Shilong You

921 total citations · 2 hit papers
23 papers, 576 citations indexed

About

Shilong You is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Shilong You has authored 23 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Shilong You's work include Ubiquitin and proteasome pathways (10 papers), Mitochondrial Function and Pathology (5 papers) and Sirtuins and Resveratrol in Medicine (3 papers). Shilong You is often cited by papers focused on Ubiquitin and proteasome pathways (10 papers), Mitochondrial Function and Pathology (5 papers) and Sirtuins and Resveratrol in Medicine (3 papers). Shilong You collaborates with scholars based in China, Saint Kitts and Nevis and United States. Shilong You's co-authors include Naijin Zhang, Yingxian Sun, Boquan Wu, Saien Lu, Liu Cao, Shaojun Wu, Jiaqi Xu, Ying Zhang, Hao Qian and Ying Zhang and has published in prestigious journals such as Circulation Research, Life Sciences and Cell Research.

In The Last Decade

Shilong You

23 papers receiving 571 citations

Hit Papers

α-myosin heavy chain lactylation maintains sarcomeric str... 2023 2026 2024 2025 2023 2025 50 100 150

Peers

Shilong You
Comparison fields: 5 of 79
  • Molecular Biology 374
  • Cancer Research 115
  • Oncology 95
  • Epidemiology 82
  • Immunology 71
Replace Boquan Wu with:
Boquan Wu China
Saien Lu China
Fujun Shi China
Xinyang Hu China
Douglas J. Chapski United States
Weili Xue China
Ryoichi Asaka Japan
Yu Geng China
Qing-Jun Zhang United States
Marina Koroleva United States
Boquan Wu China View profile →
Citations per field, relative to Shilong You
Shilong You · 1×
Citations per year, relative to Shilong You
Shilong You · 1×

Countries citing papers authored by Shilong You

Since Specialization
Citations

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

Fields of papers citing papers by Shilong You

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shilong You

This figure shows the co-authorship network connecting the top 25 collaborators of Shilong You. A scholar is included among the top collaborators of Shilong You 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 Shilong You. Shilong You is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1
Machine learning and multi-omics integration: advancing cardiovascular translational research and clinical practice breakdown →
25
2 4
3 28
4
α-myosin heavy chain lactylation maintains sarcomeric structure and function and alleviates the development of heart failure breakdown →
150
5 16
6 3
7 26
8 10
9 7
10 39
11 5
12 5
13 6
14 18
15 12
16 17
17 13
18 45
19 14
20 58

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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2026