Tian Hong

1.8k total citations
42 papers, 1.0k citations indexed

About

Tian Hong is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Tian Hong has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 11 papers in Oncology and 11 papers in Cancer Research. Recurrent topics in Tian Hong's work include Cancer Cells and Metastasis (9 papers), Single-cell and spatial transcriptomics (6 papers) and Gene Regulatory Network Analysis (6 papers). Tian Hong is often cited by papers focused on Cancer Cells and Metastasis (9 papers), Single-cell and spatial transcriptomics (6 papers) and Gene Regulatory Network Analysis (6 papers). Tian Hong collaborates with scholars based in United States, China and Japan. Tian Hong's co-authors include Qing Nie, Kazuhide Watanabe, Alvaro Villarreal-Ponce, Xing Dai, John J. Tyson, Jianhua Xing, Liwu Li, Chunhe Li, Nicholas Panchy and Adam L. MacLean and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Tian Hong

40 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tian Hong United States 17 672 290 235 142 88 42 1.0k
Toma Tebaldi Italy 24 1.6k 2.3× 229 0.8× 342 1.5× 223 1.6× 39 0.4× 64 2.0k
Edwin E. Jeng United States 8 793 1.2× 133 0.5× 81 0.3× 79 0.6× 31 0.4× 17 973
Shuraila F. Zerp Netherlands 19 1.0k 1.5× 365 1.3× 135 0.6× 106 0.7× 75 0.9× 28 1.4k
Joern Toedling Germany 19 1.7k 2.6× 144 0.5× 507 2.2× 91 0.6× 182 2.1× 31 2.0k
Vassilis Roukos Germany 19 1.4k 2.1× 299 1.0× 147 0.6× 87 0.6× 193 2.2× 31 1.6k
Johannes W. Bigenzahn Austria 16 1.3k 1.9× 217 0.7× 179 0.8× 227 1.6× 60 0.7× 21 1.8k
Anand K. Ganesan United States 24 746 1.1× 211 0.7× 94 0.4× 254 1.8× 27 0.3× 50 1.4k
Meena Choi United States 14 815 1.2× 106 0.4× 95 0.4× 84 0.6× 46 0.5× 24 1.2k
Anne Biton France 15 856 1.3× 124 0.4× 370 1.6× 119 0.8× 56 0.6× 25 1.2k

Countries citing papers authored by Tian Hong

Since Specialization
Citations

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

Fields of papers citing papers by Tian Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tian Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Tian Hong. A scholar is included among the top collaborators of Tian Hong 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 Tian Hong. Tian Hong 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.
Chen, Longmin, et al.. (2025). Emerging role of SETD2 in the development and function of immune cells. Genes & Diseases. 12(6). 101622–101622. 1 indexed citations
2.
Zhang, Jian‐Kang, et al.. (2025). Dual heteroatom-doped porous biochar from chitosan/lignosulfonate gels for enhanced removal of tetracycline by persulfate activation: Performance and mechanism. International Journal of Biological Macromolecules. 295. 139690–139690. 3 indexed citations
3.
Hong, Tian, et al.. (2024). Arp2/3-dependent endocytosis ensures Cdc42 oscillations by removing Pak1-mediated negative feedback. The Journal of Cell Biology. 223(10). 3 indexed citations
4.
Hong, Tian, et al.. (2024). Widespread biochemical reaction networks enable Turing patterns without imposed feedback. Nature Communications. 15(1). 8380–8380. 6 indexed citations
5.
Savagner, Pierre, Thomas Brabletz, Chonghui Cheng, et al.. (2024). Twenty Years of Epithelial-Mesenchymal Transition: A State of the Field from TEMTIA X. Cells Tissues Organs. 213(4). 297–303. 1 indexed citations
6.
Groves, Sarah M., Nicholas Panchy, Darren R. Tyson, et al.. (2023). Involvement of Epithelial–Mesenchymal Transition Genes in Small Cell Lung Cancer Phenotypic Plasticity. Cancers. 15(5). 1477–1477. 11 indexed citations
7.
Willems, Andrew, Nicholas Panchy, & Tian Hong. (2023). Using Single-Cell RNA Sequencing and MicroRNA Targeting Data to Improve Colorectal Cancer Survival Prediction. Cells. 12(2). 228–228. 5 indexed citations
8.
Hong, Tian, et al.. (2022). Nonmodular oscillator and switch based on RNA decay drive regeneration of multimodal gene expression. Nucleic Acids Research. 50(7). 3693–3708. 21 indexed citations
9.
Panchy, Nicholas, et al.. (2022). Comparative single-cell transcriptomes of dose and time dependent epithelial–mesenchymal spectrums. NAR Genomics and Bioinformatics. 4(3). lqac072–lqac072. 12 indexed citations
10.
Willems, Andrew, et al.. (2021). MicroRNA governs bistable cell differentiation and lineage segregation via a noncanonical feedback. Molecular Systems Biology. 17(4). e9945–e9945. 22 indexed citations
11.
Hong, Tian, et al.. (2021). Identification, visualization, statistical analysis and mathematical modeling of high-feedback loops in gene regulatory networks. BMC Bioinformatics. 22(1). 481–481. 9 indexed citations
12.
Panchy, Nicholas, et al.. (2020). Integrative Transcriptomic Analysis Reveals a Multiphasic Epithelial–Mesenchymal Spectrum in Cancer and Non-tumorigenic Cells. Frontiers in Oncology. 9. 1479–1479. 26 indexed citations
13.
Mukherjee, Tanmoy, et al.. (2019). Multiple CheY Homologs Control Swimming Reversals and Transient Pauses in Azospirillum brasilense. Biophysical Journal. 116(8). 1527–1537. 16 indexed citations
14.
Tong, Wenwen, Chang Zhang, Tian Hong, et al.. (2018). Silibinin alleviates inflammation and induces apoptosis in human rheumatoid arthritis fibroblast-like synoviocytes and has a therapeutic effect on arthritis in rats. Scientific Reports. 8(1). 3241–3241. 71 indexed citations
15.
Xu, Xiaoqing, Tian Hong, Jun Huang, et al.. (2016). The interplay between HPIP and casein kinase 1α promotes renal cell carcinoma growth and metastasis via activation of mTOR pathway. Oncogenesis. 5(10). e260–e260. 18 indexed citations
16.
Li, Chunhe, Tian Hong, & Qing Nie. (2016). Quantifying the landscape and kinetic paths for epithelial–mesenchymal transition from a core circuit. Physical Chemistry Chemical Physics. 18(27). 17949–17956. 46 indexed citations
17.
Hong, Tian, Ernest S. Fung, Lei Zhang, et al.. (2015). Semi-adaptive response and noise attenuation in bone morphogenetic protein signalling. Journal of The Royal Society Interface. 12(107). 20150258–20150258. 3 indexed citations
18.
Hong, Tian, Jianhua Xing, Liwu Li, & John J. Tyson. (2012). A simple theoretical framework for understanding heterogeneous differentiation of CD4+ T cells. BMC Systems Biology. 6(1). 66–66. 40 indexed citations
19.
Hong, Tian, et al.. (2011). Identification of residues involved in water versus glycerol selectivity in aquaporins by differential residue pair co-evolution. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1818(3). 907–914. 6 indexed citations
20.

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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