Meng Ding

36 total papers · 672 total citations
27 papers, 417 citations indexed

About

Meng Ding is a scholar working on Oncology, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Meng Ding has authored 27 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Public Health, Environmental and Occupational Health and 6 papers in Physiology. Recurrent topics in Meng Ding's work include Obesity, Physical Activity, Diet (6 papers), Cancer survivorship and care (6 papers) and Cancer-related cognitive impairment studies (3 papers). Meng Ding is often cited by papers focused on Obesity, Physical Activity, Diet (6 papers), Cancer survivorship and care (6 papers) and Cancer-related cognitive impairment studies (3 papers). Meng Ding collaborates with scholars based in China and United States. Meng Ding's co-authors include Xiaosheng Dong, Xiangren Yi, Xianhai Chen, Kejian Li, Wei Zhang, Wenxin Chen, Zan Gao, Dezong Gao, Yanan Zhou and Baozhen Wang and has published in prestigious journals such as Neuroscience, European Journal of Pharmacology and International Journal of Environmental Research and Public Health.

In The Last Decade

Meng Ding

26 papers receiving 409 citations

Author Peers

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

Author						Papers	Cites
Meng Ding	93	89	80	67	52	27	417
Xiaosheng Dong	103 1.1×	84 0.9×	40 0.5×	72 1.1×	37 0.7×	34	369
Luis Carlos Abecia Inchaurregui	90 1.0×	31 0.3×	53 0.7×	21 0.3×	37 0.7×	33	443
Guihua Xu	38 0.4×	51 0.6×	26 0.3×	41 0.6×	21 0.4×	23	453
Edgar Debray Hernández-Álvarez	71 0.8×	30 0.3×	92 1.1×	20 0.3×	25 0.5×	22	438
Sara Reina‐Gutiérrez	88 0.9×	34 0.4×	41 0.5×	35 0.5×	38 0.7×	34	449
Jennifer Peoples	84 0.9×	17 0.2×	111 1.4×	62 0.9×	60 1.2×	15	430
Sarah Roberts	109 1.2×	33 0.4×	34 0.4×	66 1.0×	46 0.9×	21	466
Mary H. Sailors	183 2.0×	56 0.6×	54 0.7×	82 1.2×	25 0.5×	16	493
Leonessa Boing	70 0.8×	237 2.7×	57 0.7×	53 0.8×	39 0.8×	54	449
Daniele Zangla	81 0.9×	19 0.2×	60 0.8×	22 0.3×	11 0.2×	36	443

Countries citing papers authored by Meng Ding

Since Specialization

Citations

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

Fields of papers citing papers by Meng Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Ding

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