Jiaming Lai

2.7k total citations · 1 hit paper
57 papers, 1.1k citations indexed

About

Jiaming Lai is a scholar working on Surgery, Oncology and Cancer Research. According to data from OpenAlex, Jiaming Lai has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Surgery, 19 papers in Oncology and 15 papers in Cancer Research. Recurrent topics in Jiaming Lai's work include Cholangiocarcinoma and Gallbladder Cancer Studies (24 papers), Hepatocellular Carcinoma Treatment and Prognosis (12 papers) and Pancreatic and Hepatic Oncology Research (10 papers). Jiaming Lai is often cited by papers focused on Cholangiocarcinoma and Gallbladder Cancer Studies (24 papers), Hepatocellular Carcinoma Treatment and Prognosis (12 papers) and Pancreatic and Hepatic Oncology Research (10 papers). Jiaming Lai collaborates with scholars based in China, United States and Macao. Jiaming Lai's co-authors include Lijian Liang, Baogang Peng, Shaoqiang Li, Lixia Xu, Sui Peng, Ming Kuang, Ming Kuang, Qineng Ping, Dongming Li and Zhenghong Wu and has published in prestigious journals such as Molecular Cell, PLoS ONE and Hepatology.

In The Last Decade

Jiaming Lai

49 papers receiving 1.1k citations

Hit Papers

N7-Methylguanosine tRNA modification enhances oncogenic m... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiaming Lai China 17 484 326 286 259 249 57 1.1k
Jianting Long China 20 784 1.6× 290 0.9× 141 0.5× 512 2.0× 96 0.4× 51 1.2k
Sandro Nuciforo Switzerland 13 389 0.8× 366 1.1× 208 0.7× 236 0.9× 318 1.3× 17 1.0k
Yoshihiro Nakazato Japan 14 287 0.6× 643 2.0× 244 0.9× 191 0.7× 57 0.2× 30 1.2k
Bing Feng China 23 670 1.4× 136 0.4× 142 0.5× 523 2.0× 283 1.1× 35 1.3k
Gongbo Fu China 17 471 1.0× 215 0.7× 182 0.6× 297 1.1× 237 1.0× 32 927
Zhicheng Yao China 19 798 1.6× 111 0.3× 159 0.6× 625 2.4× 139 0.6× 63 1.2k
Constantin Volovăț Romania 14 272 0.6× 781 2.4× 273 1.0× 179 0.7× 58 0.2× 43 1.3k
Wensou Huang China 17 166 0.3× 165 0.5× 232 0.8× 141 0.5× 585 2.3× 44 981
Ashiq Masood United States 17 485 1.0× 574 1.8× 167 0.6× 308 1.2× 37 0.1× 54 1.2k
Ken Suzawa Japan 19 483 1.0× 504 1.5× 124 0.4× 282 1.1× 63 0.3× 80 1.1k

