Baoxing Fan

517 citations
11 papers · 371 indexed · h-index 7
Topics
SARS-CoV-2 and COVID-19 Research (7 papers)COVID-19 Clinical Research Studies (4 papers)Viral gastroenteritis research and epidemiology (3 papers)
Partner nations
ChinaPhilippinesCzechia

In The Last Decade

Baoxing Fan

11 papers receiving 365 citations

Peers

Baoxing Fan
Comparison fields: 5 of 61
  • Infectious Diseases 243
  • Neurology 122
  • Pulmonary and Respiratory Medicine 77
  • Epidemiology 63
  • Molecular Biology 51
Replace Julia Schädler with:
Julia Schädler Germany
Timmy Wing‐Kuk Au China
Kai Qin China
C.S. Lau China
Andrew Berglund United States
Yannick Vande Weygaerde Belgium
Shu-qing Zhong China
Carl A. Pierce United States
Lilian Zeng China
Pauline Yeung China
Baoxing Fan relative to Julia Schädler Germany Julia Schädler's profile →
Citations per field
00.5×1.5×2.4×
Julia Schädler · 1×
Citations per year

Countries citing papers authored by Baoxing Fan

Since Specialization
Citations

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

Fields of papers citing papers by Baoxing Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoxing Fan

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 7
2 53
3 93
4 86
5
[Study on the dynamics of IgG antibody in 311 patients with severe acute respiratory syndrome].
2
6 10
7 61
8
[Dynamic changes of immunoglobulin G in convalescents who have suffered from severe acute respiratory syndrome patients].
1
9
[Prognostic analysis of lung function and chest X-ray changes of 258 patients with severe acute respiratory syndrome in rehabilitation after discharge].
3
10 51
11
[The quantitative detection of anti-coronavirus antibody titer in medical personnel closely contacted with severe acute respiratory syndrome patients].
4

About Baoxing Fan

Baoxing Fan is a scholar working on Infectious Diseases, Modeling and Simulation and Neurology, having authored 11 papers that have together received 371 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 Clinical Research Studies (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Infectious Diseases (243 citations), Neurology (122 citations) and Critical Care and Intensive Care Medicine (35 citations). Baoxing Fan has collaborated with scholars based in China, Philippines and Czechia. Frequent co-authors include Weijun Chen, You-ning Liu, Yueyong Xiao, Qing Tian, Hong Zhao, Lixin Xie, Liangan Chen, Lixin Xie, Bo He and Jian Wang. Their work appears in journals such as CHEST Journal, BMC Microbiology and Journal of Medical Microbiology.

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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