Yabin Cheng

1.3k total citations
34 papers, 935 citations indexed

About

Yabin Cheng is a scholar working on Molecular Biology, Oncology and Immunology and Allergy. According to data from OpenAlex, Yabin Cheng has authored 34 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 15 papers in Oncology and 8 papers in Immunology and Allergy. Recurrent topics in Yabin Cheng's work include Melanoma and MAPK Pathways (11 papers), Cell Adhesion Molecules Research (8 papers) and Cutaneous Melanoma Detection and Management (7 papers). Yabin Cheng is often cited by papers focused on Melanoma and MAPK Pathways (11 papers), Cell Adhesion Molecules Research (8 papers) and Cutaneous Melanoma Detection and Management (7 papers). Yabin Cheng collaborates with scholars based in Canada, China and Germany. Yabin Cheng's co-authors include Magdalena Martinka, Gang Li, Gang Li, Guangdi Chen, Guohong Zhang, Kevin J. McElwee, Yun Tang, Hongwei Guo, Dieter A Wolf and Jerry Shapiro and has published in prestigious journals such as The EMBO Journal, Molecular Cell and PLoS ONE.

In The Last Decade

Yabin Cheng

32 papers receiving 924 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yabin Cheng Canada 20 686 334 148 105 104 34 935
Ti Cai United States 12 812 1.2× 340 1.0× 319 2.2× 234 2.2× 176 1.7× 27 1.2k
Vladimir Grachtchouk United States 10 810 1.2× 241 0.7× 204 1.4× 68 0.6× 106 1.0× 11 1.0k
Enhao Cheng China 8 739 1.1× 360 1.1× 134 0.9× 149 1.4× 221 2.1× 9 990
Ruzanna Atoyan United States 14 772 1.1× 241 0.7× 69 0.5× 72 0.7× 155 1.5× 21 1.1k
Young Jin Gi United States 11 800 1.2× 483 1.4× 338 2.3× 51 0.5× 110 1.1× 18 1.1k
Soufiane Boumahdi United States 4 836 1.2× 560 1.7× 356 2.4× 132 1.3× 117 1.1× 4 1.2k
Martina Keith Germany 10 419 0.6× 155 0.5× 115 0.8× 34 0.3× 220 2.1× 15 685
Minh D. To United States 18 897 1.3× 412 1.2× 297 2.0× 140 1.3× 106 1.0× 26 1.2k
Victoria da Silva-Diz United States 9 691 1.0× 616 1.8× 345 2.3× 104 1.0× 87 0.8× 16 1.1k
Amit J. Sabnis United States 13 562 0.8× 245 0.7× 113 0.8× 101 1.0× 105 1.0× 32 951

