Yuanyuan Lang

23 total papers · 575 total citations
16 papers, 461 citations indexed

About

Yuanyuan Lang is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Yuanyuan Lang has authored 16 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Yuanyuan Lang's work include Cancer-related molecular mechanisms research (3 papers), Bone Metabolism and Diseases (2 papers) and Adipose Tissue and Metabolism (2 papers). Yuanyuan Lang is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), Bone Metabolism and Diseases (2 papers) and Adipose Tissue and Metabolism (2 papers). Yuanyuan Lang collaborates with scholars based in China and United States. Yuanyuan Lang's co-authors include Tao Liu, Xin Li, Min Liu, Yang Liu, Xinyue Xu, Zhe Sun, Yu Cao, Wen Zhou, Bingzhen Lin and Xiao-kun Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Environmental Pollution.

In The Last Decade

Yuanyuan Lang

15 papers receiving 457 citations

Author Peers

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

Author Last Decade Papers Cites
Yuanyuan Lang 322 276 41 37 22 16 461
Wene Zhao 297 0.9× 123 0.4× 48 1.2× 26 0.7× 20 0.9× 18 509
Mei Zhang 315 1.0× 275 1.0× 70 1.7× 45 1.2× 21 1.0× 21 540
Qi Zhou 331 1.0× 242 0.9× 26 0.6× 44 1.2× 16 0.7× 21 441
Matthew D. Streeter 310 1.0× 115 0.4× 38 0.9× 16 0.4× 44 2.0× 15 525
Wei Xu 378 1.2× 257 0.9× 30 0.7× 24 0.6× 31 1.4× 15 492
Xuejun Cheng 386 1.2× 130 0.5× 89 2.2× 16 0.4× 36 1.6× 21 525
Hamada A. Mokhlis 309 1.0× 223 0.8× 27 0.7× 10 0.3× 26 1.2× 18 488
Mohammad Reza Sadeghi 342 1.1× 101 0.4× 42 1.0× 23 0.6× 20 0.9× 16 479
Fengmeng Teng 231 0.7× 175 0.6× 41 1.0× 12 0.3× 38 1.7× 24 459
Wei Liu 318 1.0× 253 0.9× 34 0.8× 13 0.4× 16 0.7× 26 470

Countries citing papers authored by Yuanyuan Lang

Since Specialization
Citations

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

Fields of papers citing papers by Yuanyuan Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanyuan Lang

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