Jinlong Shi

2.2k total citations
77 papers, 1.5k citations indexed

About

Jinlong Shi is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jinlong Shi has authored 77 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 23 papers in Cancer Research and 16 papers in Oncology. Recurrent topics in Jinlong Shi's work include Glioma Diagnosis and Treatment (11 papers), MicroRNA in disease regulation (8 papers) and Cancer-related molecular mechanisms research (6 papers). Jinlong Shi is often cited by papers focused on Glioma Diagnosis and Treatment (11 papers), MicroRNA in disease regulation (8 papers) and Cancer-related molecular mechanisms research (6 papers). Jinlong Shi collaborates with scholars based in China, United States and Netherlands. Jinlong Shi's co-authors include Wei Shi, Daming Cui, Kunlun He, Zhilong Jia, Lanchun Ni, Hao Zuo, Jian Chen, Jian Chen, Baolan Sun and Dekang Nie and has published in prestigious journals such as ACS Nano, Bioinformatics and PLoS ONE.

In The Last Decade

Jinlong Shi

75 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinlong Shi China 22 835 429 246 194 152 77 1.5k
André Luiz Mencalha Brazil 22 859 1.0× 315 0.7× 198 0.8× 375 1.9× 121 0.8× 107 1.8k
Wenjie Chen China 21 482 0.6× 285 0.7× 161 0.7× 212 1.1× 130 0.9× 79 1.3k
Mikko O. Laukkanen Italy 26 1.0k 1.2× 286 0.7× 188 0.8× 304 1.6× 254 1.7× 55 2.1k
Wei Xiang China 23 820 1.0× 406 0.9× 266 1.1× 258 1.3× 128 0.8× 63 1.5k
Myung‐Jin Park South Korea 25 1.2k 1.4× 446 1.0× 147 0.6× 319 1.6× 169 1.1× 43 1.8k
Yan Xiong China 24 869 1.0× 272 0.6× 73 0.3× 291 1.5× 146 1.0× 122 1.8k
Simona Delle Monache Italy 28 682 0.8× 233 0.5× 229 0.9× 198 1.0× 100 0.7× 54 1.7k
Qing Liu China 25 1.2k 1.4× 723 1.7× 262 1.1× 284 1.5× 278 1.8× 110 1.9k
Mara Brancaccio Italy 28 1.7k 2.0× 210 0.5× 135 0.5× 265 1.4× 326 2.1× 71 2.7k

Countries citing papers authored by Jinlong Shi

Since Specialization
Citations

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

Fields of papers citing papers by Jinlong Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinlong Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Jinlong Shi. A scholar is included among the top collaborators of Jinlong Shi 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 Jinlong Shi. Jinlong Shi 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.
Li, Wen, Chunyan Zhang, Bohua Dong, et al.. (2025). Extended Lake Louise Score: a novel standard evaluation of cognitive impairment for immigrants' rapid ascent to high altitude. Travel Medicine and Infectious Disease. 67. 102907–102907.
2.
Shi, Jinlong, et al.. (2025). A robotic grasping method of box-shaped objects based on Dual-Stream You Only Look Once framework. Engineering Applications of Artificial Intelligence. 159. 111559–111559. 1 indexed citations
3.
Liu, Qianqian, et al.. (2024). Multifunctional Self-Assembled DNA Nanospheres for Glioma Fluorescence/Magnetic Resonance Imaging and Therapy. ACS Applied Nano Materials. 7(16). 19143–19152.
5.
Han, Yang, Xiaoshuang Liu, Qian Jia, et al.. (2024). Longitudinal multi-omics analysis uncovers the altered landscape of gut microbiota and plasma metabolome in response to high altitude. Microbiome. 12(1). 70–70. 21 indexed citations
6.
Huang, Xiang, et al.. (2023). CircIQGAP1 regulates RCAN1 and RCAN2 through the mechanism of ceRNA and promotes the growth of malignant glioma. Pharmacological Research. 197. 106979–106979. 5 indexed citations
7.
Zhang, Zhiyong, Cong Deng, Pei Zhu, et al.. (2023). Single‐cell RNA‐seq reveals a microenvironment and an exhaustion state of T/NK cells in acute myeloid leukemia. Cancer Science. 114(10). 3873–3883. 12 indexed citations
8.
Wang, Ziheng, et al.. (2022). SPTSSA Is a Prognostic Marker for Glioblastoma Associated with Tumor‐Infiltrating Immune Cells and Oxidative Stress. Oxidative Medicine and Cellular Longevity. 2022(1). 6711085–6711085. 4 indexed citations
9.
Shi, Jinlong, et al.. (2022). HAUS Augmin-Like Complex Subunit 1 Influences Tumour Microenvironment and Prognostic Outcomes in Glioma. Journal of Oncology. 2022. 1–19. 5 indexed citations
10.
Chen, Xiaofang, et al.. (2021). Knowledge-aware multi-center clinical dataset adaptation: Problem, method, and application. Journal of Biomedical Informatics. 115. 103710–103710. 6 indexed citations
11.
Sun, Junlong, Rui Jiang, Shiqiang Hou, et al.. (2020). Pathological Grade-Associated Transcriptome Profiling of lncRNAs and mRNAs in Gliomas. Frontiers in Oncology. 10. 253–253. 2 indexed citations
12.
Cheng, Zhiheng, Yifeng Dai, Yifan Pang, et al.. (2018). Clinical and Biological Implications of Mutational Spectrum in Acute Myeloid Leukemia of FAB Subtypes M0 and M1. Cellular Physiology and Biochemistry. 47(5). 1853–1861. 3 indexed citations
13.
Cui, Longzhen, Zhiheng Cheng, Yan Liu, et al.. (2018). Overexpression of PDK2 and PDK3 reflects poor prognosis in acute myeloid leukemia. Cancer Gene Therapy. 27(1-2). 15–21. 41 indexed citations
14.
Shi, Jinlong, et al.. (2016). Application and evaluation of Sandwich teaching method in clinical teaching in the department of neurosurgery. 15(10). 1039–1041. 2 indexed citations
15.
Su, Xing, Xiaojiang Liu, Lanchun Ni, et al.. (2016). GFAP expression is regulated by Pax3 in brain glioma stem cells. Oncology Reports. 36(3). 1277–1284. 12 indexed citations
16.
Mao, Hui, Jiao Liu, Wei Shi, et al.. (2013). The Expression Patterns of Septin-9 After Traumatic Brain Injury in Rat Brain. Journal of Molecular Neuroscience. 51(2). 558–566. 3 indexed citations
17.
Zhang, Shuangwei, et al.. (2012). FOXO3a/p27kip1 expression and essential role after acute spinal cord injury in adult rat. Journal of Cellular Biochemistry. 114(2). 354–365. 35 indexed citations
18.
Shi, Wei, et al.. (2011). Peroxisome proliferator-activated receptor γ agonist pioglitazone inhibits β-catenin-mediated glioma cell growth and invasion. Molecular and Cellular Biochemistry. 349(1-2). 1–10. 38 indexed citations
19.
Shi, Wei, et al.. (2011). Temporal base intradural transpetrosal approach to the petoclival region: an appraisal of anatomy, operative technique and clinical experience. British Journal of Neurosurgery. 25(6). 714–722. 8 indexed citations
20.
Cui, Daming, et al.. (2009). PAMAM-drug complex for delivering anticancer drug across blood-brain barrier in-vitro and in-vivo. African Journal of Pharmacy and Pharmacology. 3(5). 227–233. 13 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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