Jian Shu

4.0k citations
9 papers · 1.8k indexed · 2 hit papers · h-index 9
Topics
Pluripotent Stem Cells Research (4 papers)CRISPR and Genetic Engineering (4 papers)Single-cell and spatial transcriptomics (2 papers)
Partner nations
United StatesChinaPoland

In The Last Decade

Jian Shu

9 papers receiving 1.8k citations

Hit Papers

Editing DNA Methylation in the Mammalian Genome201620262019202220162019250500750

Peers

Jian Shu
Comparison fields: 5 of 121
  • Molecular Biology 1.5k
  • Genetics 269
  • Surgery 163
  • Immunology 133
  • Neurology 118
Replace Joseph M. Replogle with:
Joseph M. Replogle United States
Johanna Klughammer Austria
Tushar Desai United States
Eric Shifrut Israel
Vladimir Yu Kiselev United Kingdom
Atray Dixit United States
Peter Krawitz Germany
Charles P. Fulco United States
Tamir Chandra United Kingdom
Beth Martin United States
Jian Shu relative to Joseph M. Replogle United States Joseph M. Replogle's profile →
Citations per field
00.5×3.1×
Joseph M. Replogle · 1×
Citations per year

Countries citing papers authored by Jian Shu

Since Specialization
Citations

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

Fields of papers citing papers by Jian Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Shu

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 10
2 15
3 59
4
Optimal-Transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogrammingbreakdown →
409
5 133
6
Editing DNA Methylation in the Mammalian Genomebreakdown →
863
7 56
8 243
9 15

About Jian Shu

Jian Shu is a scholar working on Developmental Neuroscience, Hepatology and Neurology, having authored 9 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (4 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Aging (65 citations), Business and International Management (44 citations) and Molecular Biology (1.5k citations). Jian Shu has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Rudolf Jaenisch, Ji Xiong, Daniel Benjamin Dadon, X. Shawn Liu, Xuebing Wu, Szymon Czauderna, Richard A. Young, Yonatan Stelzer, Hao Wu and Peter Berube. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

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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