Yan-Li Dang

554 total citations · 1 hit paper
7 papers, 393 citations indexed

About

Yan-Li Dang is a scholar working on Obstetrics and Gynecology, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Yan-Li Dang has authored 7 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Obstetrics and Gynecology, 2 papers in Molecular Biology and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Yan-Li Dang's work include Pregnancy and preeclampsia studies (3 papers), Preterm Birth and Chorioamnionitis (2 papers) and RNA modifications and cancer (1 paper). Yan-Li Dang is often cited by papers focused on Pregnancy and preeclampsia studies (3 papers), Preterm Birth and Chorioamnionitis (2 papers) and RNA modifications and cancer (1 paper). Yan-Li Dang collaborates with scholars based in China, Hong Kong and Canada. Yan-Li Dang's co-authors include Hongmei Wang, Cheng Zhu, Haiyan Lin, Yawei Liu, Xiaoyin Lu, Rui Wang, Hao Ge, James C. Cross, Huiying Wang and Xiaoying Fan and has published in prestigious journals such as Development, Biology of Reproduction and Cell Research.

In The Last Decade

Yan-Li Dang

6 papers receiving 390 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Single-cell RNA-seq reveals the diversity of trophoblast subtypes and patterns of differentiation in the human placenta

2018 286 citations Yawei Liu, Xiaoying Fan et al. Cell Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yan-Li Dang China	3	260	178	170	125	50	7	393
Katharine K. Nelson United States	8	362 1.4×	278 1.6×	197 1.2×	90 0.7×	42 0.8×	10	530
Mariyan J. Jeyarajah Canada	9	180 0.7×	110 0.6×	116 0.7×	77 0.6×	26 0.5×	12	288
Jennet Baltayeva Canada	7	330 1.3×	172 1.0×	124 0.7×	210 1.7×	51 1.0×	8	454
Omar Farah United States	7	171 0.7×	116 0.7×	152 0.9×	75 0.6×	29 0.6×	10	299
Elena S. Vashukova Russia	10	158 0.6×	88 0.5×	107 0.6×	72 0.6×	86 1.7×	37	288
Silke Mark Germany	7	138 0.5×	93 0.5×	95 0.6×	88 0.7×	52 1.0×	8	329
Shuhei Abe Japan	11	194 0.7×	93 0.5×	169 1.0×	106 0.8×	237 4.7×	17	391
Rachel C. West United States	10	90 0.3×	70 0.4×	128 0.8×	67 0.5×	34 0.7×	16	265
Se-Te Joseph Huang United States	7	205 0.8×	94 0.5×	68 0.4×	238 1.9×	32 0.6×	7	380
T. Toloubeydokhti United States	6	214 0.8×	82 0.5×	121 0.7×	142 1.1×	218 4.4×	9	383

Countries citing papers authored by Yan-Li Dang

Since Specialization

Citations

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

Fields of papers citing papers by Yan-Li Dang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan-Li Dang. 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 Yan-Li Dang. The network helps show where Yan-Li Dang may publish in the future.

Co-authorship network of co-authors of Yan-Li Dang

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Zhao, Jian, Yan-Li Dang, Jiaming Lin, Chunhai Hu, & Zhiyong Yu. (2021). Rare isolated extra-hepatic bile duct injury: A case report. World Journal of Clinical Cases. 9(20). 5661–5667. 1 indexed citations

2.

Liu, Yawei, Xiaoying Fan, Rui Wang, et al.. (2018). Single-cell RNA-seq reveals the diversity of trophoblast subtypes and patterns of differentiation in the human placenta . Cell Research. 28(8). 819–832. 286 indexed citations breakdown →

3.

Liu, Yawei, Yan-Li Dang, Xiangxiang Jiang, et al.. (2018). PLAC8, a new marker for human interstitial extravillous trophoblast cells, promotes their invasion and migration. Development. 145(2). 65 indexed citations

4.

Wang, Rui, Yan-Li Dang, Yue Li, et al.. (2014). Live Cell Imaging of In Vitro Human Trophoblast Syncytialization1. Biology of Reproduction. 90(6). 117–117. 38 indexed citations

5.

Zhang, Wenying, et al.. (2011). [Analysis of related factors of premature delivery for the migrant population in local suburban Beijing areas].. PubMed. 91(33). 2340–2. 1 indexed citations

6.

Zhang, Wenying, et al.. (2010). [Study of factors associated with subclinical chorioamnionitis in term pregnancy].. PubMed. 90(9). 618–20. 2 indexed citations

7.

Yu, Yuecheng, Hongmei Li, Xiaoyan Xin, et al.. (2004). [Expression and its clinical significance of p27 protein in cervical carcinoma tissues].. PubMed. 20(6). 730–2.

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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