Jun Zhang

11.5k citations
263 papers · 8.8k indexed · 2 hit papers · h-index 48
Topics
Microfluidic and Bio-sensing Technologies (80 papers)Microfluidic and Capillary Electrophoresis Applications (76 papers)MicroRNA in disease regulation (44 papers)

In The Last Decade

Jun Zhang

251 papers receiving 8.6k citations

Hit Papers

Fundamentals and applications of inertial microfluidics: ...201520262018202220152016250500750

Peers

Jun Zhang
Comparison fields: 5 of 176
  • Biomedical Engineering 4.6k
  • Molecular Biology 1.6k
  • Electrical and Electronic Engineering 1.6k
  • Cancer Research 843
  • Cardiology and Cardiovascular Medicine 684
Replace Bin Liu with:
Bin Liu China
Chun Yang Singapore
Hui Zhang China
Xin Sun China
Yunfei Chen China
Zhiqiang Gao China
Kenneth L. Johnson United States
Sehyun Shin South Korea
Yulong Li China
Kun Zhang China
Jun Zhang relative to Bin Liu China Bin Liu's profile →
Citations per field
00.5×1.5×2.3×
Bin Liu · 1×
Citations per year

Countries citing papers authored by Jun Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Zhang. A scholar is included among the top collaborators of Jun Zhang 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 Jun Zhang. Jun Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 13
5 1
6 16
7 21
8 4
9 7
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11 5
12 9
13 25
14 38
15 3
16 51
17 20
18 41
19
Simulation of FGF-2 Binding with Receptors on Cell Surface on the Wall in a Bioreactor System.
0
20 97

About Jun Zhang

Jun Zhang is a scholar working on Cancer Research, Biomedical Engineering and Ecological Modeling, having authored 263 papers that have together received 8.8k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (80 papers), Microfluidic and Capillary Electrophoresis Applications (76 papers) and MicroRNA in disease regulation (44 papers). The work is most often cited by research in Biomedical Engineering (4.6k citations), Cancer Research (843 citations) and Ecological Modeling (167 citations). Jun Zhang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Weihua Li, Nam‐Trung Nguyen, Sheng Yan, Dan Yuan, Gürsel Alıcı, Teodoro Bottiglieri, Peter A. McCullough, Qianbin Zhao, Majid Ebrahimi Warkiani and Ming Li. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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