Yinglu Li

1.5k citations
40 papers · 858 · h-index 15

Impact in

Papers in

    • Epigenetics and DNA Methylation 6
    • Genomics and Chromatin Dynamics 5
    • DNA Repair Mechanisms 5
    • Histone Deacetylase Inhibitors Research 4
    • Natural Language Processing Techniques 10
    • Speech Recognition and Synthesis 7
    • Topic Modeling 7

Yinglu Li

36 papers receiving 842 citations

Peers

Yinglu Li
Comparison fields: 5 of 94
  • Geriatrics and Gerontology 170
  • Physiology 43
  • Aging 15
  • Molecular Biology 582
  • Cancer Research 88
Replace Joel Andrews with:
Joel Andrews United States
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Diona L. Damian Australia
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Xiaojun Meng China
Michael Elser Switzerland
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Yinglu Li relative to Joel Andrews United States Joel Andrews's profile →
Citations per field
00.5×4.0×
Joel Andrews · 1×
Citations per year

Countries citing papers authored by Yinglu Li

Since Specialization
Citations

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

Fields of papers citing papers by Yinglu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021145
2 2019104
3 201864
4 201864
5 202063
6 201762
7 201757
8 201857
9 202042
10 202328
11 201419
12 202018
13 202316
14 202216
15 201915
16 202313
17 202312
18 20238
19 20228
20 20228

About Yinglu Li

Yinglu Li is a scholar working on Molecular Biology, Artificial Intelligence, Biomedical Engineering, Materials Chemistry and Geriatrics and Gerontology, having authored 40 papers that have together received 858 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Speech Recognition and Synthesis (7 papers), Topic Modeling (7 papers), Epigenetics and DNA Methylation (6 papers), Genomics and Chromatin Dynamics (5 papers), DNA Repair Mechanisms (5 papers), Sirtuins and Resveratrol in Medicine (4 papers) and Histone Deacetylase Inhibitors Research (4 papers). The work is most often cited by research in Geriatrics and Gerontology (170 citations), Physiology (43 citations), Aging (15 citations), Molecular Biology (582 citations) and Cancer Research (88 citations). Yinglu Li has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Chao Lü, Xiao Chen, Wei‐Guo Zhu, Haiying Wang, Zhiming Li, Ming Tang, Xiaopeng Lu, Yongcan Chen, Ziyang Cao and Jiadong Wang. Their work appears in journals such as Biosensors, Nucleic Acids Research, Proceedings of the National Academy of Sciences, Cell Research and Nature Communications.

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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