Jin Shi

1.2k total citations
33 papers, 638 citations indexed

About

Jin Shi is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Jin Shi has authored 33 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 9 papers in Pulmonary and Respiratory Medicine and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Jin Shi's work include Lung Cancer Research Studies (5 papers), Pleural and Pulmonary Diseases (4 papers) and Occupational and environmental lung diseases (3 papers). Jin Shi is often cited by papers focused on Lung Cancer Research Studies (5 papers), Pleural and Pulmonary Diseases (4 papers) and Occupational and environmental lung diseases (3 papers). Jin Shi collaborates with scholars based in China, United States and Malaysia. Jin Shi's co-authors include Xinmei Kang, Shoubo Cao, Shanqi Xu, Q. Zhang, Xiao‐Jun Huang, Qingwei Meng, Dongning He, Chunyan Wang, Shu Zhao and Yongli Lou and has published in prestigious journals such as Scientific Reports, Annals of Oncology and Frontiers in Immunology.

In The Last Decade

Jin Shi

27 papers receiving 622 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jin Shi China	14	207	202	160	108	73	33	638
Rupinder Kaur Gill India	14	155 0.7×	306 1.5×	168 1.1×	80 0.7×	52 0.7×	34	1.0k
Wafaey Gomaa Saudi Arabia	14	179 0.9×	192 1.0×	144 0.9×	71 0.7×	26 0.4×	47	618
Xufeng Guo China	16	135 0.7×	276 1.4×	123 0.8×	98 0.9×	44 0.6×	37	733
Valentina Aristarco Italy	12	240 1.2×	308 1.5×	106 0.7×	78 0.7×	100 1.4×	31	588
Quan Jiang China	15	169 0.8×	213 1.1×	67 0.4×	115 1.1×	53 0.7×	30	534
Monika Ruszkowska Poland	8	229 1.1×	223 1.1×	77 0.5×	68 0.6×	35 0.5×	14	634
Sherri Patterson United States	9	233 1.1×	148 0.7×	186 1.2×	72 0.7×	61 0.8×	12	504
Yuankai Shi China	12	177 0.9×	283 1.4×	154 1.0×	79 0.7×	20 0.3×	32	705
Hsi‐Hsien Hsu Taiwan	12	177 0.9×	309 1.5×	79 0.5×	53 0.5×	34 0.5×	31	646

Countries citing papers authored by Jin Shi

Since Specialization

Citations

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

Fields of papers citing papers by Jin Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Shi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jiao, Lirui, et al.. (2025). Can biodiversity risk improve firm ESG performance? Empirical evidence from China. Finance research letters. 76. 106931–106931. 10 indexed citations

Wang, Kui, et al.. (2025). Facile synthesis of tunable flower-like NiFe2O4/C composites for boosting electromagnetic wave absorption. Journal of Alloys and Compounds. 1044. 184319–184319.

Shi, Jin, et al.. (2024). Prognosis and Factors 4 to 10 Years After Deep Vein Thrombosis: A Long-Term Follow-up Cohort Study. Clinical and Applied Thrombosis/Hemostasis. 30. 3005448324–3005448324. 1 indexed citations

Liang, Di, et al.. (2023). Evaluation of a population-based breast cancer screening in North China. Journal of Cancer Research and Clinical Oncology. 149(12). 10119–10130. 3 indexed citations

Zhu, Lifei, Qi Zeng, Jinxiang Wang, Fan Deng, & Jin Shi. (2023). Cathepsin V drives lung cancer progression by shaping the immunosuppressive environment and adhesion molecules cleavage. Aging. 15(23). 13961–13979. 14 indexed citations

Li, Daojuan, Jin Shi, Di Liang, Meng Ren, & Yutong He. (2023). Lung cancer risk and exposure to air pollution: a multicenter North China case–control study involving 14604 subjects. BMC Pulmonary Medicine. 23(1). 182–182. 6 indexed citations

Shi, Jin, et al.. (2022). RBM10 Is a Biomarker Associated with Pan‐Cancer Prognosis and Immune Infiltration: System Analysis Combined with In Vitro and Vivo Experiments. Oxidative Medicine and Cellular Longevity. 2022(1). 7654937–7654937. 1 indexed citations

Liang, Di, et al.. (2022). Participation and Yield of a Lung Cancer Screening Program in Hebei, China. Frontiers in Oncology. 11. 795528–795528. 12 indexed citations

Zhao, Cong, Guangyun Zhang, Yan-Wei Yin, et al.. (2021). Retrospective analysis of risk factors for carotid atherosclerosis in aircrew. Jiefangjun yixue zazhi. 46(5). 481–485.

10.

Geng, Jianxiong, Xin Wang, Qingwei Meng, et al.. (2021). RNA-binding motif protein 10 represses tumor progression through the Wnt/β- catenin pathway in lung adenocarcinoma. International Journal of Biological Sciences. 18(1). 124–139. 17 indexed citations

11.

Duan, Yangyang, et al.. (2021). The Effect of SIRT2 on Apoptosis and Mitochondrial Function in Parkinson’s Disease Model Cells Induced by MPP +. Zhongguo shengwu gongcheng zazhi. 41(4). 1–8. 1 indexed citations

12.

Wang, Chunyan, Jin Shi, Shanqi Xu, & Shoubo Cao. (2020). High Systemic Immune-Inflammation Index (SII) Represents an Unfavorable Prognostic Factor for Small Cell Lung Cancer Treated with Etoposide and Platinum-Based Chemotherapy. Lung. 198(2). 405–414. 34 indexed citations

13.

Wang, Chunyan, Jin Shi, Shanqi Xu, & Shoubo Cao. (2020). The combination of pretreatment prognostic nutritional index and neuron‐specific enolase enhances prognosis predicting value of small cell lung cancer. The Clinical Respiratory Journal. 15(3). 264–271. 6 indexed citations

14.

Liu, Cheng, Yan Yu, Jianxiong Geng, et al.. (2019). TBL1XR1 is involved in c-Met-mediated tumorigenesis of human nonsmall cell lung cancer. Cancer Gene Therapy. 27(3-4). 136–146. 20 indexed citations

15.

Lou, Yongli, et al.. (2015). Function of PD-L1 in antitumor immunity of glioma cells. Saudi Journal of Biological Sciences. 24(4). 803–807. 45 indexed citations

16.

Shi, Jin, Shoubo Cao, Jingyan Cao, et al.. (2014). Predictive Factors Analysis for Malignant Peritoneal Mesothelioma. Journal of Gastrointestinal Surgery. 19(2). 319–326. 7 indexed citations

17.

Cao, Shoubo, Jin Shi, Jingyan Cao, et al.. (2014). Advances in malignant peritoneal mesothelioma. International Journal of Colorectal Disease. 30(1). 1–10. 41 indexed citations

18.

Kang, Xinmei, et al.. (2010). Effect of soy isoflavones on breast cancer recurrence and death for patients receiving adjuvant endocrine therapy. Canadian Medical Association Journal. 182(17). 1857–1862. 93 indexed citations

19.

Shi, Jin, et al.. (2009). Daidzein induces MCF-7 breast cancer cell apoptosis via the mitochondrial pathway. Annals of Oncology. 21(2). 263–268. 156 indexed citations

20.

Wang, Jingxuan, Qingyuan Zhang, Jin Shi, et al.. (2008). Genistein modulate immune responses in collagen-induced rheumatoid arthritis model. Maturitas. 59(4). 405–412. 53 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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