Countries citing papers authored by Jiaming Lai

Since Specialization
Citations

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

Fields of papers citing papers by Jiaming Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaming Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Jiaming Lai. A scholar is included among the top collaborators of Jiaming Lai 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 Jiaming Lai. Jiaming Lai 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
1.
Ye, Junzhao, Jiaming Lai, Xiaodong Zhuang, et al.. (2025). Machine Learning Models for Screening Steatosis in MASLD : An International Validation Study. Liver International. 45(12). e70416–e70416.
2.
Chen, Lixin, Xin Shen, Shaoqiong Yang, et al.. (2025). Exploring the Role of Cellular Interactions in the Colorectal Cancer Microenvironment. Journal of Immunology Research. 2025(1). 4109934–4109934. 1 indexed citations
3.
Feng, Wei, Li Huang, Qiong‐Cong Xu, et al.. (2024). Fatty acid metabolism affects hepatocellular carcinoma progression via the PPAR-γ signaling pathway and fatty acid β-oxidation. International Immunopharmacology. 141. 112917–112917. 3 indexed citations
4.
Ren, Xiaoxue, Yubin Xie, Yifan Wu, et al.. (2023). Personalized drug screening in patient-derived organoids of biliary tract cancer and its clinical application. Cell Reports Medicine. 4(11). 101277–101277. 29 indexed citations
6.
Liu, Hai‐Ning, Xuezhen Zeng, Xuxin Ren, et al.. (2022). Targeting tumour-intrinsic N 7 -methylguanosine tRNA modification inhibits MDSC recruitment and improves anti-PD-1 efficacy. Gut. 72(8). 1555–1567. 53 indexed citations
7.
Chen, Wei, Jiancong Chen, Dong Chen, et al.. (2022). Indocyanine Green-Guided Intraoperative Imaging to Facilitate Video-Assisted Retroperitoneal Debridement for Treating Acute Necrotizing Pancreatitis. Journal of Visualized Experiments. 2 indexed citations
8.
Xu, Qiong‐Cong, Zhide Liu, Guangyin Zhao, et al.. (2022). Imatinib facilitates gemcitabine sensitivity by targeting epigenetically activated PDGFC signaling in pancreatic cancer. Molecular Therapy. 31(2). 503–516. 19 indexed citations
9.
Cai, Jian‐Peng, et al.. (2021). Comparison between robotic-assisted and laparoscopic left hemi-hepatectomy. Asian Journal of Surgery. 45(1). 265–268. 11 indexed citations
10.
Wei, Mengchao, Shuling Chen, Jiali Li, et al.. (2020). Prognostic Role of Time to Surgery in Hepatocellular Carcinoma at Barcelona Clinic Liver Cancer Stage 0-A. Annals of Surgical Oncology. 27(10). 3740–3753. 5 indexed citations
11.
He, Xiaoning, Jing Wu, Anke‐Peggy Holtorf, et al.. (2018). Health economic assessment of Gd-EOB-DTPA MRI versus ECCM-MRI and multi-detector CT for diagnosis of hepatocellular carcinoma in China. PLoS ONE. 13(1). e0191095–e0191095. 11 indexed citations
12.
Wang, Weidong, et al.. (2018). The optimal choice for pancreatic anastomosis after pancreaticoduodenectomy: A network meta-analysis of randomized control trials. International Journal of Surgery. 57. 111–116. 36 indexed citations
13.
Chen, Wei, Weikai Xiao, Kunsong Zhang, et al.. (2016). Activation of c-Jun predicts a poor response to sorafenib in hepatocellular carcinoma: Preliminary Clinical Evidence. Scientific Reports. 6(1). 22976–22976. 33 indexed citations
14.
Yin, Xiaoyu, Xin Liu, Wei Chen, et al.. (2016). Long-term outcomes and prognostic factors of surgical resection of hilar cholangiocarcinoma. Zhōnghuá xiāohuà wàikē zázhì/Zhonghua xiaohua waike zazhi. 15(4). 329–333. 1 indexed citations
15.
Chen, Dong, Weikai Xiao, Liang Deng, Jiaming Lai, & Baogang Peng. (2014). Analysis of risk factors for reoperation after pancretoduodenectomy. 3(1). 29–32. 1 indexed citations
16.
Huang, Li, Wei Chen, Peiwen Liang, et al.. (2014). Serum CYFRA 21-1 in Biliary Tract Cancers: A Reliable Biomarker for Gallbladder Carcinoma and Intrahepatic Cholangiocarcinoma. Digestive Diseases and Sciences. 60(5). 1273–1283. 45 indexed citations
17.
Chen, Dong, Wei Chen, Xiaoyu Yin, et al.. (2012). Analysis of complications after pancreaticoduodenectomy. Zhōnghuá xiāohuà wàikē zázhì/Zhonghua xiaohua waike zazhi. 11(4). 331–334.
18.
Hill, Anita, Eric Van Den Neste, Petra Muus, et al.. (2008). Improvement in Fatigue With Eculizumab Treatment of Patients With Paroxysmal Nocturnal Hemoglobinuria (pnh) Occurs Independent of Changes in Anemia. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 93. 359–359. 3 indexed citations
20.
Wu, Zhenghong, et al.. (2003). [Hypoglycemic effect of polysaccharide-coated insulin liposomes after oral administration in mice].. PubMed. 38(2). 138–42. 9 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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