Songhai Tian

1.1k total citations
25 papers, 788 citations indexed

About

Songhai Tian is a scholar working on Infectious Diseases, Molecular Biology and Immunology. According to data from OpenAlex, Songhai Tian has authored 25 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 11 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Songhai Tian's work include Clostridium difficile and Clostridium perfringens research (8 papers), Toxin Mechanisms and Immunotoxins (7 papers) and CRISPR and Genetic Engineering (5 papers). Songhai Tian is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (8 papers), Toxin Mechanisms and Immunotoxins (7 papers) and CRISPR and Genetic Engineering (5 papers). Songhai Tian collaborates with scholars based in United States, China and Germany. Songhai Tian's co-authors include Min Dong, Bin Xia, Anna Sintsova, Linru Wang, Blair R. G. Gordon, Jun Liu, William Wiley Navarre, Yifei Li, Harm van Bakel and Liang Tao and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Songhai Tian

23 papers receiving 783 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Songhai Tian United States 16 375 283 193 145 118 25 788
Akash Ranjan India 19 578 1.5× 214 0.8× 226 1.2× 185 1.3× 143 1.2× 59 1.1k
Xing Yu Australia 15 343 0.9× 289 1.0× 101 0.5× 263 1.8× 89 0.8× 32 792
Carolina Trujillo United States 15 587 1.6× 506 1.8× 366 1.9× 115 0.8× 121 1.0× 23 985
Kuppamuthu Dharmalingam India 21 559 1.5× 216 0.8× 133 0.7× 173 1.2× 201 1.7× 78 1.2k
Sheetal Gandotra India 16 532 1.4× 411 1.5× 334 1.7× 242 1.7× 106 0.9× 24 1.0k
Tobias Hertlein Germany 19 428 1.1× 331 1.2× 118 0.6× 128 0.9× 64 0.5× 35 829
Nicole Scherr Switzerland 15 294 0.8× 309 1.1× 327 1.7× 45 0.3× 86 0.7× 22 706
Emilie Layre United States 21 537 1.4× 558 2.0× 471 2.4× 365 2.5× 79 0.7× 28 1.3k
Nikolay Stoynov Canada 14 339 0.9× 109 0.4× 140 0.7× 68 0.5× 98 0.8× 28 687
Sandeep Upadhyay India 12 358 1.0× 432 1.5× 366 1.9× 157 1.1× 74 0.6× 13 761

