Shan Bian

2.9k total citations · 2 hit papers
35 papers, 2.1k citations indexed

About

Shan Bian is a scholar working on Molecular Biology, Developmental Neuroscience and Cancer Research. According to data from OpenAlex, Shan Bian has authored 35 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Developmental Neuroscience and 11 papers in Cancer Research. Recurrent topics in Shan Bian's work include MicroRNA in disease regulation (11 papers), Neurogenesis and neuroplasticity mechanisms (10 papers) and Pluripotent Stem Cells Research (8 papers). Shan Bian is often cited by papers focused on MicroRNA in disease regulation (11 papers), Neurogenesis and neuroplasticity mechanisms (10 papers) and Pluripotent Stem Cells Research (8 papers). Shan Bian collaborates with scholars based in China, United States and Germany. Shan Bian's co-authors include Juergen A. Knoblich, Joshua A. Bagley, Tao Sun, Daniel Reumann, Julie Lévi‐Strauss, Zhenming Guo, Marko Repic, Christian Krauditsch, Thomas R. Burkard and Anoop Kavirayani and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Neuroscience.

In The Last Decade

Shan Bian

32 papers receiving 2.0k citations

Hit Papers

Fused cerebral organoids model interactions between brain... 2017 2026 2020 2023 2017 2018 100 200 300 400 500

Peers

Shan Bian
Comparison fields: 5 of 112
  • Molecular Biology 1.4k
  • Developmental Neuroscience 462
  • Biomedical Engineering 452
  • Cancer Research 449
  • Cellular and Molecular Neuroscience 356
Replace Sabina Kanton with:
Sabina Kanton Germany
Shigeki Ohta Japan
Sovann Kaing United States
Barbara S. Mallon United States
Giorgia Quadrato United States
David M. Panchision United States
Tammy L. McGuire United States
Érika Pastrana Spain
Shauna H. Yuan United States
Yechiel Elkabetz Israel
Sabina Kanton Germany View profile →
Citations per field, relative to Shan Bian
Shan Bian · 1×
Citations per year, relative to Shan Bian
Shan Bian · 1×

Countries citing papers authored by Shan Bian

Since Specialization
Citations

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

Fields of papers citing papers by Shan Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Bian

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Bian. A scholar is included among the top collaborators of Shan Bian 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 Shan Bian. Shan Bian 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
# Work Indexed citations
1 0
2 0
3 30
4 0
5 3
6 15
7 17
8 14
9 28
10
Genetically engineered cerebral organoids model brain tumor formation breakdown →
313
11 262
12 66
13 50
14 18
15 137
16 37
17 43
18 50
19 63
20 83

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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