Sha Li

8.7k total citations · 2 hit papers
249 papers, 6.2k citations indexed

About

Sha Li is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Sha Li has authored 249 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Surgery, 48 papers in Endocrinology, Diabetes and Metabolism and 39 papers in Molecular Biology. Recurrent topics in Sha Li's work include Lipoproteins and Cardiovascular Health (61 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (31 papers) and Cancer, Lipids, and Metabolism (19 papers). Sha Li is often cited by papers focused on Lipoproteins and Cardiovascular Health (61 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (31 papers) and Cancer, Lipids, and Metabolism (19 papers). Sha Li collaborates with scholars based in China, United States and Hong Kong. Sha Li's co-authors include Hua‐Bin Li, Anna Li, Yujie Zhang, Xiang‐Rong Xu, Cheng‐Gang Zhu, Yue Zhou, Dong-ping Xu, Ren‐You Gan, Jian‐Jun Li and Rui‐Xia Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Sha Li

239 papers receiving 6.1k citations

Hit Papers

Antioxidant Phytochemicals for the Prevention and Treatme... 2014 2026 2018 2022 2015 2014 250 500 750

Peers

Sha Li
Comparison fields: 5 of 167
  • Molecular Biology 1.5k
  • Surgery 1.5k
  • Endocrinology, Diabetes and Metabolism 982
  • Epidemiology 719
  • Biochemistry 717
Replace Gianna Ferretti with:
Gianna Ferretti Italy
Ali H. Eid Qatar
Jogchum Plat Netherlands
Ning Xia Germany
Valérie B. Schini‐Kerth France
Maria Luisa Balestrieri Italy
Jesús Osada Spain
Pamela Maffioli Italy
Fiorella Biasi Italy
Angela Pirillo Italy
Gianna Ferretti Italy View profile →
Citations per field, relative to Sha Li
Sha Li · 1×
Citations per year, relative to Sha Li
Sha Li · 1×

Countries citing papers authored by Sha Li

Since Specialization
Citations

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

Fields of papers citing papers by Sha Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sha Li

This figure shows the co-authorship network connecting the top 25 collaborators of Sha Li. A scholar is included among the top collaborators of Sha 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 Sha Li. Sha 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 1
4 1
5 6
6 9
7 4
8 3
9 12
10
Gender-Disparities in the in-Hospital Clinical Outcome Among Patients with Chronic Kidney Disease Undergoing Percutaneous Coronary Intervention
1
11 28
12 32
13 58
14 4
15 23
16 12
17 37
18 1
19 9
20 73

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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