Yibao Yang

481 total citations
11 papers, 397 citations indexed

About

Yibao Yang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yibao Yang has authored 11 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Yibao Yang's work include Cancer-related molecular mechanisms research (4 papers), Ubiquitin and proteasome pathways (2 papers) and Cancer-related Molecular Pathways (2 papers). Yibao Yang is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), Ubiquitin and proteasome pathways (2 papers) and Cancer-related Molecular Pathways (2 papers). Yibao Yang collaborates with scholars based in China, United States and Germany. Yibao Yang's co-authors include Anquan Shang, Chenzheng Gu, Junlu Wu, Zujun Sun, Bingjie Zeng, Chen Chen, Weiwei Wang, Wenying Lu, Ping Ji and Junjun Sun and has published in prestigious journals such as The FASEB Journal, American Journal of Physiology-Gastrointestinal and Liver Physiology and Theranostics.

In The Last Decade

Yibao Yang

10 papers receiving 391 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yibao Yang China 6 244 205 130 100 36 11 397
Cherlie Lot Sum Yeung Hong Kong 7 186 0.8× 143 0.7× 59 0.5× 36 0.4× 52 1.4× 11 270
Andrea Sobo-Vujanovic United States 4 366 1.5× 200 1.0× 160 1.2× 41 0.4× 12 0.3× 4 435
Chérine Abou Fayçal France 11 177 0.7× 73 0.4× 69 0.5× 72 0.7× 28 0.8× 14 301
David Eisel Germany 8 151 0.6× 60 0.3× 264 2.0× 82 0.8× 27 0.8× 14 387
Chunlai Yin China 9 239 1.0× 155 0.8× 155 1.2× 58 0.6× 42 1.2× 16 405
Lei Chang China 8 271 1.1× 216 1.1× 47 0.4× 42 0.4× 38 1.1× 12 373
Jianqi Wu China 10 183 0.8× 111 0.5× 142 1.1× 59 0.6× 144 4.0× 18 380
Juan Gu China 12 398 1.6× 318 1.6× 52 0.4× 55 0.6× 56 1.6× 21 529

Countries citing papers authored by Yibao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yibao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yibao Yang

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

All Works

11 of 11 papers shown
2.
Wang, Jiayong, Zujun Sun, Yibao Yang, et al.. (2021). Association of laboratory parameters and genetic polymorphisms with ischemic stroke in Chinese Han population. Experimental and Therapeutic Medicine. 21(5). 490–490. 5 indexed citations
3.
Shang, Anquan, Chenzheng Gu, Chen Zhou, et al.. (2020). Exosomal KRAS mutation promotes the formation of tumor-associated neutrophil extracellular traps and causes deterioration of colorectal cancer by inducing IL-8 expression. Cell Communication and Signaling. 18(1). 52–52. 100 indexed citations
4.
Shang, Anquan, Weiwei Wang, Chenzheng Gu, et al.. (2020). Correction to: Long non-coding RNA HOTTIP enhances IL-6 expression to potentiate immune escape of ovarian cancer cells by upregulating the expression of PD-L1 in neutrophils. Journal of Experimental & Clinical Cancer Research. 39(1). 3 indexed citations
5.
Sun, Junjun, Xuan Wang, Wenfang Liu, et al.. (2020). Novel evidence for retinoic acid‐induced G (Rig‐G) as a tumor suppressor by activating p53 signaling pathway in lung cancer. The FASEB Journal. 34(9). 11900–11912. 10 indexed citations
6.
Ji, Ping, Yibao Yang, Junlu Wu, et al.. (2019). Myeloid cell-derived LL-37 promotes lung cancer growth by activating Wnt/β-catenin signaling. Theranostics. 9(8). 2209–2223. 39 indexed citations
7.
Shang, Anquan, Weiwei Wang, Chenzheng Gu, et al.. (2019). Long non-coding RNA HOTTIP enhances IL-6 expression to potentiate immune escape of ovarian cancer cells by upregulating the expression of PD-L1 in neutrophils. Journal of Experimental & Clinical Cancer Research. 38(1). 272–272. 160 indexed citations
8.
Yang, Yibao, Ping Ji, Xuan Wang, et al.. (2019). Bronchoalveolar Lavage Fluid-Derived Exosomes: A Novel Role Contributing to Lung Cancer Growth. Frontiers in Oncology. 9. 197–197. 17 indexed citations
9.
Sun, Junjun, Xuan Wang, Wenfang Liu, et al.. (2019). Novel Evidence for Retinoic Acid-Induced G (Rig-G) as a Tumor Suppressor by Activating P53 Signaling Pathway in Lung Cancer. SSRN Electronic Journal. 1 indexed citations
10.
11.
Shang, Anquan, Weiwei Wang, Yibao Yang, et al.. (2019). Knockdown of long noncoding RNA PVT1 suppresses cell proliferation and invasion of colorectal cancer via upregulation of microRNA-214-3p. American Journal of Physiology-Gastrointestinal and Liver Physiology. 317(2). G222–G232. 60 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026