Xiangao Jiang

3.2k citations
34 papers · 2.0k indexed · 1 hit paper · h-index 9
Topics
Tuberculosis Research and Epidemiology (11 papers)COVID-19 Clinical Research Studies (9 papers)Mycobacterium research and diagnosis (9 papers)
Partner nations
China

In The Last Decade

Xiangao Jiang

28 papers receiving 1.9k citations

Hit Papers

Clinical findings in a group of patients infected with th...202020262022202420204008001.2k

Peers

Xiangao Jiang
Comparison fields: 5 of 132
  • Infectious Diseases 1.3k
  • Neurology 654
  • Radiology, Nuclear Medicine and Imaging 321
  • Oncology 294
  • Epidemiology 275
Replace Jianyi Dai with:
Jianyi Dai China
Raffaela Di Napoli Italy
Nanchuan Jiang China
Scott C. Dulebohn United States
Meng Jiang China
Ziyue Zu China
Jin Gu China
Tongyu Zhu China
Qingfeng Sun China
Xiangao Jiang relative to Jianyi Dai China Jianyi Dai's profile →
Citations per field
00.5×
Jianyi Dai · 1×
Citations per year

Countries citing papers authored by Xiangao Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Xiangao Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangao Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangao Jiang. A scholar is included among the top collaborators of Xiangao Jiang 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 Xiangao Jiang. Xiangao Jiang 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 6
2 0
3 2
4 0
5 0
6 3
7 2
8 2
9 3
10 4
11 13
12 17
13 2
14 8
15 1
16 0
17
Clinical findings in a group of patients infected with the 2019 novel coronavirus (SARS-Cov-2) outside of Wuhan, China: retrospective case seriesbreakdown →
1497
18 8
19 25
20 19

About Xiangao Jiang

Xiangao Jiang is a scholar working on Infectious Diseases, Epidemiology and Pharmacology, having authored 34 papers that have together received 2.0k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (11 papers), COVID-19 Clinical Research Studies (9 papers) and Mycobacterium research and diagnosis (9 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Neurology (654 citations) and Modeling and Simulation (179 citations). Xiangao Jiang has collaborated with scholars based in China. Frequent co-authors include Xiaowei Xu, Xiaoxin Wu, Lingjun Ying, Chunlian Ma, Yunqing Qiu, Hainv Gao, Shibo Li, Sheng Zhang, Huaying Wang and Jifang Sheng. Their work appears in journals such as BMJ, Journal of Ethnopharmacology and Toxicology and Applied Pharmacology.

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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