Xiaoni Gan

1.7k citations
41 papers · 833 · h-index 18

Impact in

Papers in

    • Genomics and Phylogenetic Studies 14
    • Identification and Quantification in Food 9
    • Genetic diversity and population structure 12

Xiaoni Gan

41 papers receiving 820 citations

Peers

Xiaoni Gan
Comparison fields: 5 of 62
  • Aquatic Science 224
  • Nature and Landscape Conservation 212
  • Genetics 252
  • Ecology 242
  • Cancer Research 92
Replace Liandong Yang with:
Liandong Yang China
Artem Nedoluzhko Russia
Julia M. I. Barth Switzerland
Paul V. Debes Finland
Yanjun Shen China
Takashi Asahida Japan
Jérôme St‐Cyr Canada
Naoto Hanzawa Japan
Baocheng Guo China
Jong S. Leong Canada
Xiaoni Gan relative to Liandong Yang China Liandong Yang's profile →
Citations per field
00.5×1.5×
Liandong Yang · 1×
Citations per year

Countries citing papers authored by Xiaoni Gan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoni Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoni Gan, 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 Xiaoni Gan Line = papers co-authored together Xiaoni Gan 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 201672
2 201159
3 202259
4 201655
5 201250
6 201844
7 201142
8 201033
9 202030
10 201728
11 200728
12 201626
13 201024
14 201324
15 201121
16 200919
17 201318
18 202317
19 201717
20 201616

About Xiaoni Gan

Xiaoni Gan is a scholar working on Molecular Biology, Genetics, Nature and Landscape Conservation, Aquatic Science and Ecology, having authored 41 papers that have together received 833 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (14 papers), Genetic diversity and population structure (12 papers), Fish Biology and Ecology Studies (9 papers), Identification and Quantification in Food (9 papers), Fish Ecology and Management Studies (6 papers), Chromosomal and Genetic Variations (5 papers), Marine Biology and Ecology Research (4 papers) and Fish biology, ecology, and behavior (3 papers). The work is most often cited by research in Aquatic Science (224 citations), Nature and Landscape Conservation (212 citations), Genetics (252 citations), Ecology (242 citations) and Cancer Research (92 citations). Xiaoni Gan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shunping He, Xuzhen Wang, Yanjun Shen, Dengqiang Wang, Junbing Li, Zuogang Peng, Lihong Guan, Wei Chi, Richard L. Mayden and Chaobo Tong. Their work appears in journals such as PLoS ONE, Science China Life Sciences, Ecology and Evolution, Molecular Biology and Evolution and Science Bulletin.

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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