Aijun Pan

3.8k citations
35 papers · 2.9k · 1 hit paper · h-index 14

Impact in

Papers in

Aijun Pan

34 papers receiving 2.8k citations

Aijun Pan's Hit Papers

Effective treatment of severe COVID-19 patients with tocilizumab 2020 · 2.1k citations
2.1k0+2+4Years since publication5001k1.5k2k

Peers

Aijun Pan
Comparison fields: 5 of 111
  • Infectious Diseases 2k
  • Clinical Biochemistry 95
  • General Dentistry 3
  • Critical Care and Intensive Care Medicine 27
  • Oncology 106
Replace Sonia Sousa Arias with:
Sonia Sousa Arias United Kingdom
Roceld Rojo Australia
Benjamin Jean Gaborit France
Qiang Fang China
Camus Nimmo United Kingdom
Alexander Imhof Switzerland
José C. Garrido Spain
Emily R. Ko United States
Zhengyin Liu China
Julian T. Forton United Kingdom
Aijun Pan relative to Sonia Sousa Arias United Kingdom Sonia Sousa Arias's profile →
Citations per field
00.5×2×4×6×8.5×
Sonia Sousa Arias · 1×
Citations per year

Countries citing papers authored by Aijun Pan

Since Specialization
Citations

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

Fields of papers citing papers by Aijun Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aijun Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aijun Pan Line = papers co-authored together Aijun Pan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effective treatment of severe COVID-19 patients with tocilizumab
Hit paper breakdown →
20202107
2 2020123
3 2020117
4 202165
5 202064
6 202059
7 202049
8 202336
9 201430
10 201427
11 202227
12 201620
13 202014
14 202214
15 202313
16 202211
17 202310
18 202310
19 20248
20 20248

About Aijun Pan

Aijun Pan is a scholar working on Infectious Diseases, Clinical Biochemistry, Molecular Medicine, Epidemiology and Critical Care and Intensive Care Medicine, having authored 35 papers that have together received 2.9k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), Sepsis Diagnosis and Treatment (7 papers), Bacterial Identification and Susceptibility Testing (5 papers), Antibiotic Resistance in Bacteria (4 papers), Nosocomial Infections in ICU (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Hemodynamic Monitoring and Therapy (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Infectious Diseases (2k citations), Clinical Biochemistry (95 citations), General Dentistry (3 citations), Critical Care and Intensive Care Medicine (27 citations) and Oncology (106 citations). Aijun Pan has collaborated with scholars based in China and Canada. Frequent co-authors include Yun Yang, Binqing Fu, Yonggang Zhou, Mingfeng Han, Wei Sun, Xiaoling Xu, Dongsheng Wang, Tiantian Li, Xiaohu Zheng and Xiuyong Li. Their work appears in journals such as Critical Care, International Journal of Infectious Diseases, Frontiers in Microbiology, Scandinavian Journal of Infectious Diseases and Journal of Microbiology Immunology and Infection.

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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