Ding‐Kun Liu

850 citations
41 papers · 564 · h-index 14

Impact in

Papers in

Ding‐Kun Liu

34 papers receiving 556 citations

Peers

Ding‐Kun Liu
Comparison fields: 5 of 20
  • Ecology, Evolution, Behavior and Systematics 200
  • Plant Science 294
  • Molecular Biology 213
  • Genetics 27
  • Ecological Modeling 1
Replace Yezi Xiang with:
Yezi Xiang United States
Diego Zappacosta Argentina
Yun Chun Song China
Maricel Podio Argentina
Gui-Zhen Chen China
Lorena Siena Argentina
Diva Maria de Alencar Dusi Brazil
Alexander Kirbis Switzerland
Yanshu Qu China
Xiaohe Hu China
Ding‐Kun Liu relative to Yezi Xiang United States Yezi Xiang's profile →
Citations per field
00.5×1.5×1.9×
Yezi Xiang · 1×
Citations per year

Countries citing papers authored by Ding‐Kun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ding‐Kun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ding‐Kun Liu. 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 Ding‐Kun Liu. The network helps show where Ding‐Kun Liu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202283
2 202273
3 202362
4 202048
5 202334
6 202328
7 202225
8 202223
9 202121
10 202121
11 202321
12 202119
13 201915
14 202115
15 20229
16 20239
17 20227
18 20196
19 20235
20 20194

About Ding‐Kun Liu

Ding‐Kun Liu is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 41 papers that have together received 564 indexed citations. Recurring topics across this work include Plant Diversity and Evolution (24 papers), Chromosomal and Genetic Variations (12 papers), Plant Molecular Biology Research (6 papers), Plant and Fungal Species Descriptions (5 papers), Genomics and Phylogenetic Studies (4 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Plant biochemistry and biosynthesis (2 papers) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (200 citations), Plant Science (294 citations), Molecular Biology (213 citations), Genetics (27 citations) and Ecological Modeling (1 citation). Ding‐Kun Liu has collaborated with scholars based in China, Taiwan and Belgium. Frequent co-authors include Zhong‐Jian Liu, Diyang Zhang, Ming-He Li, Cuili Zhang, Siren Lan, Xuewei Zhao, Ming‐Zhong Huang, Sai Zhang, Liang Ma and Shipin Chen. Their work appears in journals such as Phytotaxa, Frontiers in Plant Science, Nature Communications, International Journal of Molecular Sciences and Molecular Phylogenetics and Evolution.

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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