Jianjun Chu

1.1k citations
45 papers · 891 · h-index 14

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Oncology top 10%
    • CAR-T cell therapy research

Papers in

Jianjun Chu

41 papers receiving 862 citations

Peers

Jianjun Chu
Comparison fields: 5 of 113
  • Immunology 297
  • Oncology 353
  • Hematology 100
  • Otorhinolaryngology 27
  • Cancer Research 51
Replace Sharada Sawant with:
Sharada Sawant India
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Qi Cai United States
Tiina Jokela Finland
Jingjing Yu China
Gangyang Wang China
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Jianjun Chu relative to Sharada Sawant India Sharada Sawant's profile →
Citations per field
00.5×2×4×6.1×
Sharada Sawant · 1×
Citations per year

Countries citing papers authored by Jianjun Chu

Since Specialization
Citations

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

Fields of papers citing papers by Jianjun Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013393
2 201559
3 200941
4 200637
5 201529
6 201728
7 201527
8 202222
9 201621
10 201519
11 201619
12 201717
13 201516
14 202415
15 202212
16 201412
17 202411
18 202311
19 201710
20 20159

About Jianjun Chu

Jianjun Chu is a scholar working on Surgery, Molecular Biology, Oncology, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 45 papers that have together received 891 indexed citations. Recurring topics across this work include Orthopedic Infections and Treatments (11 papers), Orthopaedic implants and arthroplasty (7 papers), Bone Tissue Engineering Materials (5 papers), Head and Neck Cancer Studies (3 papers), Antimicrobial agents and applications (2 papers), Antimicrobial Peptides and Activities (2 papers), Bee Products Chemical Analysis (2 papers) and Effects of Radiation Exposure (2 papers). The work is most often cited by research in Immunology (297 citations), Oncology (353 citations), Hematology (100 citations), Otorhinolaryngology (27 citations) and Cancer Research (51 citations). Jianjun Chu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shun He, Tiffany Hughes, Kalpana Ghoshal, Yong Peng, Craig C. Hofmeister, D.M. Benson, Jian Zhang, Xiaoliu Zhang, Xiaoming He and Ling Yi. Their work appears in journals such as Journal of Orthopaedic Surgery and Research, Oncotarget, RSC Advances, Environmental Toxicology and Pharmacology and Child s Nervous System.

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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