Dantong Wang

423 citations
10 papers · 54 · h-index 5

Impact in

    • Gene Regulatory Network Analysis
    • Microbial Metabolic Engineering and Bioproduction
    • Single-cell and spatial transcriptomics
    • Protein Structure and Dynamics
    • Epigenetics and DNA Methylation

Papers in

    • Gene Regulatory Network Analysis 3
    • Single-cell and spatial transcriptomics 2
    • CRISPR and Genetic Engineering 2
    • Epigenetics and DNA Methylation 1
    • Gene expression and cancer classification 1

Dantong Wang

9 papers receiving 53 citations

Peers

Dantong Wang
Comparison fields: 5 of 37
  • Modeling and Simulation 3
  • Molecular Biology 28
  • Genetics 4
  • Behavioral Neuroscience 1
  • Statistics, Probability and Uncertainty 2
Replace Henna Mattila with:
Henna Mattila Finland
Godelieve Meunier France
Carol Meeske United States
Lindsay Westlake United States
Lars Custers Netherlands
Paul Hale United States
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Christian Netzer Germany
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Citations per field
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Citations per year

Countries citing papers authored by Dantong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dantong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 202324
2 202111
3 20256
4 20235
5 20254
6 20241
7 20251
8 20251
9 20191
10 20250

About Dantong Wang

Dantong Wang is a scholar working on Molecular Biology, Artificial Intelligence, Numerical Analysis, Oncology and Hematology, having authored 10 papers that have together received 54 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (3 papers), Single-cell and spatial transcriptomics (2 papers), CRISPR and Genetic Engineering (2 papers), Acute Myeloid Leukemia Research (1 paper), Epigenetics and DNA Methylation (1 paper), Cancer Genomics and Diagnostics (1 paper), Gene expression and cancer classification (1 paper) and Mathematical Approximation and Integration (1 paper). The work is most often cited by research in Modeling and Simulation (3 citations), Molecular Biology (28 citations), Genetics (4 citations), Behavioral Neuroscience (1 citation) and Statistics, Probability and Uncertainty (2 citations). Dantong Wang has collaborated with scholars based in China, Germany and Botswana. Frequent co-authors include Paul Stapor, Jan Hasenauer, Leonard Schmiester, Maja Rothenberg‐Thurley, Melanie Schulz, Stephan Grein, Marcel Schilling, Christian Rausch, Yannik Schälte and Dilan Pathirana. Their work appears in journals such as Plant Biotechnology Journal, iScience, Cell Reports, BMC Biology and Cell Systems.

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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