Ke‐Wang Xu

628 citations
39 papers · 351 · 1 hit paper · h-index 11

Impact in

Papers in

Ke‐Wang Xu

36 papers receiving 348 citations

Ke‐Wang Xu's Hit Papers

PMAT: an efficient plant mitogenome assembly toolkit using low-coverage HiFi sequencing data 2024 · 76 citations
760+1Years since publication255075

Peers

Ke‐Wang Xu
Comparison fields: 5 of 42
  • Ecology, Evolution, Behavior and Systematics 168
  • Molecular Biology 195
  • Plant Science 89
  • Horticulture 2
  • Cell Biology 27
Replace Boni C. Cruz with:
Boni C. Cruz United States
Zhi‐Qiong Mo China
Marco F. Duretto Australia
Carolina Granados Mendoza Mexico
Guoqian Hao China
Josphat K. Saina China
Jun‐Bo Yang China
Aurélie Grall United Kingdom
Verônica A. Thode Brazil
Furong Lin China
Ke‐Wang Xu relative to Boni C. Cruz United States Boni C. Cruz's profile →
Citations per field
00.5×10.7×
Boni C. Cruz · 1×
Citations per year

Countries citing papers authored by Ke‐Wang Xu

Since Specialization
Citations

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

Fields of papers citing papers by Ke‐Wang Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PMAT: an efficient plant mitogenome assembly toolkit using low-coverage HiFi sequencing data
Hit paper breakdown →
202476
2 202142
3 201930
4 202229
5 202326
6 202117
7 201816
8 202114
9 202212
10 201811
11 201710
12 20198
13 20227
14 20197
15 20246
16 20184
17 20184
18 20183
19 20203
20 20252

About Ke‐Wang Xu

Ke‐Wang Xu is a scholar working on Ecology, Evolution, Behavior and Systematics, Molecular Biology, Plant Science, Nature and Landscape Conservation and Cell Biology, having authored 39 papers that have together received 351 indexed citations. Recurring topics across this work include Plant Diversity and Evolution (22 papers), Fern and Epiphyte Biology (20 papers), Plant and Fungal Species Descriptions (17 papers), Genomics and Phylogenetic Studies (6 papers), Natural product bioactivities and synthesis (5 papers), Ecology and Vegetation Dynamics Studies (5 papers), Phytochemistry and Biological Activities (4 papers) and Plant Taxonomy and Phylogenetics (3 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (168 citations), Molecular Biology (195 citations), Plant Science (89 citations), Horticulture (2 citations) and Cell Biology (27 citations). Ke‐Wang Xu has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Wenbo Liao, Qiang Fan, Changwei Bi, Li‐Bing Zhang, Shiou Yih Lee, Sufang Chen, Yanshu Qu, Tongming Yin, Li‐an Xu and Zhiqiang Wu. Their work appears in journals such as Phytotaxa, Molecular Phylogenetics and Evolution, Frontiers in Plant Science, Forests and Plant Diversity.

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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