Chao Lü

1.5k citations
51 papers · 1.1k · h-index 19

Impact in

    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • Endometriosis Research and Treatment

Papers in

Chao Lü

45 papers receiving 1.1k citations

Peers

Chao Lü
Comparison fields: 5 of 123
  • Cancer Research 311
  • Reproductive Medicine 123
  • Obstetrics and Gynecology 66
  • Molecular Biology 522
  • Immunology 152
Replace María Ángeles Castilla with:
María Ángeles Castilla Spain
Antigone Sourla Greece
Mingjun Zheng China
Yuichiro Nagai Japan
Even Birkeland Norway
Xiaoping Wan China
Suh‐Chin J. Lin United States
Ginesa García‐Rostán Spain
Masafumi Toyoshima Japan
Xiao-Ping Zhou United States
Chao Lü relative to María Ángeles Castilla Spain María Ángeles Castilla's profile →
Citations per field
00.5×5.7×
María Ángeles Castilla · 1×
Citations per year

Countries citing papers authored by Chao Lü

Since Specialization
Citations

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

Fields of papers citing papers by Chao Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019276
2 202184
3 201974
4 202270
5 202147
6 202042
7 202341
8 202236
9 201632
10 202232
11 200830
12 202228
13 202027
14 202226
15 202025
16 202220
17 201019
18 202019
19 201818
20 201818

About Chao Lü

Chao Lü is a scholar working on Molecular Biology, Oncology, Reproductive Medicine, Genetics and Pulmonary and Respiratory Medicine, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (9 papers), Peptidase Inhibition and Analysis (5 papers), Estrogen and related hormone effects (4 papers), Ubiquitin and proteasome pathways (3 papers), Reproductive System and Pregnancy (3 papers), Cancer Mechanisms and Therapy (3 papers), Genetic and Kidney Cyst Diseases (3 papers) and Uterine Myomas and Treatments (3 papers). The work is most often cited by research in Cancer Research (311 citations), Reproductive Medicine (123 citations), Obstetrics and Gynecology (66 citations), Molecular Biology (522 citations) and Immunology (152 citations). Chao Lü has collaborated with scholars based in China and United States. Frequent co-authors include Chune Ren, Zhenhai Yu, Pengyun Qiao, Yonghong Sun, Xue Han, Tingting Yang, Jianfeng Hou, Weihua Ren, Yabin Wu and Hanjun Wang. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Cell Death and Differentiation, Biology of Reproduction, Frontiers in Oncology and Frontiers in Pharmacology.

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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