Andi Liu

788 citations
33 papers · 479 · 1 hit paper · h-index 12

Impact in

Papers in

Andi Liu

28 papers receiving 476 citations

Andi Liu's Hit Papers

Genetic manipulation of Patescibacteria provides mechanistic insights into microbial dark matter and the epibiotic lifestyle 2023 · 66 citations
660+1+2Years since publication204060

Peers

Andi Liu
Comparison fields: 5 of 103
  • Pharmacology 70
  • Condensed Matter Physics 48
  • Biological Psychiatry 9
  • Molecular Biology 192
  • Pollution 31
Replace Toru Mizuki with:
Toru Mizuki Japan
Koji Ito Japan
Guan‐Ru Chen Taiwan
Xiaoyan Hu China
Yongqiang Zhu China
Ruihong Chen China
Josef Ehgartner Austria
Junlong Wang China
Ulrich Sydlik Germany
Naoyuki Tajima Japan
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Citations per field
00.5×6.9×
Toru Mizuki · 1×
Citations per year

Countries citing papers authored by Andi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Andi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202271
2 201867
3
Genetic manipulation of Patescibacteria provides mechanistic insights into microbial dark matter and the epibiotic lifestyle
Hit paper breakdown →
202366
4 201934
5 202128
6 202128
7 201925
8 202023
9 201720
10 202414
11 202313
12 202412
13 202210
14 202310
15 20229
16 20248
17 20247
18 20217
19 20246
20 20236

About Andi Liu

Andi Liu is a scholar working on Molecular Biology, Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Genetics and Pollution, having authored 33 papers that have together received 479 indexed citations. Recurring topics across this work include Advanced Condensed Matter Physics (8 papers), Magnetic and transport properties of perovskites and related materials (8 papers), Bioinformatics and Genomic Networks (4 papers), Single-cell and spatial transcriptomics (3 papers), Physics of Superconductivity and Magnetism (3 papers), Multiferroics and related materials (3 papers), Genetic Associations and Epidemiology (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Pharmacology (70 citations), Condensed Matter Physics (48 citations), Biological Psychiatry (9 citations), Molecular Biology (192 citations) and Pollution (31 citations). Andi Liu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Nilkamal Mahanta, Douglas A. Mitchell, Shi‐Hui Dong, Satish K. Nair, Zhongming Zhao, Yulin Dai, Astrid M. Manuel, Peilin Jia, Ruifeng Hu and XinQi Dong. Their work appears in journals such as Physical review. B., Inorganic Chemistry, Nucleic Acids Research, Environmental Science and Pollution Research and Journal of Alzheimer s Disease.

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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