Shengbao Suo

4.4k citations
44 papers · 2.3k indexed · 2 hit papers · h-index 22
    • Machine Learning in Bioinformatics 15
    • Single-cell and spatial transcriptomics 9
    • Genomics and Phylogenetic Studies 7
    • Protein Structure and Dynamics 5
    • Pluripotent Stem Cells Research 5
    • Congenital heart defects research 4
    • vaccines and immunoinformatics approaches 4
    • CRISPR and Genetic Engineering 4
  • Biophysics top 2%
  • Immunology top 10%
  • Oncology top 10%

Shengbao Suo

42 papers receiving 2.3k citations

Hit Papers

Integrated spatial genomics reveals global architecture o...2492020202620222024100200300

Peers

Shengbao Suo
Comparison fields: 5 of 117
  • Molecular Biology 1.8k
  • Biophysics 118
  • Immunology 372
  • Oncology 405
  • Cancer Research 197
Replace Andreas‐David Brunner with:
Andreas‐David Brunner Germany
Alan Sabirsh Sweden
Thomas Eisenhaure United States
Robin Ketteler United Kingdom
Tobias Schmidt Germany
Nikolaus Fortelny Austria
Eric Batchelor United States
Ignacio Rubio Germany
Sven Eyckerman Belgium
Petr V. Nazarov Luxembourg
Shengbao Suo relative to Andreas‐David Brunner Germany Andreas‐David Brunner's profile →
Citations per field
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Andreas‐David Brunner · 1×
Citations per year

Countries citing papers authored by Shengbao Suo

Since Specialization
Citations

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

Fields of papers citing papers by Shengbao Suo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Shengbao Suo, 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 Shengbao Suo Line = papers co-authored together Shengbao Suo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
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3 20250
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7 202311
8 202312
9 202134
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11 20212
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Integrated spatial genomics reveals global architecture of single nucleibreakdown →
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13 202011
14 201725
15 2016166
16 201425
17 201284
18 201267
19 201273
20 201119

About Shengbao Suo

Shengbao Suo is a scholar working on Biophysics, Aging and Molecular Biology, having authored 44 papers that have together received 2.3k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (15 papers), Single-cell and spatial transcriptomics (9 papers), Genomics and Phylogenetic Studies (7 papers), Protein Structure and Dynamics (5 papers), Pluripotent Stem Cells Research (5 papers), Congenital heart defects research (4 papers), vaccines and immunoinformatics approaches (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Biophysics (118 citations) and Immunology (372 citations). Shengbao Suo has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shaoping Shi, Jian‐Ding Qiu, Ru‐Ping Liang, Shuyun Huang, Jing‐Dong J. Han, Guo‐Cheng Yuan, Xing‐Yu Sun, Naihe Jing, Guangdun Peng and Patrick Tam. Their work appears in journals such as Nature, Cell and Nucleic Acids Research.

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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