Dan D. Wu

745 citations
11 papers · 554 · 1 hit paper · h-index 7

Impact in

Papers in

    • Plant tissue culture and regeneration 2
    • Plant Reproductive Biology 1
    • Pluripotent Stem Cells Research 1
    • Enzyme Catalysis and Immobilization 1
    • Microbial Metabolic Engineering and Bioproduction 1

Dan D. Wu

11 papers receiving 552 citations

Dan D. Wu's Hit Papers

A developmental landscape of 3D-cultured human pre-gastrulation embryos 2019 · 321 citations
3210+2+4Years since publication100200300

Peers

Dan D. Wu
Comparison fields: 5 of 103
  • Molecular Biology 322
  • Obstetrics and Gynecology 26
  • Public Health, Environmental and Occupational Health 61
  • Nuclear Energy and Engineering 1
  • Immunology 41
Replace Zhigang Zhao with:
Zhigang Zhao China
Yujie Fan China
Xingfei Chen China
Johann Urschitz United States
Paweł Olszewski Poland
Kento Miura Japan
Grace H. Wei United States
Zhiyong Lu China
Yuzhen Ma China
Dan D. Wu relative to Zhigang Zhao China Zhigang Zhao's profile →
Citations per field
00.5×1.5×2.0×
Zhigang Zhao · 1×
Citations per year

Countries citing papers authored by Dan D. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dan D. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan D. Wu. 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 Dan D. Wu. The network helps show where Dan D. Wu may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
A developmental landscape of 3D-cultured human pre-gastrulation embryos
Hit paper breakdown →
2019321
2 2020157
3 202221
4 202213
5 202311
6 20189
7 20227
8 20247
9 20224
10 20193
11 20201

About Dan D. Wu

Dan D. Wu is a scholar working on Rheumatology, Molecular Biology, Plant Science, Pathology and Forensic Medicine and Food Science, having authored 11 papers that have together received 554 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (2 papers), Plant nutrient uptake and metabolism (2 papers), Plant Reproductive Biology (1 paper), Pluripotent Stem Cells Research (1 paper), Enzyme Catalysis and Immobilization (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Plant Molecular Biology Research (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Molecular Biology (322 citations), Obstetrics and Gynecology (26 citations), Public Health, Environmental and Occupational Health (61 citations), Nuclear Energy and Engineering (1 citation) and Immunology (41 citations). Dan D. Wu has collaborated with scholars based in China and Germany. Frequent co-authors include Zongyong Ai, Yu Yin, Lifeng Xiang, Yonggang Li, Jingjing He, Xi Dai, Shuchao Ren, Zhigang Zhao, Junqiang Guo and Yun Xiu Bai. Their work appears in journals such as LWT, Frontiers in Genetics, Endocrine Connections, Nature 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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