Li Z

2.8k citations
286 papers · 2.0k · h-index 21

Impact in

Papers in

Li Z

267 papers receiving 2.0k citations

Peers

Li Z
Comparison fields: 5 of 141
  • Cancer Research 317
  • Molecular Medicine 74
  • Molecular Biology 907
  • Endocrinology 46
  • Immunology and Allergy 48
Replace Xiaoting Wang with:
Xiaoting Wang China
Arianne L. Theiss United States
Hong Lu China
Min Long China
Xiaofeng Lu China
Mehrdad Behmanesh Iran
Jiang Huai Wang Ireland
Adeel Chaudhary Saudi Arabia
Long Chen China
Xia Chen China
Li Z relative to Xiaoting Wang China Xiaoting Wang's profile →
Citations per field
00.5×1.5×1.8×
Xiaoting Wang · 1×
Citations per year

Countries citing papers authored by Li Z

Since Specialization
Citations

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

Fields of papers citing papers by Li Z

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 286 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010127
2 201399
3 202193
4 201569
5 200657
6 200853
7 200944
8 201643
9 201141
10 202340
11
Identification of miR-18a-5p as an oncogene and prognostic biomarker in RCC.
201834
12 200532
13 201026
14
Human immunodeficiency virus load. Quantitative assessment in semen from seropositive individuals and in spiked seminal plasma.
199523
15 202023
16 202322
17 201522
18 201822
19
[Susceptibility to lung cancer in Chinese is associated with genetic polymorphism in cytochrome P4502E1].
200022
20 201921

About Li Z

Li Z is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Surgery and Epidemiology, having authored 286 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (23 papers), RNA modifications and cancer (14 papers), MicroRNA in disease regulation (12 papers), Circular RNAs in diseases (10 papers), Liver Disease Diagnosis and Treatment (10 papers), Hepatitis B Virus Studies (9 papers), Lung Cancer Treatments and Mutations (8 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Cancer Research (317 citations), Molecular Medicine (74 citations), Molecular Biology (907 citations), Endocrinology (46 citations) and Immunology and Allergy (48 citations). Li Z has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Mei Lin, Yue‐zhong Li, Fujin Wang, Xiaoqian Feng, Yonghong Wu, Zhiyong Shen, Wubin Qu, Xingyi Hang, Chenggang Zhang and Wei Hu. Their work appears in journals such as Frontiers in Oncology, Advanced Synthesis & Catalysis, Journal of Bacteriology, World Journal of Urology and Blood.

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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