Daojun Lv

2.4k citations
61 papers · 1.6k · h-index 22

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation

Papers in

Daojun Lv

55 papers receiving 1.6k citations

Peers

Daojun Lv
Comparison fields: 5 of 103
  • Cancer Research 557
  • Molecular Biology 931
  • Pulmonary and Respiratory Medicine 248
  • Oncology 162
  • Aging 11
Replace Atsushi Yamamoto with:
Atsushi Yamamoto Japan
Meredith E. Crosby United States
Fangpeng Shu China
Weiqun Chen China
Wanfu Xu China
Zhanjun Hou United States
Jingjing Yu China
Quanyan Liu China
Yangjing Zhao China
Franco Conforti United Kingdom
Daojun Lv relative to Atsushi Yamamoto Japan Atsushi Yamamoto's profile →
Citations per field
00.5×2×4×5.2×
Atsushi Yamamoto · 1×
Citations per year

Countries citing papers authored by Daojun Lv

Since Specialization
Citations

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

Fields of papers citing papers by Daojun Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020175
2 2022162
3 2022117
4 201897
5 202188
6 202274
7 201960
8 202350
9 202047
10 202142
11 202142
12 202138
13 202238
14 201735
15 201732
16 201629
17 202429
18
Expression of PGAM1 in renal clear cell carcinoma and its clinical significance.
201527
19 201925
20 201824

About Daojun Lv

Daojun Lv is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Oncology and Reproductive Medicine, having authored 61 papers that have together received 1.6k indexed citations. Recurring topics across this work include Circular RNAs in diseases (14 papers), Cancer-related molecular mechanisms research (11 papers), RNA modifications and cancer (7 papers), Ferroptosis and cancer prognosis (7 papers), Prostate Cancer Treatment and Research (6 papers), MicroRNA in disease regulation (5 papers), RNA Research and Splicing (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Cancer Research (557 citations), Molecular Biology (931 citations), Pulmonary and Respiratory Medicine (248 citations), Oncology (162 citations) and Aging (11 citations). Daojun Lv has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Fangpeng Shu, Xumin Zhou, Yu‐Zhong Yu, Chong Wang, Xian‐Lu Song, Shan‐Chao Zhao, Kaihui Wu, Taowei Yang, Junqi Luo and Zining Long. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Oncotarget, Cell Death Discovery, Cell Death and Disease and Annals of Oncology.

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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