Xiuyong Li

4.4k total citations · 2 hit papers
18 papers, 2.9k citations indexed

About

Xiuyong Li is a scholar working on Infectious Diseases, Neurology and Organic Chemistry. According to data from OpenAlex, Xiuyong Li has authored 18 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 4 papers in Neurology and 3 papers in Organic Chemistry. Recurrent topics in Xiuyong Li's work include COVID-19 Clinical Research Studies (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Long-Term Effects of COVID-19 (4 papers). Xiuyong Li is often cited by papers focused on COVID-19 Clinical Research Studies (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Long-Term Effects of COVID-19 (4 papers). Xiuyong Li collaborates with scholars based in China, United States and Germany. Xiuyong Li's co-authors include Mingfeng Han, Dongsheng Wang, Aijun Pan, Xiao‐Hua Zhang, Haiming Wei, Xiaohu Zheng, Yonggang Zhou, Yun Yang, Tiantian Li and Binqing Fu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Analytica Chimica Acta and Medicine.

In The Last Decade

Xiuyong Li

18 papers receiving 2.8k citations

Hit Papers

Effective treatment of severe COVID-19 patients with toci... 2020 2026 2022 2024 2020 2020 500 1000 1.5k

Peers

Xiuyong Li
Comparison fields: 5 of 137
  • Infectious Diseases 2.3k
  • Neurology 1.3k
  • Molecular Biology 393
  • Oncology 315
  • Epidemiology 214
Tiantian Li China
Qinyong Hu China
Yingzhen Du China
Xiaoxin Wu China
Zhengyin Liu China
Qiurong Ruan China
Tiantian Li China View profile →
Citations per field, relative to Xiuyong Li
Xiuyong Li · 1×
Citations per year, relative to Xiuyong Li
Xiuyong Li · 1×

Countries citing papers authored by Xiuyong Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiuyong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiuyong Li

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 1
2 3
3 31
4
Effective treatment of severe COVID-19 patients with tocilizumab breakdown →
1874
5 20
6 27
7 15
8 14
9 44
10 5
11 1
12
Diagnostic utility of clinical laboratory data determinations for patients with the severe COVID‐19 breakdown →
742
13 3
14 19
15 39
16 6
17 13
18 4

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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