Zhihua Liu

19.6k citations
312 papers · 11.5k indexed · 5 hit papers · h-index 53
Topics
RNA modifications and cancer (40 papers)Cancer-related gene regulation (34 papers)Ubiquitin and proteasome pathways (27 papers)

In The Last Decade

Zhihua Liu

297 papers receiving 11.4k citations

Hit Papers

Termination of autophagy and reformation of lysosomes reg...2002202620102018201020022021202420254008001.2k

Peers

Zhihua Liu
Comparison fields: 5 of 173
  • Molecular Biology 6.4k
  • Cancer Research 2.5k
  • Oncology 1.9k
  • Epidemiology 1.9k
  • Immunology 1.3k
Replace Jing Zhang with:
Jing Zhang China
Li Li China
Xiao Yang China
Cornelis J.F. Van Noorden Netherlands
Yan Chen China
B. Mark Evers United States
Zhigang Zhang China
Michael Hsiao Taiwan
Jing Liu China
Herman Yee United States
Zhihua Liu relative to Jing Zhang China Jing Zhang's profile →
Citations per field
00.5×1.5×1.9×
Jing Zhang · 1×
Citations per year

Countries citing papers authored by Zhihua Liu

Since Specialization
Citations

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

Fields of papers citing papers by Zhihua Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhihua Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhihua Liu. A scholar is included among the top collaborators of Zhihua Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhihua Liu. Zhihua Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 3
3 3
4 1
5 0
6 22
7 32
8 28
9
Transcranial Direct Current Stimulation Attenuates the Chronic Pain of Osteoarthritis in Rats via Reducing NMDAR2B Expressions in the Spinal Cord.
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10 1
11 4
12 21
13 49
14 35
15 32
16 10
17 24
18 51
19 36
20 86

About Zhihua Liu

Zhihua Liu is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 312 papers that have together received 11.5k indexed citations. Recurring topics across this work include RNA modifications and cancer (40 papers), Cancer-related gene regulation (34 papers) and Ubiquitin and proteasome pathways (27 papers). The work is most often cited by research in Cancer Research (2.5k citations), Molecular Biology (6.4k citations) and Physiology (325 citations). Zhihua Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Aiping Luo, Fang Ding, Peter T. Lansbury, Hilal A. Lashuel, Lara Fallon, Yichin Liu, Fang Ding, Jinlin Hou, Hongyan Chen and Michael J. Lenardo. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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