Junjun Chu

1.5k citations
25 papers · 1.1k · h-index 17

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

    • Cancer-related molecular mechanisms research 3
    • MicroRNA in disease regulation 2
    • Immunotherapy and Immune Responses 3

Junjun Chu

25 papers receiving 1.1k citations

Peers

Junjun Chu
Comparison fields: 5 of 71
  • Cancer Research 275
  • Genetics 122
  • Oncology 194
  • Immunology 93
  • Molecular Biology 299
Replace Jérôme Gouttenoire with:
Jérôme Gouttenoire Switzerland
Zhuoran Zhang China
Matthew W. VanBrocklin United States
Gilles A. Spoden Germany
Krysta Mila Coyle Canada
Sanchari Bhattacharyya United States
Weining Wu China
Zhengqiang Miao Macao
Sabine Druillennec France
Lu Dai United States
Junjun Chu relative to Jérôme Gouttenoire Switzerland Jérôme Gouttenoire's profile →
Citations per field
00.5×2×3.0×
Jérôme Gouttenoire · 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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018179
2 2021132
3 2018119
4 2021104
5 201577
6 201559
7 201850
8 201547
9 201747
10 201947
11 201846
12 202240
13 202432
14 202229
15 201827
16 201520
17 201919
18 201717
19 202213
20 202310

About Junjun Chu

Junjun Chu is a scholar working on Cancer Research, Immunology, Oncology, Molecular Biology and Infectious Diseases, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Immunotherapy and Immune Responses (3 papers), Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (2 papers), Gut microbiota and health (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Radiopharmaceutical Chemistry and Applications (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Cancer Research (275 citations), Genetics (122 citations), Oncology (194 citations), Immunology (93 citations) and Molecular Biology (299 citations). Junjun Chu has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Rong‐Fu Wang, Changsheng Xing, Helen Y. Wang, Tianhao Duan, Qianquan Ma, Bingnan Yin, Wenyong Long, Yinghua Zhu, Qing Liu and Yang Du. Their work appears in journals such as Oncotarget, Nature Communications, Frontiers in Immunology, Journal of Clinical Investigation and Science Translational Medicine.

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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