Yi Pan

3.3k total citations · 1 hit paper
76 papers, 2.5k citations indexed

About

Yi Pan is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Yi Pan has authored 76 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 13 papers in Cell Biology and 13 papers in Genetics. Recurrent topics in Yi Pan's work include Proteoglycans and glycosaminoglycans research (9 papers), Fibroblast Growth Factor Research (8 papers) and Mechanisms of cancer metastasis (7 papers). Yi Pan is often cited by papers focused on Proteoglycans and glycosaminoglycans research (9 papers), Fibroblast Growth Factor Research (8 papers) and Mechanisms of cancer metastasis (7 papers). Yi Pan collaborates with scholars based in China, United States and Canada. Yi Pan's co-authors include Kuikui Ni, Baoge Zhu, Yong Tao, Guoan Zhou, Jin Zhong, Kay Grobe, Yan Chen, Xin Zhang, Jeffrey D. Esko and Fangfang Wang and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Nature Communications.

In The Last Decade

Yi Pan

74 papers receiving 2.4k citations

Hit Papers

Effects of lactic acid bacteria and molasses additives on... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Pan China 28 1.4k 418 398 382 310 76 2.5k
T. Motyl Poland 28 1.3k 0.9× 219 0.5× 397 1.0× 200 0.5× 351 1.1× 134 2.4k
Torsten Stein United Kingdom 27 1.4k 1.0× 129 0.3× 458 1.2× 125 0.3× 422 1.4× 63 2.5k
Neil G. Anderson United Kingdom 27 3.2k 2.3× 276 0.7× 478 1.2× 406 1.1× 275 0.9× 84 4.7k
Ji He United States 23 1.1k 0.8× 175 0.4× 292 0.7× 91 0.2× 125 0.4× 55 2.9k
Xing Fu China 33 2.4k 1.8× 87 0.2× 546 1.4× 230 0.6× 301 1.0× 94 4.2k
Yanli Zhang China 28 1.3k 0.9× 188 0.4× 526 1.3× 57 0.1× 601 1.9× 153 2.2k
Naohito Aoki Japan 26 1.5k 1.1× 46 0.1× 477 1.2× 82 0.2× 260 0.8× 57 2.5k
Shin‐Young Park United States 23 1.7k 1.2× 48 0.1× 259 0.7× 333 0.9× 152 0.5× 48 3.7k
Young‐Ho Park South Korea 25 1.3k 0.9× 47 0.1× 150 0.4× 232 0.6× 87 0.3× 86 2.1k
Jing Sun China 29 1.4k 1.1× 43 0.1× 393 1.0× 121 0.3× 102 0.3× 120 2.5k