Countries citing papers authored by Songhai Tian

Since Specialization
Citations

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

Fields of papers citing papers by Songhai Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songhai Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Songhai Tian. A scholar is included among the top collaborators of Songhai 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 Songhai Tian. Songhai 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.
Liu, Shuyan, Qianquan Ma, Chong Zeng, et al.. (2025). Crosstalk between lactylation and RNA modifications in tumorigenesis: mechanisms and therapeutic implications. Biomarker Research. 13(1). 110–110.
2.
Wang, Jingyao, Qianquan Ma, & Songhai Tian. (2025). Against Clostridioides difficile Infection: An Update on Vaccine Development. Toxins. 17(5). 222–222. 1 indexed citations
3.
Tian, Songhai, Y Qin, Yuxuan Wu, & Min Dong. (2024). Design, performance, processing, and validation of a pooled CRISPR perturbation screen for bacterial toxins. Nature Protocols. 20(5). 1158–1195. 3 indexed citations
4.
Viswanatha, Raghuvir, Oleg Sitsel, Daniel Roderer, et al.. (2022). CRISPR screens in Drosophila cells identify Vsg as a Tc toxin receptor. Nature. 610(7931). 349–355. 19 indexed citations
5.
Tian, Songhai, Xiaozhe Xiong, Ji Zeng, et al.. (2022). Identification of TFPI as a receptor reveals recombination-driven receptor switching in Clostridioides difficile toxin B variants. Nature Communications. 13(1). 6786–6786. 21 indexed citations
6.
Xiong, Xiaozhe, Songhai Tian, Pan Yang, et al.. (2022). Emerging enterococcus pore-forming toxins with MHC/HLA-I as receptors. Cell. 185(7). 1157–1171.e22. 42 indexed citations
7.
Tian, Songhai, et al.. (2022). Targeted intracellular delivery of Cas13 and Cas9 nucleases using bacterial toxin-based platforms. Cell Reports. 38(10). 110476–110476. 20 indexed citations
8.
Tian, Songhai, Julian Knerr, Hans Bakker, et al.. (2021). Yersinia pseudotuberculosis cytotoxic necrotizing factor interacts with glycosaminoglycans. The FASEB Journal. 35(7). e21647–e21647. 6 indexed citations
9.
Chen, Peng, Ji Zeng, Zheng Liu, et al.. (2021). Structural basis for CSPG4 as a receptor for TcdB and a therapeutic target in Clostridioides difficile infection. Nature Communications. 12(1). 3748–3748. 51 indexed citations
10.
Wang, Yu, Zhiyong Wu, Zihan Zheng, et al.. (2020). Long Non-Coding RNA H19 Promotes Proliferation, Migration and Invasion and Inhibits Apoptosis of Breast Cancer Cells by Targeting miR-491-5p/ZNF703 Axis. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Tian, Songhai, Yang Liu, Hao Wu, et al.. (2020). Genome-Wide CRISPR Screen Identifies Semaphorin 6A and 6B as Receptors for Paeniclostridium sordellii Toxin TcsL. Cell Host & Microbe. 27(5). 782–792.e7. 28 indexed citations
12.
Tian, Songhai, Fung‐Ming Siu, Chun‐Nam Lok, Yi Man Eva Fung, & Chi‐Ming Che. (2019). Anticancer auranofin engages 3-hydroxy-3-methylglutaryl-coenzyme A reductase (HMGCR) as a target. Metallomics. 11(11). 1925–1936. 14 indexed citations
13.
Tian, Songhai, Quan Wu, Bo Zhou, et al.. (2019). Proteomic Analysis Identifies Membrane Proteins Dependent on the ER Membrane Protein Complex. Cell Reports. 28(10). 2517–2526.e5. 48 indexed citations
14.
Tao, Liang, Songhai Tian, Jie Zhang, et al.. (2019). Sulfated glycosaminoglycans and low-density lipoprotein receptor contribute to Clostridium difficile toxin A entry into cells. Nature Microbiology. 4(10). 1760–1769. 73 indexed citations
15.
Tian, Songhai, Khaja Muneeruddin, Mei Yuk Choi, et al.. (2018). Genome-wide CRISPR screens for Shiga toxins and ricin reveal Golgi proteins critical for glycosylation. PLoS Biology. 16(11). e2006951–e2006951. 65 indexed citations
16.
Tian, Songhai, Fung‐Ming Siu, S.C.F. Kui, Chun‐Nam Lok, & Chi‐Ming Che. (2011). Anticancer gold(i)–phosphine complexes as potent autophagy-inducing agents. Chemical Communications. 47(33). 9318–9318. 58 indexed citations
17.
Gordon, Blair R. G., Yifei Li, Linru Wang, et al.. (2010). Lsr2 is a nucleoid-associated protein that targets AT-rich sequences and virulence genes inMycobacterium tuberculosis. Proceedings of the National Academy of Sciences. 107(11). 5154–5159. 173 indexed citations
18.
Lin, Jian, Yang Li, Zhirong Liu, et al.. (2010). LEC–BiFC: a new method for rapid assay of protein interaction. Biotechnic & Histochemistry. 86(4). 272–279. 16 indexed citations
19.
Tian, Songhai, Jian Lin, Jun Zhou, et al.. (2010). Beclin 1-independent autophagy induced by a Bcl-XL/Bcl-2 targeting compound, Z18. Autophagy. 6(8). 1032–1041. 63 indexed citations
20.
Lin, Jian, Yanjun Li, Wenyu Yu, et al.. (2009). A novel Bcl-XLinhibitor Z36 that induces autophagic cell death in Hela cells. Autophagy. 5(3). 314–320. 31 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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