Sui Huang

27.7k total citations · 6 hit papers
158 papers, 18.7k citations indexed

About

Sui Huang is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Sui Huang has authored 158 papers receiving a total of 18.7k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Molecular Biology, 27 papers in Cancer Research and 23 papers in Cell Biology. Recurrent topics in Sui Huang's work include Gene Regulatory Network Analysis (56 papers), Bioinformatics and Genomic Networks (32 papers) and Single-cell and spatial transcriptomics (27 papers). Sui Huang is often cited by papers focused on Gene Regulatory Network Analysis (56 papers), Bioinformatics and Genomic Networks (32 papers) and Single-cell and spatial transcriptomics (27 papers). Sui Huang collaborates with scholars based in United States, Canada and China. Sui Huang's co-authors include Donald E. Ingber, Christopher S. Chen, George M. Whitesides, Milan Mrksich, Hannah Chang, Amy Brock, Joseph Zhou, Gabriel S. Eichler, Stuart Kauffman and Mauricio Barahona and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Sui Huang

154 papers receiving 18.2k citations

Hit Papers

Geometric Control of Cell Life and Death 1997 2026 2006 2016 1997 2008 1999 1998 2005 1000 2.0k 3.0k

Peers

Sui Huang
Comparison fields: 5 of 203
  • Molecular Biology 9.0k
  • Biomedical Engineering 4.5k
  • Cell Biology 4.4k
  • Oncology 2.1k
  • Cancer Research 1.8k
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Citations per field, relative to Sui Huang
Sui Huang · 1×
Citations per year, relative to Sui Huang
Sui Huang · 1×

Countries citing papers authored by Sui Huang

Since Specialization
Citations

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

Fields of papers citing papers by Sui Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sui Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Sui Huang. A scholar is included among the top collaborators of Sui Huang 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 Sui Huang. Sui Huang 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 12
3 30
4 8
5 29
6
Adversarial Policy Learning in Two-player Competitive Games
5
7 13
8 54
9 61
10
Explaining Deep Learning Models -- A Bayesian Non-parametric Approach
6
11 33
12 10
13 205
14 11
15 11
16 39
17 118
18
Vacuum-Assisted Closure: Microdeformations of Wounds and Cell Proliferation breakdown →
509
19 23
20
Aicardi syndrome--a case report.
0

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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