Renbao Chang

1.8k total citations · 2 hit papers
7 papers, 1.3k citations indexed

About

Renbao Chang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Renbao Chang has authored 7 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 1 paper in Surgery. Recurrent topics in Renbao Chang's work include RNA modifications and cancer (3 papers), Cancer-related gene regulation (3 papers) and Mitochondrial Function and Pathology (2 papers). Renbao Chang is often cited by papers focused on RNA modifications and cancer (3 papers), Cancer-related gene regulation (3 papers) and Mitochondrial Function and Pathology (2 papers). Renbao Chang collaborates with scholars based in China, United States and Australia. Renbao Chang's co-authors include Marc B. Bissonnette, Urszula Dougherty, Meng Xu, Dali Han, Chuanyuan Chen, Yi Liu, Xiaona Huang, Yuanyuan Liu, Jun Liu and Bin Shen and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Renbao Chang

7 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Anti-tumour immunity controlled through mRNA m6A methylation and YTHDF1 in dendritic cells

2019 737 citations Dali Han, Jun Liu et al. Nature profile →
The loss of RNA N6-adenosine methyltransferase Mettl14 in tumor-associated macrophages promotes CD8+ T cell dysfunction and tumor growth

2021 201 citations Chuanyuan Chen, Yawei Zhang et al. Cancer Cell profile →

Peers

Renbao Chang

MB

CR

ONCOL

IMMUN

CMN

Ilana Zucker-Scharff United States

Ernesto Lujan United States

Johanna M. Niers United States

Anton G. Henssen Germany

Virginie Marty France

Jian Xian United Kingdom

Germana Falcone Italy

Rune Thomsen Denmark

Bastian Linder Germany

Carly Leung Switzerland

Ilana Zucker-Scharff United States

Renbao Chang

1.1k ×1.0

MB

373 ×0.7

CR

72 ×0.3

ONCOL

61 ×0.3

IMMUN

66 ×0.4

CMN

Citations per year, relative to Renbao Chang Renbao Chang (= 1×) peers Ilana Zucker-Scharff

Countries citing papers authored by Renbao Chang

Since Specialization

Citations

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

Fields of papers citing papers by Renbao Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renbao Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Renbao Chang. A scholar is included among the top collaborators of Renbao Chang 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 Renbao Chang. Renbao Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Chen, Chuanyuan, Yawei Zhang, Zhenghang Wang, et al.. (2021). The loss of RNA N6-adenosine methyltransferase Mettl14 in tumor-associated macrophages promotes CD8+ T cell dysfunction and tumor growth. Cancer Cell. 39(7). 945–957.e10. 201 indexed citations breakdown →

2.

Han, Dali, Jun Liu, Chuanyuan Chen, et al.. (2019). Author Correction: Anti-tumour immunity controlled through mRNA m6A methylation and YTHDF1 in dendritic cells. Nature. 568(7751). E3–E3. 22 indexed citations

3.

Han, Dali, Jun Liu, Chuanyuan Chen, et al.. (2019). Anti-tumour immunity controlled through mRNA m6A methylation and YTHDF1 in dendritic cells. Nature. 566(7743). 270–274. 737 indexed citations breakdown →

4.

Yang, Su, Renbao Chang, Huiming Yang, et al.. (2017). CRISPR/Cas9-mediated gene editing ameliorates neurotoxicity in mouse model of Huntington’s disease. Journal of Clinical Investigation. 127(7). 2719–2724. 277 indexed citations

5.

Yang, Su, Huiming Yang, Renbao Chang, et al.. (2017). MANF regulates hypothalamic control of food intake and body weight. Nature Communications. 8(1). 579–579. 51 indexed citations

6.

Yin, Peng, Zhuchi Tu, Yin An, et al.. (2014). Aged monkey brains reveal the role of ubiquitin-conjugating enzyme UBE2N in the synaptosomal accumulation of mutant huntingtin. Human Molecular Genetics. 24(5). 1350–1362. 26 indexed citations

7.

Chang, Renbao, et al.. (1989). Transgenic mice as a model to test the immunogenicity of proteins altered by site-specific mutagenesis.. PubMed. 6(4). 275–81. 32 indexed citations

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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