Ren Liu

1.7k citations
46 papers · 1.3k indexed · h-index 18
Topics
Axon Guidance and Neuronal Signaling (10 papers)Viral Infectious Diseases and Gene Expression in Insects (10 papers)Angiogenesis and VEGF in Cancer (7 papers)
Journals
Journal of Biological ChemistryJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Ren Liu

44 papers receiving 1.2k citations

Peers

Ren Liu
Comparison fields: 5 of 97
  • Molecular Biology 874
  • Cell Biology 280
  • Oncology 214
  • Cellular and Molecular Neuroscience 198
  • Immunology 127
Replace Urs Lewandrowski with:
Urs Lewandrowski Germany
Priam Villalonga Spain
Marie Knockaert France
Emmanuel Normant United States
Robert A. Horlick United States
Ester Fernández‐Salas United States
Boaz Inbal Israel
Takafumi Miyamoto Japan
Marı́a J. Caloca Spain
Larissa Kotelevets France
Ren Liu relative to Urs Lewandrowski Germany Urs Lewandrowski's profile →
Citations per field
00.5×1.5×2.5×
Urs Lewandrowski · 1×
Citations per year

Countries citing papers authored by Ren Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ren Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ren Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ren Liu. A scholar is included among the top collaborators of Ren 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 Ren Liu. Ren 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 0
2 2
3 1
4 7
5 32
6 4
7 0
8 1
9 13
10 2
11 2
12 8
13 31
14 56
15 16
16 262
17 72
18 74
19 123
20 20

About Ren Liu

Ren Liu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (10 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers) and Angiogenesis and VEGF in Cancer (7 papers). The work is most often cited by research in Cell Biology (280 citations), Molecular Biology (874 citations) and Cellular and Molecular Neuroscience (198 citations). Ren Liu has collaborated with scholars based in United States, China and Portugal. Frequent co-authors include Parkash S. Gill, Amy S. Lee, Yi Zhang, Min Ni, Valery Krasnoperov, Binghui Shen, Li Zheng, Purnima Singh, Junzhuan Qiu and Jeffrey S. Scehnet. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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