Qing-jun Zhang

833 citations
31 papers · 645 indexed · h-index 11
Topics
Mesenchymal stem cell research (5 papers)Biochemical effects in animals (3 papers)Neuropeptides and Animal Physiology (3 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Qing-jun Zhang

29 papers receiving 633 citations

Peers

Qing-jun Zhang
Comparison fields: 5 of 84
  • Molecular Biology 303
  • Genetics 181
  • Surgery 157
  • Cancer Research 97
  • Oncology 83
Replace Mandolin J. Whitney with:
Mandolin J. Whitney United States
Mariele Viganò Italy
Zhao Cheng China
Lanjuan Li China
Kate Hawkins United Kingdom
Zhi Jiang China
Qiong Ke China
Min–Soo Seo South Korea
Florence Figeac Denmark
Yimei Hong China
Qing-jun Zhang relative to Mandolin J. Whitney United States Mandolin J. Whitney's profile →
Citations per field
00.5×1.5×
Mandolin J. Whitney · 1×
Citations per year

Countries citing papers authored by Qing-jun Zhang

Since Specialization
Citations

This map shows the geographic impact of Qing-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 Qing-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 Qing-jun Zhang more than expected).

Fields of papers citing papers by Qing-jun Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing-jun Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Qing-jun Zhang. A scholar is included among the top collaborators of Qing-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 Qing-jun Zhang. Qing-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 2
2 1
3 1
4 4
5 18
6 28
7 10
8 2
9 12
10 10
11 163
12
Clinical Efficacy of Compound Matrine Injection in Combination with FOLFOX-4 Chemotherapy for Advanced Colorectal Cancer
1
13 113
14
Data Analysis of The Third National Retrospective Sampling Death Survey III:Characteristics of Death of Malignant Tumors of Hubei Population
1
15 70
16 15
17
[Biological oxidative stress induced by electromagnetic irradiation].
3
18
[Transplantation of human umbilical cord stem cells improves neurological function recovery after spinal cord injury in rats].
4
19 1
20 1

About Qing-jun Zhang

Qing-jun Zhang is a scholar working on Genetics, Biological Psychiatry and Cancer Research, having authored 31 papers that have together received 645 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (5 papers), Biochemical effects in animals (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Genetics (181 citations), Developmental Neuroscience (48 citations) and Aging (12 citations). Qing-jun Zhang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Cungang Fan, Jingru Zhou, Diego H. Castrillón, Ronald A. DePinho, Wen Zhou, Qian Cao, Yan Peng, Shiyue Li, Yongyi Bi and Genming Zhao. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Gastroenterology.

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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