Tiankun Lu

1.3k total citations
10 papers, 729 citations indexed

About

Tiankun Lu is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Tiankun Lu has authored 10 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Immunology. Recurrent topics in Tiankun Lu's work include Circular RNAs in diseases (6 papers), IL-33, ST2, and ILC Pathways (4 papers) and MicroRNA in disease regulation (4 papers). Tiankun Lu is often cited by papers focused on Circular RNAs in diseases (6 papers), IL-33, ST2, and ILC Pathways (4 papers) and MicroRNA in disease regulation (4 papers). Tiankun Lu collaborates with scholars based in China and United States. Tiankun Lu's co-authors include Zusen Fan, Pingping Zhu, Benyu Liu, Luyun He, Yong Tian, Xiaoxiao Zhu, Jiayi Wu, Ying Du, Buqing Ye and Liuliu Yang and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Neuron.

In The Last Decade

Tiankun Lu

10 papers receiving 723 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tiankun Lu China	10	519	337	134	111	73	10	729
Vahid Kholghi Oskooei Iran	14	383 0.7×	357 1.1×	77 0.6×	29 0.3×	70 1.0×	46	568
Rolanda Bailey United States	5	339 0.7×	107 0.3×	226 1.7×	131 1.2×	32 0.4×	7	686
Rongfang He China	15	651 1.3×	540 1.6×	99 0.7×	62 0.6×	39 0.5×	42	859
Joshua B. Phillips United States	6	303 0.6×	133 0.4×	217 1.6×	275 2.5×	34 0.5×	7	690
Beth Walters United States	11	310 0.6×	112 0.3×	153 1.1×	129 1.2×	21 0.3×	15	558
Feng Wei China	14	240 0.5×	129 0.4×	118 0.9×	270 2.4×	29 0.4×	37	567
Hisashi Kanemaru Japan	11	304 0.6×	185 0.5×	143 1.1×	135 1.2×	27 0.4×	39	562
Pei‐Chun Hsueh Taiwan	8	267 0.5×	139 0.4×	160 1.2×	294 2.6×	34 0.5×	14	648
Ryota Takahashi Japan	14	310 0.6×	84 0.2×	291 2.2×	193 1.7×	151 2.1×	36	728

Countries citing papers authored by Tiankun Lu

Since Specialization

Citations

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

Fields of papers citing papers by Tiankun Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiankun Lu

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

All Works

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10 of 10 papers shown

Chen, Zhenzhen, Tiankun Lu, Jiayi Wu, et al.. (2023). mcPGK1-dependent mitochondrial import of PGK1 promotes metabolic reprogramming and self-renewal of liver TICs. Nature Communications. 14(1). 1121–1121. 45 indexed citations

Zhu, Pingping, Tiankun Lu, Jiayi Wu, et al.. (2022). Gut microbiota drives macrophage-dependent self-renewal of intestinal stem cells via niche enteric serotonergic neurons. Cell Research. 32(6). 555–569. 77 indexed citations

Zhu, Pingping, Tiankun Lu, Zhenzhen Chen, et al.. (2022). 5-hydroxytryptamine produced by enteric serotonergic neurons initiates colorectal cancer stem cell self-renewal and tumorigenesis. Neuron. 110(14). 2268–2282.e4. 97 indexed citations

Gu, Yang, Yanying Wang, Luyun He, et al.. (2021). Circular RNA circIPO11 drives self-renewal of liver cancer initiating cells via Hedgehog signaling. Molecular Cancer. 20(1). 132–132. 105 indexed citations

Chen, Zhenzhen, Tiankun Lu, Lan Huang, et al.. (2021). Circular RNA cia-MAF drives self-renewal and metastasis of liver tumor-initiating cells via transcription factor MAFF. Journal of Clinical Investigation. 131(19). 41 indexed citations

Liu, Benyu, Nian Liu, Xiaoxiao Zhu, et al.. (2021). Circular RNA circZbtb20 maintains ILC3 homeostasis and function via Alkbh5-dependent m6A demethylation of Nr4a1 mRNA. Cellular and Molecular Immunology. 18(6). 1412–1424. 39 indexed citations

Liu, Benyu, Buqing Ye, Xiaoxiao Zhu, et al.. (2020). An inducible circular RNA circKcnt2 inhibits ILC3 activation to facilitate colitis resolution. Nature Communications. 11(1). 4076–4076. 53 indexed citations

Zhu, Pingping, Xiaoxiao Zhu, Jiayi Wu, et al.. (2019). IL-13 secreted by ILC2s promotes the self-renewal of intestinal stem cells through circular RNA circPan3. Nature Immunology. 20(2). 183–194. 160 indexed citations

Liu, Benyu, Liuliu Yang, Xiaoxiao Zhu, et al.. (2019). Yeats4 drives ILC lineage commitment via activation of Lmo4 transcription. The Journal of Experimental Medicine. 216(11). 2653–2668. 13 indexed citations

10.

Wu, Jiayi, Pingping Zhu, Tiankun Lu, et al.. (2018). The long non-coding RNA LncHDAC2 drives the self-renewal of liver cancer stem cells via activation of Hedgehog signaling. Journal of Hepatology. 70(5). 918–929. 99 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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