Xiang Dong

7.6k total citations · 3 hit papers
29 papers, 4.6k citations indexed

About

Xiang Dong is a scholar working on Infectious Diseases, Aerospace Engineering and Surgery. According to data from OpenAlex, Xiang Dong has authored 29 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 6 papers in Aerospace Engineering and 5 papers in Surgery. Recurrent topics in Xiang Dong's work include COVID-19 Clinical Research Studies (9 papers), GNSS positioning and interference (5 papers) and Long-Term Effects of COVID-19 (5 papers). Xiang Dong is often cited by papers focused on COVID-19 Clinical Research Studies (9 papers), GNSS positioning and interference (5 papers) and Long-Term Effects of COVID-19 (5 papers). Xiang Dong collaborates with scholars based in China, Switzerland and Türkiye. Xiang Dong's co-authors include Jinjin Zhang, Yadong Gao, Cezmi A. Akdiş, Yiyuan Cao, Youqin Yan, Yibin Yang, Yadong Yuan, Guanghui Liu, Mübeccel Akdiş and Mei Ding and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Medicine.

In The Last Decade

Xiang Dong

22 papers receiving 4.5k citations

Hit Papers

Clinical characteristics of 140 patients infected with SA... 2020 2026 2022 2024 2020 2020 2022 500 1000 1.5k 2.0k 2.5k

Peers

Xiang Dong
Comparison fields: 5 of 145
  • Infectious Diseases 3.4k
  • Neurology 1.7k
  • Oncology 797
  • Epidemiology 490
  • Clinical Psychology 469
Replace Yiyuan Cao with:
Yiyuan Cao China
Youqin Yan China
Jinghui Dong China
Ziwei Hu China
Raymond Pranata Indonesia
Qiurong Ruan China
Yadong Yuan China
Nardo J. M. van der Meer Netherlands
Yiyuan Cao China View profile →
Citations per field, relative to Xiang Dong
Xiang Dong · 1×
Citations per year, relative to Xiang Dong
Xiang Dong · 1×

Countries citing papers authored by Xiang Dong

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Dong. A scholar is included among the top collaborators of Xiang Dong 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 Xiang Dong. Xiang Dong 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
# Work Indexed citations
1 1
2 0
3 0
4 1
5 2
6 0
7
Risk and Protective Factors for COVID-19 Morbidity, Severity, and Mortality breakdown →
320
8 2
9 4
10 0
11 1
12 7
13 154
14 68
15
Risk factors for severe and critically ill COVID‐19 patients: A review breakdown →
850
16
Clinical characteristics of 140 patients infected with SARS‐CoV‐2 in Wuhan, China breakdown →
2687
17 248
18 124
19 7
20 17

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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