Junjun Liu

715 citations
15 papers · 529 · h-index 12

Impact in

  • Cell Biology top 10%
    • Microtubule and mitosis dynamics
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • Ubiquitin and proteasome pathways 4
    • Circular RNAs in diseases 3
    • RNA Research and Splicing 2
    • Cancer-related Molecular Pathways 5
    • HER2/EGFR in Cancer Research 2

Junjun Liu

15 papers receiving 525 citations

Peers

Junjun Liu
Comparison fields: 5 of 74
  • Cell Biology 177
  • Cancer Research 133
  • Molecular Biology 395
  • Genetics 108
  • Oncology 86
Replace Koichi Utani with:
Koichi Utani Japan
Patrı́cia Carneiro Portugal
Florence Larminat France
René Meyer United States
Hannah Williams United Kingdom
Michelle S. Levine United States
John Peter McPherson Canada
Jinhua Xu United States
María Guillamot United States
Kai He China
Junjun Liu relative to Koichi Utani Japan Koichi Utani's profile →
Citations per field
00.5×2.8×
Koichi Utani · 1×
Citations per year

Countries citing papers authored by Junjun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Junjun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2013124
2 200992
3 202055
4 202043
5 201541
6 202128
7 201527
8 201726
9 201926
10 201525
11 201515
12 201714
13
Predictors of recurrence in breast cancer subtypes with negative lymph node in a Chinese population.
20147
14
TrkC expression predicts favorable clinical outcome in invasive ductal carcinoma of breast independent of NT-3 expression.
20145
15 20231

About Junjun Liu

Junjun Liu is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Organic Chemistry, having authored 15 papers that have together received 529 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Microtubule and mitosis dynamics (5 papers), Ubiquitin and proteasome pathways (4 papers), Breast Cancer Treatment Studies (3 papers), Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (2 papers), HER2/EGFR in Cancer Research (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cell Biology (177 citations), Cancer Research (133 citations), Molecular Biology (395 citations), Genetics (108 citations) and Oncology (86 citations). Junjun Liu has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Chuanmao Zhang, Qing Jiang, Xiaoyan Zhang, Boyan Zhang, Gang Wang, Qiang Chen, Qiang Chen, Junjie Hou, Fuquan Yang and Jinhui Lü. Their work appears in journals such as Journal of Cell Science, Cancers, The Journal of Cell Biology, The International Journal of Biochemistry & Cell Biology and Journal of Biological Chemistry.

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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