Ke Tang

2.0k citations
39 papers · 1.2k indexed · h-index 21
Topics
Pluripotent Stem Cells Research (12 papers)Developmental Biology and Gene Regulation (6 papers)Neurogenesis and neuroplasticity mechanisms (6 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Ke Tang

38 papers receiving 1.2k citations

Peers

Ke Tang
Comparison fields: 5 of 94
  • Molecular Biology 800
  • Genetics 243
  • Cellular and Molecular Neuroscience 207
  • Developmental Neuroscience 141
  • Cancer Research 104
Replace Keri E. Ramsey with:
Keri E. Ramsey United States
Miriam González‐Gómez Spain
Ivy S. Samuels United States
H. R. Widmer Switzerland
Zhoufeng Chen United States
Álvaro Sebastián‐Serrano Spain
C. Oscar Pintado Spain
Hiroaki Kanki Japan
José I. Piruat Spain
Alfredo Cabrera‐Socorro Belgium
Ke Tang relative to Keri E. Ramsey United States Keri E. Ramsey's profile →
Citations per field
00.5×1.5×1.9×
Keri E. Ramsey · 1×
Citations per year

Countries citing papers authored by Ke Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ke Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Tang. A scholar is included among the top collaborators of Ke Tang 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 Ke Tang. Ke Tang 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 0
2 1
3 2
4 1
5 12
6 13
7 4
8 27
9 36
10 10
11 22
12 13
13 77
14 21
15 40
16 78
17 19
18 54
19
A new method to construct the cell microarrays and its application
1
20 68

About Ke Tang

Ke Tang is a scholar working on Developmental Neuroscience, Molecular Biology and Endocrine and Autonomic Systems, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (12 papers), Developmental Biology and Gene Regulation (6 papers) and Neurogenesis and neuroplasticity mechanisms (6 papers). The work is most often cited by research in Developmental Neuroscience (141 citations), Molecular Biology (800 citations) and Cellular and Molecular Neuroscience (207 citations). Ke Tang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Sophia Y. Tsai, Ming‐Jer Tsai, Naihe Jing, Cheng Xue Qin, Jiaheng Li, Yunbo Qiao, Fu‐Jung Lin, Jun Qin, Xiong Yang and Xin Xie. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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