Countries citing papers authored by Yabin Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Yabin Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yabin Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Yabin Cheng. A scholar is included among the top collaborators of Yabin Cheng 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 Yabin Cheng. Yabin Cheng 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
2.
Zarai, Yoram, Rupert Öllinger, Li Sun, et al.. (2023). eIF3 mRNA selectivity profiling reveals eIF3k as a cancer‐relevant regulator of ribosome content. The EMBO Journal. 42(12). e112362–e112362. 13 indexed citations
3.
Tian, Guiyou, et al.. (2023). NDC80 status pinpoints mitotic kinase inhibitors as emerging therapeutic options in clear cell renal cell carcinoma. iScience. 26(4). 106531–106531. 3 indexed citations
4.
Wang, Jing, et al.. (2021). CSN7B defines a variant COP9 signalosome complex with distinct function in DNA damage response. Cell Reports. 34(4). 108662–108662. 7 indexed citations
5.
Kluza, Jérôme, Ke Wei, Guiyou Tian, et al.. (2021). Metabolic targeting of cancer by a ubiquinone uncompetitive inhibitor of mitochondrial complex I. Cell chemical biology. 29(3). 436–450.e15. 27 indexed citations
6.
Wolf, Dieter A, et al.. (2020). eIF-Three to Tango: emerging functions of translation initiation factor eIF3 in protein synthesis and disease. Journal of Molecular Cell Biology. 12(6). 403–409. 41 indexed citations
7.
Lin, Yingying, Fajin Li, Christine Polte, et al.. (2020). eIF3 Associates with 80S Ribosomes to Promote Translation Elongation, Mitochondrial Homeostasis, and Muscle Health. Molecular Cell. 79(4). 575–587.e7. 67 indexed citations
8.
Chen, Xin, Xiaosong Liu, Bin Deng, et al.. (2018). Cytoplasmic Pin1 expression is increased in human cutaneous melanoma and predicts poor prognosis. Scientific Reports. 8(1). 16867–16867. 6 indexed citations
9.
Guo, Hongwei, Yabin Cheng, Jerry Shapiro, & Kevin J. McElwee. (2015). The role of lymphocytes in the development and treatment of alopecia areata. Expert Review of Clinical Immunology. 11(12). 1335–1351. 70 indexed citations
10.
Lü, Jing, Yabin Cheng, Guohong Zhang, et al.. (2015). Increased expression of neuropilin 1 in melanoma progression and its prognostic significance in patients with melanoma. Molecular Medicine Reports. 12(2). 2668–2676. 29 indexed citations
11.
Lü, Jing, Guohong Zhang, Yabin Cheng, et al.. (2014). Reduced expression of SRY-box containing gene 17 correlates with an unfavorable melanoma patient survival. Oncology Reports. 32(6). 2571–2579. 10 indexed citations
12.
Khosravi, Shahram, et al.. (2014). DLC1 expression is reduced in human cutaneous melanoma and correlates with patient survival. Modern Pathology. 27(9). 1203–1211. 11 indexed citations
13.
Mai, Ruiqin, Yabin Cheng, Yuanshen Huang, & Guohong Zhang. (2013). Esophageal Squamous Cell Carcinoma and Gastric Cardia Adenocarcinoma Shared Susceptibility Locus in PLCE1: A Meta-Analysis. PLoS ONE. 8(7). e69214–e69214. 6 indexed citations
14.
Cheng, Yabin, Guohong Zhang, & Gang Li. (2013). Targeting MAPK pathway in melanoma therapy. Cancer and Metastasis Reviews. 32(3-4). 567–584. 67 indexed citations
15.
Lü, Jing, Yun Tang, Maham Farshidpour, et al.. (2013). JWA inhibits melanoma angiogenesis by suppressing ILK signaling and is an independent prognostic biomarker for melanoma. Carcinogenesis. 34(12). 2778–2788. 23 indexed citations
16.
Chen, Guangdi, Yabin Cheng, Yun Tang, Magdalena Martinka, & Gang Li. (2012). Role of Tip60 in Human Melanoma Cell Migration, Metastasis, and Patient Survival. Journal of Investigative Dermatology. 132(11). 2632–2641. 52 indexed citations
17.
Chen, Guangdi, Yabin Cheng, Zhizhong Zhang, Magdalena Martinka, & Gang Li. (2011). Prognostic Significance of Cytoplasmic p27 Expression in Human Melanoma. Cancer Epidemiology Biomarkers & Prevention. 20(10). 2212–2221. 34 indexed citations
18.
Cheng, Yabin & Gang Li. (2011). Role of the ubiquitin ligase Fbw7 in cancer progression. Cancer and Metastasis Reviews. 31(1-2). 75–87. 91 indexed citations
19.
Zhang, Zhizhong, Guangdi Chen, Yabin Cheng, Magdalena Martinka, & Gang Li. (2010). Prognostic significance of RUNX3 expression in human melanoma. Cancer. 117(12). 2719–2727. 42 indexed citations
20.
Cheng, Yabin, et al.. (2010). Prognostic significance of BRMS1 expression in human melanoma and its role in tumor angiogenesis. Oncogene. 30(8). 896–906. 45 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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