Zhanqiu Dai

611 total citations · 1 hit paper
18 papers, 417 citations indexed

About

Zhanqiu Dai is a scholar working on Molecular Biology, Surgery and Cancer Research. According to data from OpenAlex, Zhanqiu Dai has authored 18 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Surgery and 5 papers in Cancer Research. Recurrent topics in Zhanqiu Dai's work include Extracellular vesicles in disease (5 papers), MicroRNA in disease regulation (4 papers) and Spine and Intervertebral Disc Pathology (4 papers). Zhanqiu Dai is often cited by papers focused on Extracellular vesicles in disease (5 papers), MicroRNA in disease regulation (4 papers) and Spine and Intervertebral Disc Pathology (4 papers). Zhanqiu Dai collaborates with scholars based in China, United States and Mexico. Zhanqiu Dai's co-authors include Pengfei Chen, Nan Song, Ruikang Tang, Shunwu Fan, Yongming Jin, Xianfeng Lin, Zhaoming Liu, Chenhui Gu, Chen Xia and Jianfeng Zhang and has published in prestigious journals such as Nature, Nano Letters and Advanced Functional Materials.

In The Last Decade

Zhanqiu Dai

17 papers receiving 415 citations

Hit Papers

A plant-derived natural photosynthetic system for improvi... 2022 2026 2023 2024 2022 50 100 150

Peers

Zhanqiu Dai
Comparison fields: 5 of 84
  • Molecular Biology 210
  • Biomedical Engineering 105
  • Cancer Research 62
  • Surgery 48
  • Biomaterials 46
Replace Ann‐Kristin Picke with:
Ann‐Kristin Picke Germany
Jiasong Cao China
Huajian Shan China
Olfa Ghali France
Joe Kodama Japan
Zhuoli Zhu China
Quitterie C. Larrouture United States
Alekos A. Theologis United States
Shaohua Du China
Qi Tang China
Ann‐Kristin Picke Germany View profile →
Citations per field, relative to Zhanqiu Dai
Zhanqiu Dai · 1×
Citations per year, relative to Zhanqiu Dai
Zhanqiu Dai · 1×

Countries citing papers authored by Zhanqiu Dai

Since Specialization
Citations

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

Fields of papers citing papers by Zhanqiu Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhanqiu Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Zhanqiu Dai. A scholar is included among the top collaborators of Zhanqiu Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhanqiu Dai. Zhanqiu Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 1
2 1
3 3
4 1
5 20
6 14
7 2
8 2
9 7
10 17
11 32
12 50
13
A plant-derived natural photosynthetic system for improving cell anabolism breakdown →
157
14 32
15 9
16 5
17 53
18 11

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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