Yakai Huang

726 total citations
19 papers, 480 citations indexed

About

Yakai Huang is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Yakai Huang has authored 19 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 6 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Yakai Huang's work include Gastric Cancer Management and Outcomes (6 papers), Gastrointestinal Tumor Research and Treatment (5 papers) and Metastasis and carcinoma case studies (4 papers). Yakai Huang is often cited by papers focused on Gastric Cancer Management and Outcomes (6 papers), Gastrointestinal Tumor Research and Treatment (5 papers) and Metastasis and carcinoma case studies (4 papers). Yakai Huang collaborates with scholars based in China and Iran. Yakai Huang's co-authors include Zhiqiang Ma, Jianchun Yu, Weiming Kang, Shu-bo Tian, Chao Yan, Yantian Fang, Chenchen Wang, Jieyun Zhang, Yuqin Liu and Li Zhou and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Free Radical Biology and Medicine.

In The Last Decade

Yakai Huang

18 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yakai Huang China 9 250 201 169 152 73 19 480
Caixia Wang China 14 281 1.1× 168 0.8× 103 0.6× 78 0.5× 64 0.9× 30 491
Jin-ping Ma China 13 323 1.3× 164 0.8× 98 0.6× 98 0.6× 125 1.7× 41 514
Canrong Lu China 13 207 0.8× 138 0.7× 86 0.5× 50 0.3× 114 1.6× 22 368
Chung‐Chieh Wang Taiwan 13 215 0.9× 85 0.4× 102 0.6× 85 0.6× 127 1.7× 24 423
Daisuke Iitaka Japan 12 385 1.5× 275 1.4× 90 0.5× 100 0.7× 70 1.0× 23 548
Lei Cheng China 13 173 0.7× 121 0.6× 89 0.5× 102 0.7× 216 3.0× 39 526
Hee Eun Lee South Korea 8 133 0.5× 58 0.3× 169 1.0× 201 1.3× 122 1.7× 10 428
Pailan Peng China 10 193 0.8× 147 0.7× 97 0.6× 50 0.3× 69 0.9× 17 334
Yongji Zeng United States 11 155 0.6× 70 0.3× 120 0.7× 83 0.5× 122 1.7× 21 364
Shigeto Nishikawa Japan 10 171 0.7× 96 0.5× 78 0.5× 53 0.3× 112 1.5× 31 353

Countries citing papers authored by Yakai Huang

Since Specialization
Citations

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

Fields of papers citing papers by Yakai Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yakai Huang

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

All Works

19 of 19 papers shown
1.
Chen, Jie, Jun Lü, Yakai Huang, et al.. (2025). Optimizing surgical timing following neoadjuvant therapy for gastric Cancer: Insights from a multicenter retrospective analysis. European Journal of Surgical Oncology. 51(8). 110063–110063. 1 indexed citations
2.
Zhao, Zhenxiong, et al.. (2024). C3+ cancer-associated fibroblasts promote tumor growth and therapeutic resistance in gastric cancer via activation of the NF-κB signaling pathway. Journal of Translational Medicine. 22(1). 1130–1130. 4 indexed citations
3.
4.
Gao, Jianpeng, et al.. (2024). Significance of dysregulated M2 macrophage and ESR2 in the ovarian metastasis of gastric cancer. Translational Cancer Research. 13(6). 2674–2690. 2 indexed citations
5.
6.
Ma, Mingzhe, Pengfei Kong, Yakai Huang, et al.. (2022). Activation of MAT2A-ACSL3 pathway protects cells from ferroptosis in gastric cancer. Free Radical Biology and Medicine. 181. 288–299. 50 indexed citations
7.
Zhao, Zhenxiong, et al.. (2022). Tumor-infiltrating CD226+CD8+ T cells are associated with postoperative prognosis and adjuvant chemotherapeutic benefits in gastric cancer patients. Journal of Cancer Research and Clinical Oncology. 149(8). 4381–4389. 4 indexed citations
8.
Bai, Qianming, et al.. (2022). Partial omentectomy maybe practicable for T3 or shallower gastric cancer patients. Cancer Medicine. 12(2). 1204–1216. 1 indexed citations
9.
Zhang, Yu, Fei Wang, Haoran Sun, et al.. (2021). Apatinib combined with PD-L1 blockade synergistically enhances antitumor immune responses and promotes HEV formation in gastric cancer. Journal of Cancer Research and Clinical Oncology. 147(8). 2209–2222. 19 indexed citations
10.
Fang, Yantian, Bo Sun, Jianpeng Gao, Yakai Huang, & Chenchen Wang. (2021). LncRNA SLCO4A1-AS1 Accelerates Growth and Metastasis of Gastric Cancer via Regulation of the miR-149/XIAP Axis. Frontiers in Oncology. 11. 683256–683256. 8 indexed citations
11.
Zang, Mingde, Junyi Hou, Yakai Huang, et al.. (2021). Crocetin suppresses angiogenesis and metastasis through inhibiting sonic hedgehog signaling pathway in gastric cancer. Biochemical and Biophysical Research Communications. 576. 86–92. 21 indexed citations
12.
Wang, Chenchen, Yakai Huang, Jieyun Zhang, & Yantian Fang. (2020). MiRNA-339-5p suppresses the malignant development of gastric cancer via targeting ALKBH1. Experimental and Molecular Pathology. 115. 104449–104449. 37 indexed citations
13.
Huang, Yakai, Weiming Kang, Zhiqiang Ma, et al.. (2018). NUCKS1 promotes gastric cancer cell aggressiveness by upregulating IGF-1R and subsequently activating the PI3K/Akt/mTOR signaling pathway. Carcinogenesis. 40(2). 370–379. 45 indexed citations
14.
Huang, Yakai, Weiming Kang, Zhiqiang Ma, et al.. (2016). Body mass index, serum total cholesterol, and risk of gastric high-grade dysplasia. Medicine. 95(35). e4730–e4730. 7 indexed citations
15.
Tian, Shu-bo, Jianchun Yu, Weiming Kang, et al.. (2015). Effect of Neoadjuvant Chemotherapy Treatment on Prognosis of Patients with Advanced Gastric Cancer: a Retrospective Study. Chinese Medical Sciences Journal. 30(2). 84–89. 5 indexed citations
16.
Huang, Yakai, Jianchun Yu, Weiming Kang, et al.. (2015). Significance of Serum Pepsinogens as a Biomarker for Gastric Cancer and Atrophic Gastritis Screening: A Systematic Review and Meta-Analysis. PLoS ONE. 10(11). e0142080–e0142080. 149 indexed citations
17.
Huang, Yakai. (2015). Circulating microRNAs and long non-coding RNAs in gastric cancer diagnosis: An update and review. World Journal of Gastroenterology. 21(34). 9863–9863. 97 indexed citations
18.
Huang, Yakai, Liu Hong, Xinzheng Wang, & Shan Zhu. (2014). Annexin A2 and CD105 Expression in Pancreatic Ductal Adenocarcinoma is Associated with Tumor Recurrence and Prognosis. Asian Pacific Journal of Cancer Prevention. 15(22). 9921–9926. 13 indexed citations
19.
Huang, Yakai, et al.. (1997). [Clinical study on modified sijunzi decoction in treating intestinal metaplasia of gastric mucosa].. PubMed. 17(8). 462–4. 11 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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