Guan-Dong Shang

1.4k citations
16 papers · 910 indexed · 1 hit paper · h-index 12
Topics
Plant Molecular Biology Research (14 papers)Plant Reproductive Biology (6 papers)Chromosomal and Genetic Variations (5 papers)
Partner nations
ChinaAustraliaGermany

In The Last Decade

Guan-Dong Shang

16 papers receiving 900 citations

Hit Papers

A Single-Cell RNA Sequencing Profiles the Developmental L...20192026202120232019100200300

Peers

Guan-Dong Shang
Comparison fields: 5 of 50
  • Plant Science 742
  • Molecular Biology 682
  • Endocrinology 29
  • Genetics 28
  • Ecology, Evolution, Behavior and Systematics 24
Replace Kenji Osabe with:
Kenji Osabe Japan
Jinbu Jia China
Guy Wachsman United States
Alexandre P. Marand United States
Nicholas C. Collins Australia
Zhengxiu Ye China
Germain Pauluzzi United States
Carolin Seyfferth Sweden
Gildas Bourdais United Kingdom
Guan-Dong Shang relative to Kenji Osabe Japan Kenji Osabe's profile →
Citations per field
00.5×2.7×
Kenji Osabe · 1×
Citations per year

Countries citing papers authored by Guan-Dong Shang

Since Specialization
Citations

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

Fields of papers citing papers by Guan-Dong Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guan-Dong Shang. 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 Guan-Dong Shang. The network helps show where Guan-Dong Shang may publish in the future.

Co-authorship network of co-authors of Guan-Dong Shang

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 11
2 17
3 66
4 4
5 26
6 35
7 27
8 9
9 33
10 1
11 120
12 5
13
A Single-Cell RNA Sequencing Profiles the Developmental Landscape of Arabidopsis Rootbreakdown →
320
14 42
15 129
16 65

About Guan-Dong Shang

Guan-Dong Shang is a scholar working on Plant Science, Molecular Biology and Endocrinology, having authored 16 papers that have together received 910 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (14 papers), Plant Reproductive Biology (6 papers) and Chromosomal and Genetic Variations (5 papers). The work is most often cited by research in Plant Science (742 citations), Molecular Biology (682 citations) and Endocrinology (29 citations). Guan-Dong Shang has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Jiawei Wang, Zhou-Geng Xu, Tian‐Qi Zhang, Fuxiang Wang, Lian‐Yu Wu, Xinyan Zhao, Jian Gao, Chuan‐Miao Zhou, Binbin Ye and Lijun Sun. 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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