Shenliang Yu

928 citations
10 papers · 634 indexed · 1 hit paper · h-index 9
Topics
Autophagy in Disease and Therapy (6 papers)RNA Interference and Gene Delivery (3 papers)Genetic Neurodegenerative Diseases (3 papers)
Partner nations
United StatesChinaNorway

In The Last Decade

Shenliang Yu

10 papers receiving 630 citations

Hit Papers

ATG2 transports lipids to promote autophagosome biogenesis20192026202120232019100200300

Peers

Shenliang Yu
Comparison fields: 5 of 64
  • Epidemiology 412
  • Molecular Biology 294
  • Cell Biology 277
  • Physiology 88
  • Physiology 77
Replace Eri Hirata with:
Eri Hirata Japan
Jemma L. Webber United States
Kata Varga Hungary
Roswitha Krick Germany
Clinton R. Bartholomew United States
Manuéla Kárpáti Hungary
Weina Shang China
Javier Calvo‐Garrido Sweden
Johnathan J. Nau United States
Karlina J. Kauffman United States
Shenliang Yu relative to Eri Hirata Japan Eri Hirata's profile →
Citations per field
00.5×2.7×
Eri Hirata · 1×
Citations per year

Countries citing papers authored by Shenliang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Shenliang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenliang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Shenliang Yu. A scholar is included among the top collaborators of Shenliang Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shenliang Yu. Shenliang Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 62
2 38
3 1
4 9
5
ATG2 transports lipids to promote autophagosome biogenesisbreakdown →
371
6 72
7 45
8 11
9 15
10 10

About Shenliang Yu

Shenliang Yu is a scholar working on Cell Biology, Epidemiology and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 634 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (6 papers), RNA Interference and Gene Delivery (3 papers) and Genetic Neurodegenerative Diseases (3 papers). The work is most often cited by research in Physiology (88 citations), Cell Biology (277 citations) and Epidemiology (412 citations). Shenliang Yu has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Thomas J. Melia, Karin M. Reinisch, Thomas Walz, Nikit Kumar, Rajendra Boggavarapu, Joshua A. Lees, Shanta Nag, Jiaxin Jin, Karlina J. Kauffman and Nathan Nguyen. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and The FASEB Journal.

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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