Wei‐Lin Qiu

939 total citations
12 papers, 393 citations indexed

About

Wei‐Lin Qiu is a scholar working on Surgery, Genetics and Molecular Biology. According to data from OpenAlex, Wei‐Lin Qiu has authored 12 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 6 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Wei‐Lin Qiu's work include Pancreatic function and diabetes (8 papers), Diabetes and associated disorders (6 papers) and Single-cell and spatial transcriptomics (3 papers). Wei‐Lin Qiu is often cited by papers focused on Pancreatic function and diabetes (8 papers), Diabetes and associated disorders (6 papers) and Single-cell and spatial transcriptomics (3 papers). Wei‐Lin Qiu collaborates with scholars based in China, United States and India. Wei‐Lin Qiu's co-authors include Cheng‐Ran Xu, Lin‐Chen Li, Liu Yang, Yu-Wei Zhang, Feng Ye, Xin‐Xin Yu, Wei‐Hua Wang, Erfei Bi, Zhen Guo and Li Yang and has published in prestigious journals such as The EMBO Journal, Development and Hepatology.

In The Last Decade

Wei‐Lin Qiu

12 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei‐Lin Qiu China 8 262 214 148 80 40 12 393
Lin‐Chen Li China 12 276 1.1× 393 1.8× 170 1.1× 89 1.1× 14 0.3× 18 594
Thorsten Drewes Germany 6 180 0.7× 203 0.9× 134 0.9× 33 0.4× 46 1.1× 6 349
Macarena Ruiz‐Ferrer Spain 15 212 0.8× 202 0.9× 82 0.6× 26 0.3× 20 0.5× 18 439
T. Umehara Japan 4 85 0.3× 214 1.0× 35 0.2× 45 0.6× 13 0.3× 5 299
Jianyang Fu United States 9 83 0.3× 82 0.4× 21 0.1× 24 0.3× 21 0.5× 17 216
Michael E. Doche United States 8 57 0.2× 139 0.6× 69 0.5× 49 0.6× 5 0.1× 12 328
Lieke M. van der Velden Netherlands 10 141 0.5× 234 1.1× 28 0.2× 21 0.3× 33 0.8× 11 439
Vishal S. Parekh United States 9 290 1.1× 244 1.1× 110 0.7× 88 1.1× 4 0.1× 15 500

Countries citing papers authored by Wei‐Lin Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Lin Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Lin Qiu. 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‐Lin Qiu. The network helps show where Wei‐Lin Qiu may publish in the future.

Co-authorship network of co-authors of Wei‐Lin Qiu

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

All Works

12 of 12 papers shown
1.
Yu, Xin‐Xin, Wei‐Lin Qiu, Liu Yang, et al.. (2021). Sequential progenitor states mark the generation of pancreatic endocrine lineages in mice and humans. Cell Research. 31(8). 886–903. 29 indexed citations
2.
Li, Lin‐Chen, Xin Wang, Ziran Xu, et al.. (2020). Single-cell patterning and axis characterization in the murine and human definitive endoderm. Cell Research. 31(3). 326–344. 11 indexed citations
3.
Ye, Feng, Wei‐Lin Qiu, Xin‐Xin Yu, et al.. (2020). Characterizing pancreatic β-cell heterogeneity in the streptozotocin model by single-cell transcriptomic analysis. Molecular Metabolism. 37. 100982–100982. 22 indexed citations
4.
Qiu, Wei‐Lin. (2020). Analysis of Radiation Effect of Coastal Economic Circle Based on Space Vector Model. Journal of Coastal Research. 111(sp1). 2 indexed citations
5.
Yu, Xin‐Xin, Wei‐Lin Qiu, Liu Yang, et al.. (2019). Defining multistep cell fate decision pathways during pancreatic development at single‐cell resolution. The EMBO Journal. 38(8). 52 indexed citations
6.
Li, Lin‐Chen, Xin‐Xin Yu, Yu-Wei Zhang, et al.. (2018). Single-cell Transcriptomic Analyses of Mouse Pancreatic Endocrine Cells. Journal of Visualized Experiments. 3 indexed citations
7.
Yu, Xin‐Xin, Wei‐Lin Qiu, Liu Yang, et al.. (2018). Dynamics of chromatin marks and the role of JMJD3 during pancreatic endocrine cell fate commitment. Development. 145(6). 25 indexed citations
8.
Li, Lin‐Chen, Xinxin Yu, Yu-Wei Zhang, et al.. (2018). Single-cell Transcriptomic Analyses of Mouse Pancreatic Endocrine Cells. Journal of Visualized Experiments. 2 indexed citations
9.
Li, Lin‐Chen, Wei‐Lin Qiu, Yuwei Zhang, et al.. (2018). Single‐cell transcriptomic analyses reveal distinct dorsal/ventral pancreatic programs. EMBO Reports. 19(10). 25 indexed citations
10.
Qiu, Wei‐Lin, Yu-Wei Zhang, Feng Ye, et al.. (2017). Deciphering Pancreatic Islet β Cell and α Cell Maturation Pathways and Characteristic Features at the Single-Cell Level. Cell Metabolism. 25(5). 1194–1205.e4. 119 indexed citations
11.
Yang, Li, Wei‐Hua Wang, Wei‐Lin Qiu, et al.. (2017). A single‐cell transcriptomic analysis reveals precise pathways and regulatory mechanisms underlying hepatoblast differentiation. Hepatology. 66(5). 1387–1401. 101 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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