Kun Meng

435 total citations
10 papers, 277 citations indexed

About

Kun Meng is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Kun Meng has authored 10 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Surgery. Recurrent topics in Kun Meng's work include RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers) and Renal cell carcinoma treatment (2 papers). Kun Meng is often cited by papers focused on RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers) and Renal cell carcinoma treatment (2 papers). Kun Meng collaborates with scholars based in China. Kun Meng's co-authors include Qing‐Yu He, Shaohua Lu, Jing Zhang, Tong Wang, Xingfeng Yin, Zhenghua Sun, Li Sun, Yaxing Li, Jing Zhao and Xin‐Lei Lian and has published in prestigious journals such as Nucleic Acids Research, British Journal of Cancer and EMBO Reports.

In The Last Decade

Kun Meng

10 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kun Meng China	7	241	146	22	22	21	10	277
Ren Mo China	7	150 0.6×	89 0.6×	35 1.6×	14 0.6×	25 1.2×	12	196
Ziva Pogacar Netherlands	7	179 0.7×	105 0.7×	25 1.1×	44 2.0×	34 1.6×	8	267
Sepideh Kadkhoda Iran	12	256 1.1×	231 1.6×	38 1.7×	20 0.9×	27 1.3×	22	329
Alona Sarver Israel	2	221 0.9×	167 1.1×	30 1.4×	16 0.7×	20 1.0×	2	307
Alina Chakraborty France	6	193 0.8×	56 0.4×	13 0.6×	21 1.0×	27 1.3×	7	222
Sonja-Maria Decking Germany	6	175 0.7×	144 1.0×	14 0.6×	44 2.0×	40 1.9×	8	242
Maria C. Passarelli United States	8	304 1.3×	99 0.7×	9 0.4×	20 0.9×	22 1.0×	8	343
Yihong Luo China	8	210 0.9×	106 0.7×	36 1.6×	28 1.3×	18 0.9×	21	269
Danxi Zhu China	7	149 0.6×	77 0.5×	15 0.7×	9 0.4×	31 1.5×	8	200
Qingyang Sun China	6	254 1.1×	143 1.0×	24 1.1×	23 1.0×	66 3.1×	12	295

Countries citing papers authored by Kun Meng

Since Specialization

Citations

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

Fields of papers citing papers by Kun Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Meng. A scholar is included among the top collaborators of Kun Meng 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 Kun Meng. Kun Meng 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:

10 of 10 papers shown

1.

Meng, Kun, Yuying Li, Xiaoyi Yuan, et al.. (2025). The cryptic lncRNA-encoded microprotein TPM3P9 drives oncogenic RNA splicing and tumorigenesis. Signal Transduction and Targeted Therapy. 10(1). 43–43. 2 indexed citations

2.

Zheng, Dandan, Xinyu Shi, Xiaoyi Yuan, et al.. (2024). Temporal dynamics of immune cell patterns in bladder cancer patients receiving Bacillus Calmette-Guérin therapy. British Journal of Cancer. 131(12). 1901–1912. 1 indexed citations

3.

Meng, Kun, Yuying Li, Yang Wang, et al.. (2023). EFHD1, a novel mitochondrial regulator of tumor metastasis in clear cell renal cell carcinoma. Cancer Science. 114(5). 2029–2040. 17 indexed citations

4.

Meng, Kun, Shaohua Lu, Yuying Li, et al.. (2023). LINC00493‐encoded microprotein SMIM26 exerts anti‐metastatic activity in renal cell carcinoma. EMBO Reports. 24(6). e56282–e56282. 26 indexed citations

5.

Meng, Kun, et al.. (2023). A five-protein prognostic signature with GBP2 functioning in immune cell infiltration of clear cell renal cell carcinoma. Computational and Structural Biotechnology Journal. 21. 2621–2630. 6 indexed citations

6.

Meng, Kun, Shaohua Lu, Yue Sun, et al.. (2020). Quantitative Mitochondrial Proteomics Reveals ANXA7 as a Crucial Factor in Mitophagy. Journal of Proteome Research. 19(3). 1275–1284. 11 indexed citations

7.

Gao, Jing, Yang Wang, Weixia Zhang, et al.. (2020). C20orf27 Promotes Cell Growth and Proliferation of Colorectal Cancer via the TGFβR-TAK1-NFĸB Pathway. Cancers. 12(2). 336–336. 8 indexed citations

8.

Lu, Shaohua, Jing Zhang, Xin‐Lei Lian, et al.. (2019). A hidden human proteome encoded by ‘non-coding’ genes. Nucleic Acids Research. 47(15). 8111–8125. 131 indexed citations

9.

Gao, Jing, Yang Wang, Jie Yang, et al.. (2019). RNF128 Promotes Invasion and Metastasis Via the EGFR/MAPK/MMP-2 Pathway in Esophageal Squamous Cell Carcinoma. Cancers. 11(6). 840–840. 35 indexed citations

10.

Zhang, Jing, Shaohua Lu, Ye Zhou, et al.. (2017). Motile hepatocellular carcinoma cells preferentially secret sugar metabolism regulatory proteins via exosomes. PROTEOMICS. 17(13-14). 40 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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