Lin Ji

6.6k total citations · 1 hit paper
145 papers, 5.2k citations indexed

About

Lin Ji is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Lin Ji has authored 145 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Molecular Biology, 30 papers in Cancer Research and 24 papers in Oncology. Recurrent topics in Lin Ji's work include RNA modifications and cancer (24 papers), RNA Interference and Gene Delivery (19 papers) and Virus-based gene therapy research (17 papers). Lin Ji is often cited by papers focused on RNA modifications and cancer (24 papers), RNA Interference and Gene Delivery (19 papers) and Virus-based gene therapy research (17 papers). Lin Ji collaborates with scholars based in United States, China and Japan. Lin Ji's co-authors include Jack A. Roth, John D. Minna, Bingliang Fang, Kai Xu, Xiujun Cai, Xiao Liang, Junjie Xu, Zhe Wan, Ignacio I. Wistuba and E. Neely Atkinson and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Lin Ji

136 papers receiving 5.1k citations

Hit Papers

CircRNA-SORE mediates sor... 2020 2026 2022 2024 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. CircRNA-SORE mediates sorafenib resistance in hepatocellular carcinoma by stabilizing YBX1
    2020 332 citations Lin Ji et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lin Ji 3.6k 1.5k 996 673 598 145 5.2k
Toshiharu Yamashita 3.6k 1.0× 1.1k 0.7× 1.7k 1.7× 475 0.7× 293 0.5× 203 6.8k
Shengfang Ge 4.0k 1.1× 2.5k 1.6× 967 1.0× 419 0.6× 386 0.6× 202 6.5k
Anupama Munshi 3.0k 0.8× 960 0.6× 1.3k 1.3× 564 0.8× 503 0.8× 85 4.8k
Jun Hu 2.2k 0.6× 1.1k 0.7× 762 0.8× 501 0.7× 299 0.5× 207 4.5k
Byron Hann 3.9k 1.1× 778 0.5× 2.5k 2.5× 717 1.1× 646 1.1× 83 6.1k
Rajani Ravi 4.6k 1.3× 2.3k 1.5× 2.0k 2.1× 371 0.6× 529 0.9× 43 7.9k
Lei Yao 3.2k 0.9× 1.1k 0.7× 1.6k 1.6× 412 0.6× 780 1.3× 151 6.5k
Junnian Zheng 3.6k 1.0× 1.7k 1.1× 1.9k 1.9× 363 0.5× 629 1.1× 201 5.8k
Stephen P. Naber 2.4k 0.7× 836 0.5× 1.9k 1.9× 700 1.0× 429 0.7× 87 4.6k
John Hood 4.2k 1.2× 938 0.6× 1.1k 1.1× 252 0.4× 381 0.6× 56 7.2k

