Jun Lü

4.1k citations
187 papers · 2.8k · h-index 28

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics
  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • RNA modifications and cancer 12
    • Lung Cancer Research Studies 18
    • Pancreatic and Hepatic Oncology Research 17
    • Cancer Immunotherapy and Biomarkers 15

Jun Lü

176 papers receiving 2.8k citations

Peers

Jun Lü
Comparison fields: 5 of 119
  • Cancer Research 777
  • Oncology 664
  • Molecular Biology 1.2k
  • Pulmonary and Respiratory Medicine 439
  • Hepatology 78
Replace Bo Feng with:
Bo Feng China
Side Liu China
Chunmei Bai China
Geng Zhang China
Yiming Zhao China
Koji Fukuda Japan
Shinya Ohashi Japan
Naoya Sakamoto Japan
Jian Xu China
Lin Xia China
Jun Lü relative to Bo Feng China Bo Feng's profile →
Citations per field
00.5×1.5×1.8×
Bo Feng · 1×
Citations per year

Countries citing papers authored by Jun Lü

Since Specialization
Citations

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

Fields of papers citing papers by Jun Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 187 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018168
2 201485
3 202075
4
CCAT1 promotes hepatocellular carcinoma cell proliferation and invasion.
201573
5 200171
6 201868
7 201867
8 201967
9 201656
10 201949
11 202045
12 202144
13 201144
14 201943
15 201941
16 202040
17 201639
18 202337
19 201537
20 202036

About Jun Lü

Jun Lü is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 187 papers that have together received 2.8k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (23 papers), Lung Cancer Research Studies (18 papers), Pancreatic and Hepatic Oncology Research (17 papers), Cancer Genomics and Diagnostics (15 papers), Cancer Immunotherapy and Biomarkers (15 papers), RNA modifications and cancer (12 papers), Cancer-related molecular mechanisms research (11 papers) and Lung Cancer Diagnosis and Treatment (10 papers). The work is most often cited by research in Cancer Research (777 citations), Oncology (664 citations), Molecular Biology (1.2k citations), Pulmonary and Respiratory Medicine (439 citations) and Hepatology (78 citations). Jun Lü has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Baohui Han, Bolun Jiang, Junchao Guo, Li Zhou, Yizhi Wang, Xiaodong Zhao, Shun Ke, Fankai Meng, Ruichao Li and Minghao Fang. Their work appears in journals such as Frontiers in Oncology, Cell Death and Disease, Frontiers in Immunology, Cancer Letters and Cancer Cell International.

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.

Explore authors with similar magnitude of impact