Shuo Li

2.0k total citations · 1 hit paper
44 papers, 1.5k citations indexed

About

Shuo Li is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Shuo Li has authored 44 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Cell Biology. Recurrent topics in Shuo Li's work include Liver physiology and pathology (4 papers), Epigenetics and DNA Methylation (4 papers) and Adipose Tissue and Metabolism (4 papers). Shuo Li is often cited by papers focused on Liver physiology and pathology (4 papers), Epigenetics and DNA Methylation (4 papers) and Adipose Tissue and Metabolism (4 papers). Shuo Li collaborates with scholars based in China, United States and Sweden. Shuo Li's co-authors include Xianjun Yu, Huaxiang Xu, Liang Liu, Wenquan Wang, Wuhu Zhang, Shuaishuai Xu, Hao Li, Tianjiao Li, Qingyu Wu and Jennifer McDonough and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Shuo Li

42 papers receiving 1.5k citations

Hit Papers

The role of collagen in cancer: from bench to bedside 2019 2026 2021 2023 2019 100 200 300 400 500

Peers

Shuo Li
Comparison fields: 5 of 121
  • Molecular Biology 588
  • Oncology 325
  • Immunology 248
  • Cancer Research 206
  • Cell Biology 168
Replace Tianjiao Li with:
Tianjiao Li China
Claudia Korn Germany
James Monslow United States
Olivier Preynat‐Seauve Switzerland
Jianzhong Ai China
Jiacheng Huang China
Remco van Horssen Netherlands
Yongliang Liu China
Loı̈c Vincent France
Huiyun Xu China
Tianjiao Li China View profile →
Citations per field, relative to Shuo Li
Shuo Li · 1×
Citations per year, relative to Shuo Li
Shuo Li · 1×

Countries citing papers authored by Shuo Li

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuo Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shuo Li. A scholar is included among the top collaborators of Shuo Li 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 Shuo Li. Shuo Li 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 0
2 1
3 3
4 3
5 16
6 15
7 12
8 18
9 5
10 9
11 40
12 12
13 34
14
The role of collagen in cancer: from bench to bedside breakdown →
542
15 18
16 20
17 2
18 53
19 39
20 54

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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