Yue J. Wang

4.9k citations
80 papers · 3.2k indexed · 2 hit papers · h-index 24
Topics
Pancreatic function and diabetes (24 papers)Medical Image Segmentation Techniques (15 papers)Diabetes and associated disorders (12 papers)
Partner nations
United StatesChinaIsrael

In The Last Decade

Yue J. Wang

74 papers receiving 3.1k citations

Hit Papers

Adult SVZ Stem Cells Lie in a Vascular Niche: A Quantitat...200820262014202020082018250500750

Peers

Yue J. Wang
Comparison fields: 5 of 131
  • Molecular Biology 1.7k
  • Surgery 833
  • Genetics 747
  • Developmental Neuroscience 664
  • Oncology 480
Replace Rea Ravin with:
Rea Ravin United States
Maike Sander United States
Sergio Ottolenghi Italy
Thomas Hiesberger United States
Nadia Dahmane United States
Junko Kuno Japan
Rosanna Dono France
Nils Ole Schmidt Germany
Paul J. Tesar United States
Kevin A. D’Amour United States
Yue J. Wang relative to Rea Ravin United States Rea Ravin's profile →
Citations per field
00.5×6.1×
Rea Ravin · 1×
Citations per year

Countries citing papers authored by Yue J. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yue J. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yue J. Wang. 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 Yue J. Wang. The network helps show where Yue J. Wang may publish in the future.

Co-authorship network of co-authors of Yue J. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yue J. Wang. A scholar is included among the top collaborators of Yue J. Wang 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 Yue J. Wang. Yue J. Wang 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
#WorkIndexed citations
1 1
2 1
3 0
4 2
5 2
6 1
7 14
8 8
9 58
10 11
11 22
12 48
13 35
14
Subepithelial telocytes are an important source of Wnts that supports intestinal cryptsbreakdown →
366
15 21
16 61
17 29
18 31
19 161
20
Adult SVZ Stem Cells Lie in a Vascular Niche: A Quantitative Analysis of Niche Cell-Cell Interactionsbreakdown →
801

About Yue J. Wang

Yue J. Wang is a scholar working on Computer Vision and Pattern Recognition, Developmental Neuroscience and Surgery, having authored 80 papers that have together received 3.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (24 papers), Medical Image Segmentation Techniques (15 papers) and Diabetes and associated disorders (12 papers). The work is most often cited by research in Developmental Neuroscience (664 citations), Neurology (250 citations) and Genetics (747 citations). Yue J. Wang has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Klaus H. Kaestner, Sally Temple, Qin Shen, Erzsebet Kokovay, Badrinath Roysam, Shu-Mien Chuang, Susan K. Goderie, Gang Lin, Ali Naji and Kirk J. Wangensteen. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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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