Countries citing papers authored by Yi Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yi Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Pan. A scholar is included among the top collaborators of Yi Pan 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 Yi Pan. Yi Pan 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, Yujia, Qianzhong Li, Yi Pan, Xiaoguang Zhao, & Min Tan. (2024). Multi-Stage Image-Language Cross-Generative Fusion Network for Video-Based Referring Expression Comprehension. IEEE Transactions on Image Processing. 33. 3256–3270.
2.
Adachi, Hironori, Yi Pan, Jonathan L. Chen, et al.. (2023). Targeted pseudouridylation: An approach for suppressing nonsense mutations in disease genes. Molecular Cell. 83(4). 637–651.e9. 45 indexed citations
3.
Zhao, Jie, Yi Pan, Yinfeng Zhang, et al.. (2021). Structural insights into the recognition of histone H3Q5 serotonylation by WDR5. Science Advances. 7(25). 27 indexed citations
4.
You, Xue, Weiwei Guo, Lin Wang, et al.. (2017). Subcellular distribution of RAD23B controls XPC degradation and DNA damage repair in response to chemotherapy drugs. Cellular Signalling. 36. 108–116. 18 indexed citations
5.
Zhang, Rui, Zhongzhou Yang, Zhenzhen Wang, et al.. (2015). Heparan Sulfate Biosynthesis Enzyme, Ext1, Contributes to Outflow Tract Development of Mouse Heart via Modulation of FGF Signaling. PLoS ONE. 10(8). e0136518–e0136518. 12 indexed citations
6.
Ling, Zhi‐Qiang, Weiwei Guo, Xiaoxiao Lu, et al.. (2015). PAQR3 expression is downregulated in human breast cancers and correlated with HER2 expression. Oncotarget. 6(14). 12357–12368. 20 indexed citations
7.
Pan, Yi & Yan Chen. (2015). Generation and Characterization of Smad7 Conditional Knockout Mice. Methods in molecular biology. 1344. 233–243. 1 indexed citations
8.
Huang, Heng, Ting Jin, Jing He, et al.. (2012). Progesterone and AdipoQ Receptor 11 Links Ras Signaling to Cardiac Development in Zebrafish. Arteriosclerosis Thrombosis and Vascular Biology. 32(9). 2158–2170. 11 indexed citations
9.
Teoh, Hwee, Adrian Quan, K. W. Annie Bang, et al.. (2012). BRCA1 gene therapy reduces systemic inflammatory response and multiple organ failure and improves survival in experimental sepsis. Gene Therapy. 20(1). 51–61. 21 indexed citations
10.
Pan, Yi, et al.. (2011). The Agrobacterium tumefaciens Transcription Factor BlcR Is Regulated via Oligomerization. Journal of Biological Chemistry. 286(23). 20431–20440. 10 indexed citations
11.
Qu, Xiuxia, et al.. (2011). Genetic epistasis between heparan sulfate and FGF–Ras signaling controls lens development. Developmental Biology. 355(1). 12–20. 31 indexed citations
12.
Shukla, Praphulla Chandra, Krishna K. Singh, Adrian Quan, et al.. (2011). BRCA1 is an essential regulator of heart function and survival following myocardial infarction. Nature Communications. 2(1). 593–593. 115 indexed citations
13.
Pan, Yi, et al.. (2010). Regulation of photoreceptor gene expression by the retinal homeobox (Rx) gene product. Developmental Biology. 339(2). 494–506. 27 indexed citations
14.
Luo, Xiaolin, Qiurong Ding, Min Wang, et al.. (2010). In Vivo Disruption of TGF-β Signaling by Smad7 in Airway Epithelium Alleviates Allergic Asthma but Aggravates Lung Carcinogenesis in Mouse. PLoS ONE. 5(4). e10149–e10149. 27 indexed citations
15.
El‐Hodiri, Heithem M., et al.. (2010). The Retinal Homeobox (Rx) gene is necessary for retinal regeneration in Xenopus laevis tadpoles. Developmental Biology. 344(1). 423–423. 1 indexed citations
16.
Suli, Arminda, Yi Pan, Nicholas Marsh‐Armstrong, et al.. (2008). Temporal regulation of Ath5 gene expression during eye development. Developmental Biology. 326(2). 471–481. 26 indexed citations
17.
Hu, Xiaohua & Yi Pan. (2007). Knowledge discovery in bioinformatics : techniques, methods, and applications. Wiley-Interscience eBooks. 19 indexed citations
18.
Pan, Yi, et al.. (2006). Ndst1 is Required for FGF Signaling in Early Lens Development. Investigative Ophthalmology & Visual Science. 47(13). 1097–1097. 1 indexed citations
19.
Pan, Yi, et al.. (2006). Heparan sulfate biosynthetic gene Ndst1 is required for FGF signaling in early lens development. Development. 133(24). 4933–4944. 86 indexed citations
20.
Zhang, Xin, Sheldon Rowan, Yingzi Yue, et al.. (2006). Pax6 is regulated by Meis and Pbx homeoproteins during pancreatic development. Developmental Biology. 300(2). 748–757. 57 indexed citations

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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