Miao An

599 citations
24 papers · 386 · h-index 12

Impact in

Papers in

    • Genomics and Phylogenetic Studies 4
    • Renal and related cancers 2
    • Genetic diversity and population structure 6

Miao An

21 papers receiving 381 citations

Peers

Miao An
Comparison fields: 5 of 79
  • Health, Toxicology and Mutagenesis 75
  • Ecological Modeling 23
  • Pollution 38
  • Genetics 90
  • Reproductive Medicine 18
Replace Siqi Chen with:
Siqi Chen China
José Matos Portugal
Ruiling Liu China
Xinghu Qin China
Т. Б. Демидова Russia
Martina Höckner Austria
Li Na China
Mohammad Reza Kalbassi Iran
Liliya G. Nikolcheva Canada
Na‐Yeon Kim South Korea
Miao An relative to Siqi Chen China Siqi Chen's profile →
Citations per field
00.5×3.5×
Siqi Chen · 1×
Citations per year

Countries citing papers authored by Miao An

Since Specialization
Citations

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

Fields of papers citing papers by Miao An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202268
2 202250
3 201741
4 201830
5 202126
6 201726
7 200525
8 201622
9 202117
10 202113
11 202013
12 201511
13 201811
14 202011
15 20197
16 20235
17 20223
18 20163
19 20172
20 20221

About Miao An

Miao An is a scholar working on Molecular Biology, Genetics, Nature and Landscape Conservation, Ecology and Health, Toxicology and Mutagenesis, having authored 24 papers that have together received 386 indexed citations. Recurring topics across this work include Genetic diversity and population structure (6 papers), Genomics and Phylogenetic Studies (4 papers), Mercury impact and mitigation studies (3 papers), Species Distribution and Climate Change (3 papers), Fish Ecology and Management Studies (3 papers), Renal and related cancers (2 papers), Fish Biology and Ecology Studies (2 papers) and Sperm and Testicular Function (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (75 citations), Ecological Modeling (23 citations), Pollution (38 citations), Genetics (90 citations) and Reproductive Medicine (18 citations). Miao An has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Sisi Zheng, Min Deng, Xiao‐Long Jiang, Yi‐Gang Song, Yanxiao Cao, Wenjie Liu, Honghu Li, Jingdong Zhang, Xiyan Peng and Zhihao Su. Their work appears in journals such as Journal of Assisted Reproduction and Genetics, BMC Biology, Journal of the Science of Food and Agriculture, Heredity and Frontiers in Plant Science.

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.

Explore authors with similar magnitude of impact