Lingxin Meng

65 total papers · 1.9k total citations
27 papers, 528 citations indexed

About

Lingxin Meng is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Lingxin Meng has authored 27 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Lingxin Meng's work include Peptidase Inhibition and Analysis (7 papers), Cardiac Structural Anomalies and Repair (4 papers) and Cancer-related molecular mechanisms research (4 papers). Lingxin Meng is often cited by papers focused on Peptidase Inhibition and Analysis (7 papers), Cardiac Structural Anomalies and Repair (4 papers) and Cancer-related molecular mechanisms research (4 papers). Lingxin Meng collaborates with scholars based in China, Singapore and Denmark. Lingxin Meng's co-authors include Zhide Guo, Jianyang Fang, Jiahui Ren, Jingmei Xu, Zhenguo Zhang, Pengyun Zhao, Zhe Wang, Haojun Chen, Liang Zhao and Qin Lin and has published in prestigious journals such as Journal of Controlled Release, Journal of Medicinal Chemistry and Journal of Membrane Science.

In The Last Decade

Lingxin Meng

27 papers receiving 524 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Lingxin Meng	173	170	109	92	82	27	528
Lin Liu	110 0.6×	282 1.7×	69 0.6×	30 0.3×	118 1.4×	26	559
Ioan Şimon	191 1.1×	152 0.9×	51 0.5×	76 0.8×	56 0.7×	36	516
Sheng-Chun Dang	85 0.5×	155 0.9×	81 0.7×	77 0.8×	100 1.2×	41	568
Shino Nakagawa	125 0.7×	106 0.6×	72 0.7×	39 0.4×	100 1.2×	27	532
Sabina Schwenk‐Zieger	145 0.8×	136 0.8×	66 0.6×	88 1.0×	98 1.2×	25	570
Dinesh Doval	200 1.2×	219 1.3×	116 1.1×	57 0.6×	87 1.1×	32	510
Seung Hee Kang	87 0.5×	141 0.8×	56 0.5×	31 0.3×	19 0.2×	30	545
Ziba Veisi Malekshahi	82 0.5×	286 1.7×	103 0.9×	17 0.2×	146 1.8×	28	602
Peng Zhao	109 0.6×	122 0.7×	68 0.6×	55 0.6×	20 0.2×	42	465
Feiran Zhang	116 0.7×	172 1.0×	48 0.4×	24 0.3×	74 0.9×	31	496

Countries citing papers authored by Lingxin Meng

Since Specialization

Citations

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

Fields of papers citing papers by Lingxin Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingxin Meng

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

All Works

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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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