Sanbing Shen

10.0k citations
80 papers · 3.1k indexed · h-index 26

Impact in

Papers in

Sanbing Shen

75 papers receiving 3.0k citations

Peers

Sanbing Shen
Comparison fields: 5 of 111
  • Endocrine and Autonomic Systems 696
  • Cellular and Molecular Neuroscience 987
  • Aging 60
  • Developmental Biology 67
  • Developmental Neuroscience 109
Replace Fred W. van Leeuwen with:
Fred W. van Leeuwen Netherlands
Jun Chul Kim Canada
Gay R. Holstein United States
Steven G. Kohama United States
Haruo Nogami Japan
Rajeshwar Awatramani United States
Atsu Aiba Japan
Sonja M. Wojcik Germany
Alessandro Furlan Sweden
Russell J. Ferland United States
Sanbing Shen relative to Fred W. van Leeuwen Netherlands Fred W. van Leeuwen's profile →
Citations per field
00.5×5.6×
Fred W. van Leeuwen · 1×
Citations per year

Countries citing papers authored by Sanbing Shen

Since Specialization
Citations

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

Fields of papers citing papers by Sanbing Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sanbing Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sanbing Shen Line = papers co-authored together Sanbing Shen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20248
2 20240
3 20240
4 20240
5 20235
6 20232
7 202017
8 20202
9 201982
10 20196
11 20191
12 2017109
13 201724
14 201631
15 201675
16 201124
17 20104
18 2009112
19 199532
20 199091

About Sanbing Shen

Sanbing Shen is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Molecular Biology and Cognitive Neuroscience, having authored 80 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (23 papers), CRISPR and Genetic Engineering (18 papers), Neuroscience and Neural Engineering (11 papers), Autism Spectrum Disorder Research (10 papers), Genetics and Neurodevelopmental Disorders (8 papers), Cardiac electrophysiology and arrhythmias (7 papers), Neuropeptides and Animal Physiology (7 papers) and Neurogenesis and neuroplasticity mechanisms (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (696 citations), Cellular and Molecular Neuroscience (987 citations), Aging (60 citations), Developmental Biology (67 citations) and Developmental Neuroscience (109 citations). Sanbing Shen has collaborated with scholars based in Ireland, China and United Kingdom. Frequent co-authors include Anthony J. Harmar, W. John Sheward, Christine F. Morrison, Hugh Marston, Katrine West, Timothy O’Brien, Jeroen Charité, Jacqueline Deschamps, Wim de Graaff and Hugh D. Piggins. Their work appears in journals such as Stem Cell Research, Stem Cell Research & Therapy, European Journal of Neuroscience, Journal of Neuroscience and Cell.

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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