Dong‐Dong Wu

7.2k citations
132 papers · 2.9k indexed · 1 hit paper · h-index 29
Topics
Genomics and Phylogenetic Studies (28 papers)Genetic and phenotypic traits in livestock (19 papers)Genetic Mapping and Diversity in Plants and Animals (15 papers)
Partner nations
ChinaCanadaUnited States

In The Last Decade

Dong‐Dong Wu

124 papers receiving 2.9k citations

Hit Papers

NextDenovo: an efficient error correction and accurate as...202420262025202450100150

Peers

Dong‐Dong Wu
Comparison fields: 5 of 150
  • Molecular Biology 1.5k
  • Genetics 1.1k
  • Cancer Research 618
  • Plant Science 361
  • Ecology 288
Replace Christian Bendixen with:
Christian Bendixen Denmark
Sigrid A. Lehnert Australia
Laércio R. Porto-Neto Australia
Eyal Seroussi Israel
S. Dunner Spain
James Kijas Australia
Wesley C. Warren United States
John C. McEwan New Zealand
Dong‐Dong Wu relative to Christian Bendixen Denmark Christian Bendixen's profile →
Citations per field
00.5×10×
Christian Bendixen · 1×
Citations per year

Countries citing papers authored by Dong‐Dong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dong‐Dong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong‐Dong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐Dong Wu. A scholar is included among the top collaborators of Dong‐Dong Wu 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 Dong‐Dong Wu. Dong‐Dong Wu 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
#WorkIndexed citations
1 1
2 1
3 0
4 3
5 2
6 1
7 1
8
NextDenovo: an efficient error correction and accurate assembly tool for noisy long readsbreakdown →
154
9 6
10 3
11 4
12 60
13 81
14 26
15 76
16 14
17 52
18 4
19 24
20 20

About Dong‐Dong Wu

Dong‐Dong Wu is a scholar working on Genetics, Equine and Cancer Research, having authored 132 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (28 papers), Genetic and phenotypic traits in livestock (19 papers) and Genetic Mapping and Diversity in Plants and Animals (15 papers). The work is most often cited by research in Cancer Research (618 citations), Genetics (1.1k citations) and Molecular Biology (1.5k citations). Dong‐Dong Wu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Ya‐Ping Zhang, David M. Irwin, Mingshan Wang, Sheng Wang, Yàn Li, Guodong Wang, Armand Keating, Shi‐Fang Wu, Adam R. Boyko and Yan Li. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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