Jing Liu

14.6k total citations · 3 hit papers
268 papers, 9.9k citations indexed

About

Jing Liu is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Jing Liu has authored 268 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Molecular Biology, 46 papers in Physiology and 39 papers in Cancer Research. Recurrent topics in Jing Liu's work include Ubiquitin and proteasome pathways (52 papers), Protein Degradation and Inhibitors (40 papers) and Adipose Tissue and Metabolism (25 papers). Jing Liu is often cited by papers focused on Ubiquitin and proteasome pathways (52 papers), Protein Degradation and Inhibitors (40 papers) and Adipose Tissue and Metabolism (25 papers). Jing Liu collaborates with scholars based in China, United States and Japan. Jing Liu's co-authors include Wenyi Wei, Yunhua Peng, Jian Jin, Yangqing Xu, Adrian Salic, C.T. Walsh, Xiuli An, Narla Mohandas, H. Ümit Kanıskan and Joel Anne Chasis and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Jing Liu

255 papers receiving 9.8k citations

Hit Papers

Cell cycle on the crossroad of tumorigenesis and cancer t... 2020 2026 2022 2024 2021 2020 2021 50 100 150 200 250

Peers

Jing Liu
Comparison fields: 5 of 154
  • Molecular Biology 6.1k
  • Physiology 1.6k
  • Oncology 1.5k
  • Cancer Research 1.1k
  • Epidemiology 1.0k
Replace Feng Li with:
Feng Li China
Peng Li China
Kenichi Yoshida Japan
Ignacio A. Romero United Kingdom
Jack L. Arbiser United States
Alan W. Stitt United Kingdom
Chuen‐Mao Yang Taiwan
Nader Sheibani United States
Jun‐ichi Abe United States
Massimo Bonora Italy
Feng Li China View profile →
Citations per field, relative to Jing Liu
Jing Liu · 1×
Citations per year, relative to Jing Liu
Jing Liu · 1×

Countries citing papers authored by Jing Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jing Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Liu. A scholar is included among the top collaborators of Jing 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 Jing Liu. Jing 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
# Work Indexed citations
1 1
2 0
3 2
4 12
5 19
6 33
7 5
8 19
9 9
10
Adipose Dysfunction in Adulthood Insulin Resistance of Low-Birth Weight Mice: A Proteomics Study
2
11 42
12 30
13 178
14 13
15 33
16 19
17 12
18 99
19 232
20
PK/PD modeling of biomarker (p-ERK) response and tumor growth to PD 0325901 in a human tumor xenograft mouse model
2

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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