Countries citing papers authored by Lin Ji

Since Specialization
Citations

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

Fields of papers citing papers by Lin Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Ji. A scholar is included among the top collaborators of Lin Ji 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 Lin Ji. Lin Ji 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.
2.
Liu, Fengrui, et al.. (2025). Design of modular deployable structure with programmable multistability. International Journal of Mechanical Sciences. 288. 110037–110037. 3 indexed citations
3.
Li, Meizhi, Mengyi Wang, Lijuan Mao, et al.. (2025). Evaluating dynamic contrast-enhanced MRI for differentiating HER2-zero, HER2-low, and HER2-positive breast cancers in patients undergoing neoadjuvant chemotherapy. European journal of medical research. 30(1). 132–132.
4.
Li, Honggeng, Biao Zhang, Haitao Ye, et al.. (2024). Reconfigurable 4D printing via mechanically robust covalent adaptable network shape memory polymer. Science Advances. 10(20). eadl4387–eadl4387. 50 indexed citations
5.
Wang, Famin, et al.. (2021). Three-dimensional diffusion coefficient measurement by a large depth-of-field rotating point spread function. Applied Optics. 60(35). 10766–10766. 1 indexed citations
6.
D, Li, Hailin Tang, Jian Zhang, et al.. (2020). KRT17 Functions as a Tumor Promoter and Regulates Proliferation, Migration and Invasion in Pancreatic Cancer via mTOR/S6k1 Pathway. SHILAP Revista de lepidopterología. 3 indexed citations
7.
Ji, Lin, Bin Zhou, Ying Cai, et al.. (2019). Community-Based Pilot Study of a Screening Program for Gastric Cancer in a Chinese Population. Cancer Prevention Research. 13(1). 73–82. 17 indexed citations
8.
Ji, Lin, Jia Chen, Ying‐Ping Wang, et al.. (2019). Therapeutic potential of pravastatin for random skin flaps necrosis: involvement of promoting angiogenesis and inhibiting apoptosis and oxidative stress. SHILAP Revista de lepidopterología.
9.
Ji, Lin, et al.. (2019). Current status and thinking of screening of early gastric cancer. Zhonghua xiaohua neijing zazhi. 36(5). 305–309. 1 indexed citations
10.
Meraz, Ismail M., Mourad Majidi, Xiaobo Cao, et al.. (2018). TUSC2 Immunogene Therapy Synergizes with Anti–PD-1 through Enhanced Proliferation and Infiltration of Natural Killer Cells in Syngeneic Kras -Mutant Mouse Lung Cancer Models. Cancer Immunology Research. 6(2). 163–177. 42 indexed citations
11.
Zhao, Youqun, Yingzhi Jin, & Lin Ji. (2018). Vehicle Rollover Predicting Systems Based on Grey Prediction Theory. Zhongguo jixie gongcheng. 29(9). 1009. 1 indexed citations
12.
13.
Dai, Bingbing, Suk-Young Yoo, Geoffrey Bartholomeusz, et al.. (2013). KEAP1-Dependent Synthetic Lethality Induced by AKT and TXNRD1 Inhibitors in Lung Cancer. Cancer Research. 73(17). 5532–5543. 55 indexed citations
14.
Ji, Lin. (2013). An analysis of the source and the sedimentary system of the Carboniferous Benxi Formation in Yanchang area of Ordos Basin. Zhongguo dizhi. 4 indexed citations
15.
Dai, Bingbing, Jieru Meng, Michael Peyton, et al.. (2011). STAT3 Mediates Resistance to MEK Inhibitor through MicroRNA miR-17. Cancer Research. 71(10). 3658–3668. 80 indexed citations
16.
Prudkin, Ludmila, Carmen Behrens, Diane D. Liu, et al.. (2008). Loss and Reduction of Fus1 Protein Expression is a Frequent Phenomenon in the Pathogenesis of Lung Cancer. Clinical Cancer Research. 14(1). 41–47. 68 indexed citations
17.
Jayachandran, Gitanjali, Kai Xu, Luc Girard, et al.. (2007). Fragile Histidine Triad–Mediated Tumor Suppression of Lung Cancer by Targeting Multiple Components of the Ras/Rho GTPase Molecular Switch. Cancer Research. 67(21). 10379–10388. 23 indexed citations
18.
Lu, Charles, Lin Ji, Rajagopal Ramesh, et al.. (2007). Systemic therapy with tumor suppressor FUS1-nanoparticles for stage IV lung cancer. Cancer Research. 67. 7 indexed citations
19.
Ji, Lin. (2006). Genetic diversity analysis of primary parent and the first filial generation of pacific white shrimp, Litopenaeus vannamei. Haiyang kexue. 1 indexed citations
20.
Wu, Guanglin, Wuguo Deng, Vikas Kundra, et al.. (2005). A novel synthetic hTERT-Mini-CMV chimera promoter-driven tumor-selective and high-efficiency expression of transgene for systemic cancer gene therapy. Cancer Research. 65. 791–791. 1 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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