Gang Tian

6.2k total citations · 1 hit paper
111 papers, 3.1k citations indexed

About

Gang Tian is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Gang Tian has authored 111 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 18 papers in Oncology and 17 papers in Cancer Research. Recurrent topics in Gang Tian's work include Cancer-related molecular mechanisms research (10 papers), Advanced biosensing and bioanalysis techniques (8 papers) and Blood Pressure and Hypertension Studies (8 papers). Gang Tian is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), Advanced biosensing and bioanalysis techniques (8 papers) and Blood Pressure and Hypertension Studies (8 papers). Gang Tian collaborates with scholars based in China, United States and Germany. Gang Tian's co-authors include Hao Chi, Jun Cai, Shouling Wu, Weili Zhang, Kelda Auguste, Baoli Zhu, Xinchun Yang, Jie Tao, Wenbin Liu and Lei Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and PLoS ONE.

In The Last Decade

Gang Tian

100 papers receiving 3.1k citations

Hit Papers

Gut microbiota dysbiosis contributes to the development o... 2017 2026 2020 2023 2017 400 800 1.2k
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. Gut microbiota dysbiosis contributes to the development of hypertension
    2017 1.2k citations Gang Tian et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gang Tian China 27 1.6k 768 419 416 357 111 3.1k
Miguel Á. Ortega Spain 30 1.0k 0.7× 383 0.5× 240 0.6× 352 0.8× 377 1.1× 242 3.6k
Joseph Katz United States 37 1.0k 0.6× 552 0.7× 266 0.6× 516 1.2× 524 1.5× 189 4.5k
Wojciech Feleszko Poland 29 877 0.6× 804 1.0× 737 1.8× 265 0.6× 131 0.4× 119 3.4k
Inga Peter United States 42 2.2k 1.4× 620 0.8× 431 1.0× 255 0.6× 466 1.3× 143 5.9k
Xiaoyan Han China 35 1.4k 0.9× 314 0.4× 267 0.6× 564 1.4× 228 0.6× 213 4.7k
Eliete Neves Silva Guerra Brazil 37 888 0.6× 467 0.6× 426 1.0× 540 1.3× 332 0.9× 159 4.1k
Neil G. Docherty Ireland 33 1.7k 1.1× 1.1k 1.4× 356 0.8× 224 0.5× 320 0.9× 127 4.5k
Mingming Liu China 29 1.2k 0.8× 236 0.3× 308 0.7× 308 0.7× 168 0.5× 220 3.3k

Countries citing papers authored by Gang Tian

Since Specialization
Citations

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

Fields of papers citing papers by Gang Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Tian. A scholar is included among the top collaborators of Gang Tian 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 Gang Tian. Gang Tian 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.
Gao, Lan, Qindong Shi, Bin Sun, et al.. (2025). c-FLIP Protects Cardiac Microcirculation in Sepsis-Induced Myocardial Dysfunction Via FUNDC1-Mediated Regulation of Mitochondrial Autophagy. JACC Basic to Translational Science. 10(8). 101257–101257.
2.
Tao, Xingyu, et al.. (2025). Machine Learning-Enhanced Analysis of miRNA Biomarkers for Accurate Breast Cancer Diagnosis Using DNA Seagrass. Analytical Chemistry. 97(41). 22582–22594.
3.
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Yang, Guanhu, et al.. (2024). Neuroinflammation in Alzheimer’s disease: insights from peripheral immune cells. Immunity & Ageing. 21(1). 38–38. 40 indexed citations
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Chen, Haiqing, Jinhao Zhang, Xixi Xie, et al.. (2023). Elucidating the Influence of MPT-driven necrosis-linked LncRNAs on immunotherapy outcomes, sensitivity to chemotherapy, and mechanisms of cell death in clear cell renal carcinoma. Frontiers in Oncology. 13. 1276715–1276715. 13 indexed citations
8.
Yang, Wenyan, et al.. (2023). Secular trends in the global burden of gout: an age-period-cohort and joinpoint analysis. Journal of Public Health. 33(5). 981–990. 1 indexed citations
9.
Wang, Xiaoyang, et al.. (2023). Effects of Breathing Patterns on Amide Proton Transfer MRI in the Kidney: A Preliminary Comparative Study in Healthy Volunteers and Patients With Tumors. Journal of Magnetic Resonance Imaging. 60(1). 222–230. 1 indexed citations
10.
Zhang, Jinhao, Gaoge Peng, Hao Chi, et al.. (2023). CD8 + T-cell marker genes reveal different immune subtypes of oral lichen planus by integrating single-cell RNA-seq and bulk RNA-sequencing. BMC Oral Health. 23(1). 47 indexed citations
11.
Tian, Gang, et al.. (2023). Association of cooking fuel use with risk of cancer and all-cause mortality among Chinese elderly people: a prospective cohort study. Environmental Science and Pollution Research. 30(32). 78653–78664. 2 indexed citations
12.
Tian, Gang, Yu Wu, Zhangrui Zeng, et al.. (2022). The incidence rate and influence factors of hemolysis, lipemia, icterus in fasting serum biochemistry specimens. PLoS ONE. 17(1). e0262748–e0262748. 11 indexed citations
13.
Tian, Gang, et al.. (2022). Association between disability, social support and depressive symptoms in Chinese older adults: A national study. Frontiers in Public Health. 10. 980465–980465. 29 indexed citations
14.
Cheng, Gang, Xihong Wu, Rui Li, et al.. (2021). The Associations between Sleep Duration, Academic Pressure, and Depressive Symptoms among Chinese Adolescents: Results from China Family Panel Studies. International Journal of Environmental Research and Public Health. 18(11). 6134–6134. 30 indexed citations
15.
Li, Quanman, Ranran Qie, Pei Qin, et al.. (2020). Association of weight-adjusted-waist index with incident hypertension: The Rural Chinese Cohort Study. Nutrition Metabolism and Cardiovascular Diseases. 30(10). 1732–1741. 85 indexed citations
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Tian, Gang, et al.. (2016). A novel detection of radon based on its decay product inducing conformational changes of an aptamer probe. Analytica Chimica Acta. 936. 202–207. 11 indexed citations
18.
Tian, Gang, et al.. (2016). Quantification of ethanol in plasma by electrochemical detection with an unmodified screen printed carbon electrode. Scientific Reports. 6(1). 23569–23569. 7 indexed citations
19.
Zhao, Song, Feng Niu, Long Ye, et al.. (2015). Microarray and ChIP-seq data analysis revealed changes in p53-mediated transcriptional regulation in Nutlin-3-treated U2OS cells. Molecular Medicine Reports. 12(3). 4284–4290. 2 indexed citations
20.
Dong, Zibo, Yonghong Zhang, Chao Li, et al.. (2015). Screening for anti-inflammatory components from Corydalis bungeana Turcz. based on macrophage binding combined with HPLC. BMC Complementary and Alternative Medicine. 15(1). 363–363. 33 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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Breakdown of academic impact, for papers by Miguel Á. Ortega Breakdown of academic impact, for papers by Joseph Katz Breakdown of academic impact, for papers by Wojciech Feleszko Breakdown of academic impact, for papers by Inga Peter Breakdown of academic impact, for papers by Xiaoyan Han Breakdown of academic impact, for papers by Eliete Neves Silva Guerra Breakdown of academic impact, for papers by Neil G. Docherty Breakdown of academic impact, for papers by Mingming Liu
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