Tuanlin Xiong

915 total citations
8 papers, 407 citations indexed

About

Tuanlin Xiong is a scholar working on Molecular Biology, Insect Science and Cancer Research. According to data from OpenAlex, Tuanlin Xiong has authored 8 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Insect Science and 2 papers in Cancer Research. Recurrent topics in Tuanlin Xiong's work include RNA and protein synthesis mechanisms (3 papers), RNA Research and Splicing (3 papers) and RNA modifications and cancer (2 papers). Tuanlin Xiong is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), RNA Research and Splicing (3 papers) and RNA modifications and cancer (2 papers). Tuanlin Xiong collaborates with scholars based in China, United States and Canada. Tuanlin Xiong's co-authors include Qiangfeng Cliff Zhang, Wenze Huang, Kui Xu, Pan Li, Lei Sun, Jianwei Wang, Jian Rao, Lili Ren, Xiaolin Zhou and Xiaohui Ju and has published in prestigious journals such as Cell, Nature Genetics and Applied and Environmental Microbiology.

In The Last Decade

Tuanlin Xiong

8 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tuanlin Xiong China	7	281	107	91	57	37	8	407
Matthew J. Eckwahl United States	12	468 1.7×	106 1.0×	62 0.7×	26 0.5×	16 0.4×	13	541
Émeline Sarot France	8	323 1.1×	43 0.4×	43 0.5×	36 0.6×	27 0.7×	13	425
Gabrielle Haas France	8	388 1.4×	114 1.1×	30 0.3×	16 0.3×	19 0.5×	12	569
Yanping Quan China	12	221 0.8×	19 0.2×	39 0.4×	70 1.2×	20 0.5×	34	337
Guobin Chang China	13	186 0.7×	100 0.9×	25 0.3×	82 1.4×	10 0.3×	30	347
Beom Ku Han South Korea	13	231 0.8×	37 0.3×	45 0.5×	193 3.4×	7 0.2×	26	374
Ryan C. Donohue United States	11	170 0.6×	15 0.1×	59 0.6×	98 1.7×	31 0.8×	13	313
J.F. Santarén Spain	10	226 0.8×	18 0.2×	66 0.7×	51 0.9×	75 2.0×	12	385
Martin Fekete United States	3	450 1.6×	43 0.4×	21 0.2×	35 0.6×	16 0.4×	5	508
John C. Athey United States	6	256 0.9×	10 0.1×	32 0.4×	53 0.9×	24 0.6×	6	328

Countries citing papers authored by Tuanlin Xiong

Since Specialization

Citations

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

Fields of papers citing papers by Tuanlin Xiong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tuanlin Xiong

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Huang, Wenze, Tuanlin Xiong, Jian Heng, et al.. (2024). Computational prediction and experimental validation identify functionally conserved lncRNAs from zebrafish to human. Nature Genetics. 56(1). 124–135. 23 indexed citations

2.

Sun, Lei, Pan Li, Xiaohui Ju, et al.. (2021). In vivo structural characterization of the SARS-CoV-2 RNA genome identifies host proteins vulnerable to repurposed drugs. Cell. 184(7). 1865–1883.e20. 153 indexed citations

3.

Sun, Lei, Kui Xu, Wenze Huang, et al.. (2021). Predicting dynamic cellular protein–RNA interactions by deep learning using in vivo RNA structures. Cell Research. 31(5). 495–516. 77 indexed citations

4.

Zhao, Zhihua, Hanshuo Zhang, Tuanlin Xiong, et al.. (2020). Suppression of SHROOM1 Improves In Vitro and In Vivo Gene Integration by Promoting Homology-Directed Repair. International Journal of Molecular Sciences. 21(16). 5821–5821. 8 indexed citations

5.

Yang, Lijuan, Tuanlin Xiong, Chao Di, et al.. (2016). Critical roles of long noncoding RNAs in Drosophila spermatogenesis. Genome Research. 26(9). 1233–1244. 125 indexed citations

6.

Xiao, Jingfa, et al.. (2016). The transformer genes in the fig wasp C eratosolen solmsi provide new evidence for duplications independent of complementary sex determination. Insect Molecular Biology. 25(3). 191–201. 6 indexed citations

7.

Xiong, Tuanlin, et al.. (2015). Diversity and evolution of Ty1 ‐copia retroelements within Chalcidoidea by reverse transcriptase domain analysis. Insect Molecular Biology. 24(5). 503–516. 2 indexed citations

8.

Wang, Guan-Hong, Jinhua Xiao, Tuanlin Xiong, et al.. (2013). High-Efficiency Thermal Asymmetric Interlaced PCR (hiTAIL-PCR) for Determination of a Highly Degenerated Prophage WO Genome in a Wolbachia Strain Infecting a Fig Wasp Species. Applied and Environmental Microbiology. 79(23). 7476–7481. 13 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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