Shengchang Gu

4.0k citations
3 papers · 734 indexed · 1 hit paper · h-index 3
Topics
Genomics and Phylogenetic Studies (2 papers)RNA modifications and cancer (1 paper)Machine Learning in Bioinformatics (1 paper)
Partner nations
ChinaDenmarkHong Kong

In The Last Decade

Shengchang Gu

3 papers receiving 729 citations

Hit Papers

SOAPdenovo-Trans: de novo transcriptome assembly with sho...20142026201820222014200400600

Peers

Shengchang Gu
Comparison fields: 5 of 88
  • Molecular Biology 471
  • Plant Science 175
  • Ecology 135
  • Genetics 126
  • Ecology, Evolution, Behavior and Systematics 108
Replace Jingbo Tang with:
Jingbo Tang China
Yinlong Xie China
Dengfeng Guan China
J. Cristobal Vera United States
Thomas Pfisterer Germany
S. Austin Hammond Canada
Sandra Smit Netherlands
Ralph Steinkamp Germany
Vanesa Vee United States
David E. Hufnagel United States
Shengchang Gu relative to Jingbo Tang China Jingbo Tang's profile →
Citations per field
00.5×1.5×
Jingbo Tang · 1×
Citations per year

Countries citing papers authored by Shengchang Gu

Since Specialization
Citations

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

Fields of papers citing papers by Shengchang Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengchang Gu

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

All Works

3 of 3 papers shown
#WorkIndexed citations
1
SOAPdenovo-Trans: de novo transcriptome assembly with short RNA-Seq readsbreakdown →
634
2 78
3 22

About Shengchang Gu

Shengchang Gu is a scholar working on Molecular Biology, Artificial Intelligence and Infectious Diseases, having authored 3 papers that have together received 734 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), RNA modifications and cancer (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Molecular Biology (471 citations), Horticulture (6 citations) and Ecology, Evolution, Behavior and Systematics (108 citations). Shengchang Gu has collaborated with scholars based in China, Denmark and Hong Kong. Frequent co-authors include Xun Xu, Yingrui Li, Jun Wang, Shanlin Liu, Gane Ka‐Shu Wong, Shengkang Li, Yinlong Xie, Xin Zhou, Tak‐Wah Lam and Jingbo Tang. Their work appears in journals such as Bioinformatics and Current Protocols in Bioinformatics.

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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