Nan Liu

3.6k citations
47 papers · 2.7k · h-index 23

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
    • MicroRNA in disease regulation

Papers in

    • Epigenetics and DNA Methylation 8
    • RNA Research and Splicing 6
    • Cancer-related gene regulation 6
    • Mitochondrial Function and Pathology 4
    • Genetics, Aging, and Longevity in Model Organisms 7

Nan Liu

45 papers receiving 2.7k citations

Peers

Nan Liu
Comparison fields: 5 of 117
  • Aging 170
  • Cancer Research 460
  • Molecular Biology 2.2k
  • Geriatrics and Gerontology 33
  • Cellular and Molecular Neuroscience 165
Replace Joachim Altschmied with:
Joachim Altschmied Germany
William C. Comb United States
Pascual Sanz Spain
William C. Burhans United States
Shilai Bao China
Mansour Akbari Norway
Isabelle Petropoulos France
Kelly Suino-Powell United States
Alfred L. Fisher United States
Sergio Giannattasio Italy
Nan Liu relative to Joachim Altschmied Germany Joachim Altschmied's profile →
Citations per field
00.5×3.7×
Joachim Altschmied · 1×
Citations per year

Countries citing papers authored by Nan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Nan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011426
2 2012324
3 2019275
4 2012226
5 2006215
6 2015194
7 2018156
8 2018105
9 2020103
10 201593
11 201847
12 202245
13 201544
14 202244
15 201839
16 201338
17 201934
18 201633
19 202033
20 200730

About Nan Liu

Nan Liu is a scholar working on Molecular Biology, Aging, Genetics, Cancer Research and Geriatrics and Gerontology, having authored 47 papers that have together received 2.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), RNA Research and Splicing (6 papers), Cancer-related gene regulation (6 papers), MicroRNA in disease regulation (5 papers), Autophagy in Disease and Therapy (4 papers), Sirtuins and Resveratrol in Medicine (4 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Aging (170 citations), Cancer Research (460 citations), Molecular Biology (2.2k citations), Geriatrics and Gerontology (33 citations) and Cellular and Molecular Neuroscience (165 citations). Nan Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Bing Zhu, Nancy M. Bonini, Mo Xu, She Chen, Chang Huang, Zaijun Ma, Jason R. Kennerdell, Zheng‐Jiang Zhu, Yuping Cai and Randall N. Pittman. Their work appears in journals such as Nature Communications, Frontiers in Pharmacology, Journal of Proteome Research, Cell Reports and Journal of Biological Chemistry.

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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