Jun Zhu

2.1k citations
93 papers · 1.5k indexed · 1 hit paper · h-index 19
Topics
Osteoarthritis Treatment and Mechanisms (15 papers)Lymphoma Diagnosis and Treatment (13 papers)CAR-T cell therapy research (11 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Jun Zhu

84 papers receiving 1.5k citations

Hit Papers

Manufacturing of primed mesenchymal stromal cells for the...2019202620212023201950100150200250

Peers

Jun Zhu
Comparison fields: 5 of 132
  • Molecular Biology 635
  • Surgery 316
  • Genetics 283
  • Cancer Research 199
  • Rheumatology 182
Replace Sung‐Ho Kook with:
Sung‐Ho Kook South Korea
Peraphan Pothacharoen Thailand
Rong Zeng China
Bin Ma China
Katarzyna Komosińska‐Vassev Poland
Heiko Kämpfer Germany
Lei Song China
Wei‐Shiung Lian Taiwan
Kenji Osawa Japan
Jun Zhu relative to Sung‐Ho Kook South Korea Sung‐Ho Kook's profile →
Citations per field
00.5×1.5×2.1×
Sung‐Ho Kook · 1×
Citations per year

Countries citing papers authored by Jun Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Zhu. A scholar is included among the top collaborators of Jun Zhu 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 Zhu. Jun Zhu 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 0
3 3
4 2
5 0
6 13
7 4
8 6
9 1
10 16
11 6
12 18
13 15
14 2
15 43
16 18
17
Comparison of carbapenem inactivation method and Carba NP test for screening of carbapenemase-producing Enterobacteriaceae
1
18 25
19
Design and Realization of Pre-treatment System for Crop Variety Experimental Data
0
20 69

About Jun Zhu

Jun Zhu is a scholar working on Genetics, Pathology and Forensic Medicine and Rheumatology, having authored 93 papers that have together received 1.5k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (15 papers), Lymphoma Diagnosis and Treatment (13 papers) and CAR-T cell therapy research (11 papers). The work is most often cited by research in Genetics (283 citations), Cancer Research (199 citations) and Orthopedics and Sports Medicine (109 citations). Jun Zhu has collaborated with scholars based in China, United States and France. Frequent co-authors include James A. Ankrum, Fazheng Ren, Ming Zhang, Yiqin Zhou, Shaoyang Ge, Qirong Qian, Qiwei Fu, Lexiang Li, Yi Chen and Bing Fang. Their work appears in journals such as Journal of Clinical Oncology, Blood and Cancer Research.

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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