Shicheng Gao

2.1k citations
26 papers · 1.3k indexed · 1 hit paper · h-index 12
Topics
COVID-19 Clinical Research Studies (10 papers)Hepatitis C virus research (8 papers)Long-Term Effects of COVID-19 (8 papers)
Journals
SHILAP Revista de lepidopterologíaClinical Infectious DiseasesScientific Reports
Partner nations
ChinaSweden

In The Last Decade

Shicheng Gao

26 papers receiving 1.3k citations

Hit Papers

Clinical Characteristics of Refractory Coronavirus Diseas...20202026202220242020200400600

Peers

Shicheng Gao
Comparison fields: 5 of 105
  • Infectious Diseases 964
  • Neurology 535
  • Epidemiology 264
  • Oncology 260
  • Clinical Psychology 116
Replace Qingxian Cai with:
Qingxian Cai China
Reena Shah Kenya
Ke Liang China
Pingzheng Mo China
Yinlian Wu China
Huaying Wang China
Jiaofeng Huang China
Mi Mu China
Shicheng Gao relative to Qingxian Cai China Qingxian Cai's profile →
Citations per field
00.5×1.5×
Qingxian Cai · 1×
Citations per year

Countries citing papers authored by Shicheng Gao

Since Specialization
Citations

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

Fields of papers citing papers by Shicheng Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shicheng Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Shicheng Gao. A scholar is included among the top collaborators of Shicheng Gao 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 Shicheng Gao. Shicheng Gao 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
#WorkIndexed citations
1 2
2 1
3 3
4 5
5 71
6 14
7 12
8 6
9
Clinical Characteristics of Refractory Coronavirus Disease 2019 in Wuhan, Chinabreakdown →
653
10 26
11 15
12 25
13 1
14 18
15 6
16 1
17 44
18 14
19 1
20 35

About Shicheng Gao

Shicheng Gao is a scholar working on Hepatology, Infectious Diseases and Neurology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (10 papers), Hepatitis C virus research (8 papers) and Long-Term Effects of COVID-19 (8 papers). The work is most often cited by research in Infectious Diseases (964 citations), Neurology (535 citations) and Modeling and Simulation (46 citations). Shicheng Gao has collaborated with scholars based in China and Sweden. Frequent co-authors include Yong Xiong, Yongxi Zhang, Liping Deng, Ke Liang, Zhiyong Ma, Pingzheng Mo, Xiaoping Chen, Mingqi Luo, Shihui Song and Tielong Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Scientific Reports.

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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