Li Z

2.9k citations
290 papers · 2.1k · h-index 21

Impact in

Papers in

Li Z

272 papers receiving 2.0k citations

Peers

Li Z
Comparison fields: 5 of 134
  • Cancer Research 267
  • Molecular Medicine 71
  • Molecular Biology 800
  • Endocrinology 42
  • Immunology and Allergy 43
Replace Jiang Huai Wang with:
Jiang Huai Wang Ireland
Mehrdad Behmanesh Iran
Chan‐Wha Kim South Korea
Xia Chen China
Long Chen China
Andreas Pich Germany
Yue Zhang China
Tianfu Wu United States
Ya‐Jen Chang Taiwan
Mi-Sung Kim South Korea
Li Z relative to Jiang Huai Wang Ireland Jiang Huai Wang's profile →
Citations per field
00.5×3.2×
Jiang Huai 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 290 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010128
2 2021107
3 2013101
4 201570
5 200657
6 200853
7 202348
8 200944
9 201643
10 201141
11
Identification of miR-18a-5p as an oncogene and prognostic biomarker in RCC.
201834
12 200533
13 201026
14 202024
15
Human immunodeficiency virus load. Quantitative assessment in semen from seropositive individuals and in spiked seminal plasma.
199523
16 201822
17
[Susceptibility to lung cancer in Chinese is associated with genetic polymorphism in cytochrome P4502E1].
200022
18 202322
19 201522
20 201921

About Li Z

Li Z is a scholar working on Molecular Biology, Surgery, Cancer Research, Pulmonary and Respiratory Medicine and Oncology, having authored 290 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (17 papers), Circular RNAs in diseases (7 papers), RNA modifications and cancer (7 papers), Healthcare and Venom Research (6 papers), MicroRNA in disease regulation (6 papers), Hepatitis B Virus Studies (5 papers), Lung Cancer Treatments and Mutations (5 papers) and Asymmetric Hydrogenation and Catalysis (4 papers). The work is most often cited by research in Cancer Research (267 citations), Molecular Medicine (71 citations), Molecular Biology (800 citations), Endocrinology (42 citations) and Immunology and Allergy (43 citations). Li Z has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Mei Lin, Fujin Wang, Yue‐zhong Li, Xiaoqian Feng, Wubin Qu, Zhiyong Shen, Chenggang Zhang, Yonghong Wu, Xingyi Hang and Ting Guo. Their work appears in journals such as Frontiers in Oncology, Blood, World Journal of Urology, Advanced Synthesis & Catalysis and Journal of Bacteriology.

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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