MicroRNA in disease regulation (11 papers), RNA and protein synthesis mechanisms (8 papers), Software Engineering Research (8 papers), Circular RNAs in diseases (8 papers) and Advanced biosensing and bioanalysis techniques (7 papers). The work is most often cited by research in Software (223 citations), Cancer Research (777 citations), Molecular Biology (2.0k citations), Immunology (513 citations) and Health, Toxicology and Mutagenesis (264 citations). Sai Zhang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Weiqi Zhou, Michael D. Ernst, Jianyang Zeng, Hailin Hu, M Snyder, Haiqian Liang, R. Wang, Wei Zhou, Jin Li and Tao Liu. Their work appears in journals such as Aging and Disease, Nucleic Acids Research, Bioinformatics, Journal of Ethnopharmacology and Journal of Medicinal Chemistry.

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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