Junya Yan

870 total citations
29 papers, 428 citations indexed

About

Junya Yan is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Junya Yan has authored 29 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 19 papers in Oncology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Junya Yan's work include Melanoma and MAPK Pathways (11 papers), Cutaneous Melanoma Detection and Management (10 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Junya Yan is often cited by papers focused on Melanoma and MAPK Pathways (11 papers), Cutaneous Melanoma Detection and Management (10 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Junya Yan collaborates with scholars based in China, Ethiopia and Hong Kong. Junya Yan's co-authors include Xiaowen Wu, Jiayi Yu, Huan Yu, Jie Dai, Tianxiao Xu, Zhihong Chi, Chuanliang Cui, Lu Si, Jun Guo and Xinan Sheng and has published in prestigious journals such as Journal of Clinical Oncology, Frontiers in Immunology and European Journal of Cancer.

In The Last Decade

Junya Yan

26 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junya Yan China 11 241 234 97 94 48 29 428
Tianxiao Xu China 14 294 1.2× 255 1.1× 110 1.1× 107 1.1× 68 1.4× 29 506
Ashu Shah United States 10 225 0.9× 164 0.7× 78 0.8× 92 1.0× 54 1.1× 19 401
Longwen Xu China 10 185 0.8× 172 0.7× 94 1.0× 81 0.9× 61 1.3× 24 361
Kazuyo Yasuda Japan 15 351 1.5× 279 1.2× 128 1.3× 124 1.3× 49 1.0× 24 585
Maria A. Voronkova United States 9 280 1.2× 119 0.5× 114 1.2× 91 1.0× 56 1.2× 15 452
Hsin‐Yi Lan Taiwan 5 236 1.0× 219 0.9× 167 1.7× 90 1.0× 31 0.6× 6 463
Hanlin Mok United States 5 292 1.2× 187 0.8× 70 0.7× 90 1.0× 103 2.1× 7 462
Katheryn Begg United Kingdom 4 281 1.2× 163 0.7× 164 1.7× 60 0.6× 82 1.7× 7 505
Ryan Lupo United States 6 248 1.0× 166 0.7× 111 1.1× 110 1.2× 35 0.7× 7 399
Mariano F. Zacarías Fluck Spain 8 176 0.7× 236 1.0× 87 0.9× 186 2.0× 35 0.7× 15 463

Countries citing papers authored by Junya Yan

Since Specialization
Citations

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

Fields of papers citing papers by Junya Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junya Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Junya Yan. A scholar is included among the top collaborators of Junya Yan 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 Junya Yan. Junya Yan 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
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Fang, Wenzheng, Xianchun Gao, Xinlin Wang, et al.. (2024). Development and validation of serological dynamic risk score to predict outcome in gastric cancer with adjuvant chemotherapy: a multicentre, longitudinal, cohort study. Frontiers in Oncology. 14. 1327691–1327691. 3 indexed citations
5.
Yan, Junya, Xiaowen Wu, Yanyan Zhu, & Shundong Cang. (2023). Genome-wide DNA methylation profile analysis identifies an individualized predictive signature for melanoma immune response. Journal of Cancer Research and Clinical Oncology. 149(1). 343–356. 4 indexed citations
6.
Zhu, Yanyan, Bowang Chen, Junya Yan, et al.. (2022). BNIP3 Upregulation Characterizes Cancer Cell Subpopulation With Increased Fitness and Proliferation. Frontiers in Oncology. 12. 923890–923890. 9 indexed citations
7.
Yan, Junya, Xiaowen Wu, Jiayi Yu, Yan Kong, & Shundong Cang. (2022). An Immune-Related Gene Pair Index Predicts Clinical Response and Survival Outcome of Immune Checkpoint Inhibitors in Melanoma. Frontiers in Immunology. 13. 839901–839901. 3 indexed citations
8.
Zhu, Yanyan, Shundong Cang, Bowang Chen, et al.. (2020). Patient Stratification of Clear Cell Renal Cell Carcinoma Using the Global Transcription Factor Activity Landscape Derived From RNA-Seq Data. Frontiers in Oncology. 10. 526577–526577. 8 indexed citations
9.
Yan, Junya, Xiaowen Wu, Jiayi Yu, Yanyan Zhu, & Shundong Cang. (2020). Prognostic Role of Tumor Mutation Burden Combined With Immune Infiltrates in Skin Cutaneous Melanoma Based on Multi-Omics Analysis. Frontiers in Oncology. 10. 570654–570654. 17 indexed citations
10.
Yu, Jinyu, Longwen Xu, Junya Yan, et al.. (2020). MUC4 isoforms expression profiling and prognosis value in Chinese melanoma patients. Clinical and Experimental Medicine. 20(2). 299–311. 5 indexed citations
11.
Yu, Jiayi, Xiaowen Wu, Junya Yan, et al.. (2019). Potential Mutations in Uveal Melanoma Identified Using Targeted Next-Generation Sequencing. Journal of Cancer. 10(2). 488–493. 7 indexed citations
12.
Tang, Huan, Meng Ma, Jie Dai, et al.. (2019). miR-let-7b and miR-let-7c suppress tumourigenesis of human mucosal melanoma and enhance the sensitivity to chemotherapy. Journal of Experimental & Clinical Cancer Research. 38(1). 212–212. 43 indexed citations
13.
Xu, Tianxiao, Meng Ma, Jie Dai, et al.. (2018). Gene expression screening identifies CDCA5 as a potential therapeutic target in acral melanoma. Human Pathology. 75. 137–145. 8 indexed citations
14.
Yan, Junya, Xiaowen Wu, Jiayi Yu, et al.. (2018). Establishment and characterization of melanoma patient-derived xenograft models for preclinical evaluation of novel therapeutics. Melanoma Research. 28(6). 527–535. 3 indexed citations
15.
Yu, Jiayi, Xiaowen Wu, Junya Yan, et al.. (2018). Anti-GD2/4-1BB chimeric antigen receptor T cell therapy for the treatment of Chinese melanoma patients. Journal of Hematology & Oncology. 11(1). 1–1. 140 indexed citations
16.
Wu, Xiaowen, Junya Yan, Jie Dai, et al.. (2017). Mutations in BRAF codons 594 and 596 predict good prognosis in melanoma. Oncology Letters. 14(3). 3601–3605. 24 indexed citations
17.
Ma, Meng, Jie Dai, Tianxiao Xu, et al.. (2017). Analysis of TSC1 mutation spectrum in mucosal melanoma. Journal of Cancer Research and Clinical Oncology. 144(2). 257–267. 13 indexed citations
18.
Yan, Junya, Xiaowen Wu, Jiayi Yu, et al.. (2017). Analysis of NRAS gain in 657 patients with melanoma and evaluation of its sensitivity to a MEK inhibitor. European Journal of Cancer. 89. 90–101. 17 indexed citations
19.
Yu, Huan, Meng Ma, Junya Yan, et al.. (2017). Identification of coexistence of BRAF V600E mutation and EZH2 gain specifically in melanoma as a promising target for combination therapy. Journal of Translational Medicine. 15(1). 243–243. 19 indexed citations
20.
Yu, Jiayi, Xiaowen Wu, Huan Yu, et al.. (2017). Systemic Immune-Inflammation Index and Circulating T-Cell Immune Index Predict Outcomes in High-Risk Acral Melanoma Patients Treated with High-Dose Interferon. Translational Oncology. 10(5). 719–725. 29 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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