Dandan Yu

2.5k total citations · 1 hit paper
91 papers, 1.7k citations indexed

About

Dandan Yu is a scholar working on Molecular Biology, Global and Planetary Change and Immunology. According to data from OpenAlex, Dandan Yu has authored 91 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 20 papers in Global and Planetary Change and 15 papers in Immunology. Recurrent topics in Dandan Yu's work include interferon and immune responses (14 papers), Land Use and Ecosystem Services (10 papers) and Immune Response and Inflammation (8 papers). Dandan Yu is often cited by papers focused on interferon and immune responses (14 papers), Land Use and Ecosystem Services (10 papers) and Immune Response and Inflammation (8 papers). Dandan Yu collaborates with scholars based in China, Hong Kong and United States. Dandan Yu's co-authors include Yong‐Gang Yao, Ling Xu, Yu Fan, Yun Cao, Haigen Xu, Nan Lü, Bojie Fu, Mingchang Cao, Henrique M. Pereira and Yuxiao He and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Dandan Yu

81 papers receiving 1.7k citations

Hit Papers

Ensuring effective implementation of the post-2020 global... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dandan Yu China 23 475 433 262 200 142 91 1.7k
Nirmal Bhagabati United States 9 995 2.1× 696 1.6× 185 0.7× 423 2.1× 56 0.4× 14 2.7k
Richard Park United States 26 565 1.2× 195 0.5× 288 1.1× 574 2.9× 96 0.7× 65 2.7k
Alan Y. Chiang United States 17 515 1.1× 495 1.1× 59 0.2× 478 2.4× 41 0.3× 42 2.8k
Joseph Sexton Norway 19 185 0.4× 222 0.5× 195 0.7× 323 1.6× 73 0.5× 75 1.8k
Anna J. MacDonald United Kingdom 24 278 0.6× 220 0.5× 172 0.7× 643 3.2× 56 0.4× 87 1.8k
Ricardo Rocha Portugal 32 704 1.5× 287 0.7× 69 0.3× 1.1k 5.4× 117 0.8× 111 5.3k
Bernhard Maier United States 35 1.9k 3.9× 271 0.6× 867 3.3× 326 1.6× 102 0.7× 121 4.5k
Mark Bulling United Kingdom 27 311 0.7× 550 1.3× 103 0.4× 1.2k 5.8× 23 0.2× 53 2.1k
Francisco Ramı́rez Spain 31 265 0.6× 774 1.8× 477 1.8× 1.5k 7.3× 55 0.4× 128 2.9k
Emma Knight Australia 28 266 0.6× 668 1.5× 710 2.7× 531 2.7× 52 0.4× 50 3.2k

Countries citing papers authored by Dandan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Dandan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dandan Yu

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

All Works

20 of 20 papers shown
1.
Zhang, Xiaodong, Qiang Chen, Dandan Yu, et al.. (2025). Modeling the elongation of commingled BTEX and chlorinated ethene plumes undergoing biodegradation with a multi-level substrate interaction module. Journal of Hazardous Materials. 491. 137929–137929.
2.
3.
Zhang, Xiaodong, et al.. (2024). An approach for estimating microbial growth and chlorinated ethenes biotransformation in groundwater based on discrete observations. Environmental Pollution. 356. 124332–124332. 1 indexed citations
4.
Yu, Dandan, et al.. (2024). Experimental and numerical analysis of seismic performance of jacket platforms subjected to onshore and offshore earthquakes. Engineering Structures. 311. 118177–118177. 6 indexed citations
5.
Liu, Wanyang, Qian Zhang, Juan Shen, et al.. (2024). HAPLN3 p.T34A contributes to incomplete penetrance of moyamoya disease in Chinese carrying RNF213 p.R4810K. European Journal of Neurology. 31(12). e16473–e16473. 4 indexed citations
6.
Yu, Dandan, Qingfeng Miao, Haibin Shi, et al.. (2024). Influence and Mechanism of Fertilization and Irrigation of Heavy Metal Accumulation in Salinized Soils. Agriculture. 14(10). 1694–1694. 1 indexed citations
8.
Yu, Dandan, et al.. (2023). Numerical Simulation of Artificial Recharge Groundwater Effect on Overlying Soft Clay Compression Control. Advances in Civil Engineering. 2023. 1–10.
10.
Ma, Qiang, Wenji Ma, Tian‐Zhang Song, et al.. (2022). Single-nucleus transcriptomic profiling of multiple organs in a rhesus macaque model of SARS-CoV-2 infection. 动物学研究. 43(6). 1041–1062. 9 indexed citations
11.
Zheng, Xiao, et al.. (2021). Characterizing the role of Tupaia DNA damage inducible transcript 3 (DDIT3) gene in viral infections. Developmental & Comparative Immunology. 127. 104307–104307. 2 indexed citations
12.
Xu, Ling, Dandan Yu, Li Peng, et al.. (2020). An Alternative Splicing of Tupaia STING Modulated Anti-RNA Virus Responses by Targeting MDA5-LGP2 and IRF3. The Journal of Immunology. 204(12). 3191–3204. 18 indexed citations
13.
Xu, Ling, Dandan Yu, Yulin Yao, et al.. (2020). Tupaia MAVS Is a Dual Target during Hepatitis C Virus Infection for Innate Immune Evasion and Viral Replication via NF-κB. The Journal of Immunology. 205(8). 2091–2099. 13 indexed citations
14.
Huang, Xiaogang, et al.. (2020). Evaluation and Error Analysis of Official Tropical Cyclone Intensity Forecasts during 2005–2018 for the Western North Pacific. Journal of the Meteorological Society of Japan Ser II. 99(1). 139–163. 32 indexed citations
15.
Shi, Haibin, et al.. (2019). Temporal and Spatial Variability Analysis of Soil Water and Salt and the Influence of Groundwater Depth on Salt in Saline Irrigation Area. 33(3). 246–253. 8 indexed citations
16.
Zhang, Kun, et al.. (2018). Research advance on ecological security in China: assessment models and management measures.. Shengtai yu nongcun huanjing xuebao. 34(12). 1057–1063. 8 indexed citations
17.
Xu, Ling, Dandan Yu, Yu Fan, et al.. (2016). Loss of RIG-I leads to a functional replacement with MDA5 in the Chinese tree shrew. Proceedings of the National Academy of Sciences. 113(39). 10950–10955. 66 indexed citations
18.
Xu, Gui‐Qing, Dandan Yu, Jiangbo Xie, Lisong Tang, & Yan Li. (2014). What makes Haloxylon persicum grow on sand dunes while H. ammodendron grows on interdune lowlands: a proof from reciprocal transplant experiments. Journal of Arid Land. 6(5). 581–591. 22 indexed citations
19.
Bi, Rui, A‐Mei Zhang, Dandan Yu, Diana Chen, & Yong‐Gang Yao. (2010). Screening the three LHON primary mutations in the general Chinese population by using an optimized multiplex allele-specific PCR. Clinica Chimica Acta. 411(21-22). 1671–1674. 18 indexed citations
20.
Yu, Dandan. (2007). A CHARACTERISTIC CORRELATION ANALYSIS BETWEEN THE ASIA SUMMER MONSOON MEMBERS AND THE WEST PACIFIC SUBTROPICAL HIGH.

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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