Yuning Song

3.2k citations
98 papers · 2.5k · h-index 27

Impact in

Papers in

    • CRISPR and Genetic Engineering 22
    • RNA regulation and disease 9
    • Retinal Development and Disorders 9
    • RNA and protein synthesis mechanisms 7

Yuning Song

94 papers receiving 2.5k citations

Peers

Yuning Song
Comparison fields: 5 of 122
  • Virology 163
  • Aging 49
  • Business and International Management 54
  • Organic Chemistry 603
  • Toxicology 66
Replace Berta Strulovici with:
Berta Strulovici United States
Gianluca Sbardella Italy
Dante Rotili Italy
Asami Makino Japan
Pavel Majer Czechia
Peter Hodder United States
Jean‐Guy Delcros France
John W. Trauger United States
Yuhong Du United States
Daniel Globisch Sweden
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Citations per field
00.5×10×13.5×
Berta Strulovici · 1×
Citations per year

Countries citing papers authored by Yuning Song

Since Specialization
Citations

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

Fields of papers citing papers by Yuning Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014204
2 2014201
3 2019138
4 2018122
5 202190
6 201688
7 200984
8 201660
9 201457
10 202052
11 201348
12 201348
13 201447
14 201846
15 202043
16 201941
17 201340
18 202037
19 201835
20 201933

About Yuning Song

Yuning Song is a scholar working on Molecular Biology, Genetics, Organic Chemistry, Pharmacology and Ophthalmology, having authored 98 papers that have together received 2.5k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (22 papers), RNA regulation and disease (9 papers), Retinal Development and Disorders (9 papers), Click Chemistry and Applications (8 papers), Computational Drug Discovery Methods (7 papers), Glaucoma and retinal disorders (7 papers), RNA and protein synthesis mechanisms (7 papers) and HIV/AIDS drug development and treatment (6 papers). The work is most often cited by research in Virology (163 citations), Aging (49 citations), Business and International Management (54 citations), Organic Chemistry (603 citations) and Toxicology (66 citations). Yuning Song has collaborated with scholars based in China, India and Canada. Frequent co-authors include Xinyong Liu, Peng Zhan, Zhanjun Li, Liangxue Lai, Peng Zhan, Mao Chen, Qingzhu Zhang, Zhiquan Liu, Jichao Deng and Wen‐Ming Chen. Their work appears in journals such as Investigative Ophthalmology & Visual Science, European Journal of Medicinal Chemistry, Visual Neuroscience, Current Pharmaceutical Design and European Journal of Pharmacology.

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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