Junjun Chu

1.4k citations
23 papers · 1.0k indexed · h-index 16

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Oncology top 10%

Papers in

    • Immunotherapy and Immune Responses 5
    • Cancer Cells and Metastasis 3
    • CAR-T cell therapy research 3

Junjun Chu

23 papers receiving 994 citations

Peers

Junjun Chu
Comparison fields: 5 of 103
  • Cancer Research 312
  • Oncology 256
  • Immunology 190
  • Molecular Biology 608
  • Genetics 71
Replace Hai Hu with:
Hai Hu China
Ivana Jovčevska Slovenia
Leonardo Josué Castro-Muñoz Mexico
Yuli Wang China
Mostafa Manian Iran
Hossein Safarpour Iran
Brenda K. Eustace United States
Alexandra Flemming United States
Jiang Ren China
Niranjan B. Pandey United States
Junjun Chu relative to Hai Hu China Hai Hu's profile →
Citations per field
00.5×1.5×1.9×
Hai Hu · 1×
Citations per year

Countries citing papers authored by Junjun Chu

Since Specialization
Citations

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

Fields of papers citing papers by Junjun Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018172
2 2021116
3 2018110
4 202188
5 201578
6 201557
7 201851
8 201943
9 201742
10 201840
11 202233
12 202227
13 202026
14 201825
15 202121
16 201519
17 201715
18 201914
19 202211
20 20237

About Junjun Chu

Junjun Chu is a scholar working on Immunology, Oncology, Cancer Research, Biotechnology and Infectious Diseases, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), RNA modifications and cancer (4 papers), Cancer Cells and Metastasis (3 papers), CAR-T cell therapy research (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer Research and Treatments (2 papers), Epigenetics and DNA Methylation (2 papers) and BRCA gene mutations in cancer (2 papers). The work is most often cited by research in Cancer Research (312 citations), Oncology (256 citations), Immunology (190 citations), Molecular Biology (608 citations) and Genetics (71 citations). Junjun Chu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Rong‐Fu Wang, Changsheng Xing, Helen Y. Wang, Qianquan Ma, Wenyong Long, Qing Liu, Mei Luo, Yinghua Zhu, Tianhao Duan and Bingnan Yin. Their work appears in journals such as Oncotarget, Frontiers in Immunology, JNCI Journal of the National Cancer Institute, Nature Communications and Cell Host & Microbe.

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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