Wei-Bing Song

13 total papers · 513 total citations
10 papers, 419 citations indexed

About

Wei-Bing Song is a scholar working on Molecular Biology, Oncology and Nutrition and Dietetics. According to data from OpenAlex, Wei-Bing Song has authored 10 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Nutrition and Dietetics. Recurrent topics in Wei-Bing Song's work include Drug Transport and Resistance Mechanisms (2 papers), Clinical Nutrition and Gastroenterology (2 papers) and Vitamin C and Antioxidants Research (1 paper). Wei-Bing Song is often cited by papers focused on Drug Transport and Resistance Mechanisms (2 papers), Clinical Nutrition and Gastroenterology (2 papers) and Vitamin C and Antioxidants Research (1 paper). Wei-Bing Song collaborates with scholars based in China, United States and Macao. Wei-Bing Song's co-authors include Lei Su, Xinpei Yu, Liping Xiao, Zhen‐shu Zhang, Qiang Ma, Fangfang Yuan, Bingling Li, Wei Zhu, Yan Geng and Yingsong Wu and has published in prestigious journals such as PLoS ONE, Journal of Hepatology and Cancer Letters.

In The Last Decade

Wei-Bing Song

9 papers receiving 414 citations

Author Peers

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

Author Last Decade Papers Cites
Wei-Bing Song 212 85 63 62 53 10 419
Maria Filomena Paoletti 202 1.0× 67 0.8× 51 0.8× 64 1.0× 24 0.5× 14 470
Hannah K. Fitzgerald 266 1.3× 38 0.4× 54 0.9× 79 1.3× 22 0.4× 11 463
Nicole K. Campbell 253 1.2× 39 0.5× 47 0.7× 84 1.4× 22 0.4× 8 455
Kay Cherian 184 0.9× 60 0.7× 83 1.3× 24 0.4× 27 0.5× 12 483
Stefania Lama 165 0.8× 48 0.6× 75 1.2× 21 0.3× 26 0.5× 21 445
Niel C. Hoglen 183 0.9× 46 0.5× 71 1.1× 47 0.8× 18 0.3× 20 493
Heling Fu 161 0.8× 52 0.6× 25 0.4× 65 1.0× 14 0.3× 13 460
Jiuheng Yin 240 1.1× 61 0.7× 30 0.5× 83 1.3× 11 0.2× 20 449
Paul Lee 124 0.6× 49 0.6× 56 0.9× 22 0.4× 50 0.9× 22 458
Ann Stiko 139 0.7× 47 0.6× 43 0.7× 45 0.7× 17 0.3× 9 461

Countries citing papers authored by Wei-Bing Song

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Bing Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Bing Song. 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 Wei-Bing Song. The network helps show where Wei-Bing Song may publish in the future.

Co-authorship network of co-authors of Wei-Bing Song

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026