Tianbo Jin

723 total citations
48 papers, 522 citations indexed

About

Tianbo Jin is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Tianbo Jin has authored 48 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 14 papers in Cancer Research and 11 papers in Genetics. Recurrent topics in Tianbo Jin's work include RNA modifications and cancer (12 papers), Cancer-related molecular mechanisms research (9 papers) and Epigenetics and DNA Methylation (7 papers). Tianbo Jin is often cited by papers focused on RNA modifications and cancer (12 papers), Cancer-related molecular mechanisms research (9 papers) and Epigenetics and DNA Methylation (7 papers). Tianbo Jin collaborates with scholars based in China, United States and United Arab Emirates. Tianbo Jin's co-authors include Longli Kang, Tingting Geng, Mengdan Yan, Fanglin Niu, Longli Kang, Cong Dai, Xiaojie Xun, Dongya Yuan, Kang Liu and Zhijun Dai and has published in prestigious journals such as Gene, Medicine and American Journal of Tropical Medicine and Hygiene.

In The Last Decade

Tianbo Jin

48 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tianbo Jin China 15 301 137 93 77 76 48 522
Martin Bizet Belgium 11 476 1.6× 188 1.4× 84 0.9× 82 1.1× 111 1.5× 16 664
Celina Montemayor United States 13 236 0.8× 157 1.1× 57 0.6× 134 1.7× 36 0.5× 27 558
Mariko Takenokuchi Japan 12 317 1.1× 198 1.4× 44 0.5× 52 0.7× 102 1.3× 30 609
Javier Cotignola Argentina 15 331 1.1× 137 1.0× 58 0.6× 128 1.7× 83 1.1× 32 568
Chiara Verdelli Italy 15 284 0.9× 108 0.8× 197 2.1× 148 1.9× 34 0.4× 38 563
Hongjun Zhao China 14 314 1.0× 151 1.1× 50 0.5× 81 1.1× 152 2.0× 47 615
Eun‐Heui Jin South Korea 11 196 0.7× 117 0.9× 36 0.4× 67 0.9× 56 0.7× 25 394
Diping Wang United States 8 445 1.5× 86 0.6× 39 0.4× 105 1.4× 49 0.6× 13 619
Eleonora Adami Singapore 12 402 1.3× 65 0.5× 69 0.7× 98 1.3× 117 1.5× 17 739
Xiaoling Weng China 16 382 1.3× 187 1.4× 40 0.4× 160 2.1× 71 0.9× 31 696

