Meng Tang

181 total papers · 3.4k total citations
119 papers, 1.7k citations indexed

About

Meng Tang is a scholar working on Physiology, Oncology and Geriatrics and Gerontology. According to data from OpenAlex, Meng Tang has authored 119 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Physiology, 35 papers in Oncology and 18 papers in Geriatrics and Gerontology. Recurrent topics in Meng Tang's work include Nutrition and Health in Aging (43 papers), Inflammatory Biomarkers in Disease Prognosis (24 papers) and Frailty in Older Adults (18 papers). Meng Tang is often cited by papers focused on Nutrition and Health in Aging (43 papers), Inflammatory Biomarkers in Disease Prognosis (24 papers) and Frailty in Older Adults (18 papers). Meng Tang collaborates with scholars based in China, United States and Italy. Meng Tang's co-authors include Hanping Shi, Xi Zhang, Mengmeng Song, Yi‐Zhong Ge, Guo‐Tian Ruan, Ming Yang, Qi Zhang, Hongxia Xu, Chunhua Song and Kang‐Ping Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Frontiers in Immunology.

In The Last Decade

Meng Tang

115 papers receiving 1.7k citations

Hit Papers

Global Burden of Cardiova... 2025 2026 2025 4 8 12

Author Peers

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

Author Last Decade Papers Cites
Meng Tang 633 410 360 280 231 119 1.7k
Ming Wei 227 0.4× 309 0.8× 679 1.9× 24 0.1× 103 0.4× 110 1.7k
Thomas Wunderlich 105 0.2× 93 0.2× 417 1.2× 154 0.6× 135 0.6× 47 1.3k
Xiaowei Zhang 396 0.6× 374 0.9× 433 1.2× 108 0.4× 223 1.0× 102 1.7k
Mark Carpenter 34 0.1× 492 1.2× 514 1.4× 46 0.2× 245 1.1× 68 1.9k
Seung Hwan Moon 290 0.5× 391 1.0× 317 0.9× 77 0.3× 262 1.1× 128 2.2k
Xin Wei 155 0.2× 141 0.3× 535 1.5× 7 0.0× 194 0.8× 90 1.7k
Jin Wei 80 0.1× 68 0.2× 318 0.9× 35 0.1× 75 0.3× 66 1.3k
Tamás Alexy 505 0.8× 40 0.1× 191 0.5× 14 0.1× 311 1.3× 117 1.8k
Shiqi Lin 225 0.4× 342 0.8× 389 1.1× 58 0.2× 71 0.3× 97 1.4k
Masaaki Nishi 161 0.3× 529 1.3× 267 0.7× 64 0.2× 437 1.9× 142 1.4k

Countries citing papers authored by Meng Tang

Since Specialization
Citations

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

Fields of papers citing papers by Meng Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Tang

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