Qi Shang

1.7k citations
81 papers · 1.3k · h-index 21

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery

Papers in

    • Bone Metabolism and Diseases 21
    • TGF-β signaling in diseases 5
    • Heat shock proteins research 5
    • Immune cells in cancer 5

Qi Shang

78 papers receiving 1.3k citations

Peers

Qi Shang
Comparison fields: 5 of 108
  • Cancer Research 213
  • Biomaterials 168
  • Orthopedics and Sports Medicine 98
  • Molecular Biology 689
  • Immunology 181
Replace Subhadip Ghatak with:
Subhadip Ghatak United States
Marzena Matejczyk Poland
Radha Madhyastha Japan
Luiz Eurico Nasciutti Brazil
Ioana Ilie Romania
Fei Xu China
Show‐Mei Chuang Taiwan
Tao Ding China
So‐Hyun Park South Korea
Shanshan Gu China
Qi Shang relative to Subhadip Ghatak United States Subhadip Ghatak's profile →
Citations per field
00.5×3.2×
Subhadip Ghatak · 1×
Citations per year

Countries citing papers authored by Qi Shang

Since Specialization
Citations

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

Fields of papers citing papers by Qi Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020138
2 2020116
3 201866
4 202158
5
Cadmium exposure among residents in an area contaminated by irrigation water in China.
199555
6 202249
7 202049
8 202042
9 201938
10 201938
11 201838
12 202038
13 200935
14 201835
15 202230
16 202126
17 201923
18 201923
19 202023
20 202322

About Qi Shang

Qi Shang is a scholar working on Molecular Biology, Immunology, Oncology, Orthopedics and Sports Medicine and Plant Science, having authored 81 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (21 papers), Nanoplatforms for cancer theranostics (6 papers), Bone health and osteoporosis research (5 papers), TGF-β signaling in diseases (5 papers), Plant Stress Responses and Tolerance (5 papers), Immune cells in cancer (5 papers), Spine and Intervertebral Disc Pathology (5 papers) and Heat shock proteins research (5 papers). The work is most often cited by research in Cancer Research (213 citations), Biomaterials (168 citations), Orthopedics and Sports Medicine (98 citations), Molecular Biology (689 citations) and Immunology (181 citations). Qi Shang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shiyao Zhou, Yuxia Luan, Gengyang Shen, Hui Ren, De Liang, Xiang Yu, Wenhua Zhao, Zhida Zhang, Jingjing Tang and Ningning Wang. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Journal of Cellular Physiology, Rice Science, Acta Pharmaceutica Sinica B and Scientific Reports.

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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