Meng-Meng Ge

31 total papers · 750 total citations
22 papers, 387 citations indexed

About

Meng-Meng Ge is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Meng-Meng Ge has authored 22 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Meng-Meng Ge's work include Heavy Metal Exposure and Toxicity (5 papers), Pain Mechanisms and Treatments (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Meng-Meng Ge is often cited by papers focused on Heavy Metal Exposure and Toxicity (5 papers), Pain Mechanisms and Treatments (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Meng-Meng Ge collaborates with scholars based in China, United Kingdom and United States. Meng-Meng Ge's co-authors include Fan Hu, Huili Wang, Li Xu, Yuke Tian, Ya‐Qun Zhou, Di‐Yun Ruan, Zhihua Liu, Yi Xu, Dawei Ye and Hui Yang and has published in prestigious journals such as PLoS ONE, Oncogene and Neuroscience.

In The Last Decade

Meng-Meng Ge

20 papers receiving 383 citations

Author Peers

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

Author						Papers	Cites
Meng-Meng Ge	151	108	94	62	44	22	387
Jennifer A. Shumilla	129 0.9×	110 1.0×	145 1.5×	110 1.8×	71 1.6×	14	445
Nasser Zawia	122 0.8×	131 1.2×	97 1.0×	47 0.8×	72 1.6×	12	403
Yahao Ren	114 0.8×	66 0.6×	78 0.8×	76 1.2×	22 0.5×	14	401
Lucio Antonio Ramos-Chávez	110 0.7×	83 0.8×	37 0.4×	31 0.5×	34 0.8×	14	384
Zhongliang Wu	145 1.0×	77 0.7×	38 0.4×	30 0.5×	40 0.9×	24	387
Daniel Juárez-Rebollar	100 0.7×	71 0.7×	46 0.5×	101 1.6×	93 2.1×	11	346
Saritha Krishna	77 0.5×	53 0.5×	95 1.0×	55 0.9×	43 1.0×	22	407
Cyrenius M. Jone	118 0.8×	59 0.5×	128 1.4×	40 0.6×	24 0.5×	15	425
Arseima Y. Del Valle-Pinero	103 0.7×	83 0.8×	219 2.3×	69 1.1×	22 0.5×	14	407
Kenan Yıldızhan	136 0.9×	34 0.3×	100 1.1×	65 1.0×	88 2.0×	31	433

Countries citing papers authored by Meng-Meng Ge

Since Specialization

Citations

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

Fields of papers citing papers by Meng-Meng Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng-Meng Ge

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