Countries citing papers authored by Tianbo Jin

Since Specialization
Citations

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

Fields of papers citing papers by Tianbo Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianbo Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Tianbo Jin. A scholar is included among the top collaborators of Tianbo Jin 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 Tianbo Jin. Tianbo Jin 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.
Hu, Mingjun, et al.. (2023). Impact of TREM1 Variants on the Risk and Prognosis of Glioma in the Chinese Han Population. Pharmacogenomics and Personalized Medicine. Volume 16. 707–715. 1 indexed citations
2.
Wu, Shouzhen, et al.. (2023). Genetic polymorphisms of MRPS30-DT and NINJ2 may influence lung cancer risk. Open Medicine. 18(1). 20230655–20230655. 1 indexed citations
3.
Yang, Yonghui, Yimin Cheng, Liting Yang, et al.. (2021). The Influence of NDRG1 Single Nucleotide Polymorphisms on Glioma Risk and Prognosis in Chinese Han Population. Cellular and Molecular Neurobiology. 42(6). 1949–1964. 1 indexed citations
4.
Zhao, Wenhui, Fanglin Niu, Mengdan Yan, et al.. (2019). Assessment of the association between ACYP2 and laryngeal squamous cell carcinoma risk in Chinese males. Molecular Genetics & Genomic Medicine. 7(7). e00731–e00731. 2 indexed citations
5.
Sun, Rong, Shan Wu, Tianbo Jin, et al.. (2019). Single nucleotide polymorphism in the 3′ untranslated region of LPP is a risk factor for lung cancer: a case-control study. BMC Cancer. 19(1). 35–35. 9 indexed citations
6.
Wang, Tianchang, Yan Feng, Zheng Zhao, et al.. (2019). <b><i>IL1RN</i></b> Polymorphisms Are Associated with a Decreased Risk of Esophageal Cancer Susceptibility in a Chinese Population. Chemotherapy. 64(1). 28–35. 11 indexed citations
7.
Jin, Tianbo, et al.. (2019). IL‐4 gene polymorphisms and their relation to steroid‐induced osteonecrosis of the femoral head in Chinese population. Molecular Genetics & Genomic Medicine. 7(3). e563–e563. 13 indexed citations
8.
Duan, Ying, et al.. (2019). COL6A3 polymorphisms were associated with lung cancer risk in a Chinese population. Respiratory Research. 20(1). 143–143. 13 indexed citations
9.
Niu, Fanglin, et al.. (2017). Polymorphisms of telomere-length related genes in three China ethnic groups.. PubMed. 10(9). 9654–9665. 1 indexed citations
10.
Pakstis, A.J., Longli Kang, Lijun Liu, et al.. (2017). Increasing the reference populations for the 55 AISNP panel: the need and benefits. International Journal of Legal Medicine. 131(4). 913–917. 34 indexed citations
11.
Ji, Yuqiang, Yanbin Song, Qingwen Wang, et al.. (2017). Sex-specific association of SH2B3 and SMARCA4 polymorphisms with coronary artery disease susceptibility. Oncotarget. 8(35). 59397–59407. 4 indexed citations
12.
Dai, Zhijun, Xinghan Liu, Yunfeng Ma, et al.. (2016). Association Between Single Nucleotide Polymorphisms in DNA Polymerase Kappa Gene and Breast Cancer Risk in Chinese Han Population. Medicine. 95(2). e2466–e2466. 44 indexed citations
13.
He, Yongjun, Xiyang Zhang, Xun Li, et al.. (2016). Telomere length‐related gene ACYP2 polymorphism is associated with the risk of HAPE in Chinese Han population. The Journal of Gene Medicine. 18(9). 244–249. 17 indexed citations
14.
Su, Qinghua, et al.. (2015). Polymorphisms of PRLHR and HSPA12A and risk of gastric and colorectal cancer in the Chinese Han population. BMC Gastroenterology. 15(1). 107–107. 15 indexed citations
15.
Zhou, Wenjing, Tingting Geng, Huijuan Wang, et al.. (2015). CHRNA3 genetic polymorphism and the risk of lung cancer in the Chinese Han smoking population. Tumor Biology. 36(7). 4987–4992. 10 indexed citations
16.
Geng, Tingting, et al.. (2015). The RTEL1 rs6010620 Polymorphism and Glioma Risk: a Meta-analysis Based on 12 Case-control Studies. Asian Pacific Journal of Cancer Prevention. 15(23). 10175–10179. 7 indexed citations
17.
He, Gong‐Hao, Jun Lü, Panpan Shi, et al.. (2013). Polymorphisms of human histamine receptor H4 gene are associated with breast cancer in Chinese Han population. Gene. 519(2). 260–265. 22 indexed citations
18.
Hu, Qunying, Tianbo Jin, Li Wang, et al.. (2013). Genetic variation in the TP63 gene is associated with lung cancer risk in the Han population. Tumor Biology. 35(3). 1863–1866. 25 indexed citations
19.
Jin, Tianbo, Jia‐Yi Zhang, Gang Li, et al.. (2013). RTEL1 and TERT polymorphisms are associated with astrocytoma risk in the Chinese Han population. Tumor Biology. 34(6). 3659–3666. 23 indexed citations
20.
Zhu, Bin, Hao Wang, Chunmei Shen, et al.. (2011). Diversity of Killer Cell Immunoglobulin‐like Receptor Genes in the Bai Ethnic Minority of Yunnan, China. Scandinavian Journal of Immunology. 73(4). 284–292. 8 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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