Ding Xiang Liu

11.5k citations
159 papers · 7.9k indexed · 2 hit papers · h-index 52
Topics
Animal Virus Infections Studies (94 papers)Viral gastroenteritis research and epidemiology (80 papers)SARS-CoV-2 and COVID-19 Research (78 papers)

In The Last Decade

Ding Xiang Liu

154 papers receiving 7.8k citations

Hit Papers

Human Coronavirus: Host-Pathogen Interaction201620262019202220192016200400600

Peers

Ding Xiang Liu
Comparison fields: 5 of 137
  • Infectious Diseases 5.2k
  • Animal Science and Zoology 2.7k
  • Molecular Biology 2.1k
  • Immunology 1.1k
  • Epidemiology 1.0k
Replace Cornelis A. M. de Haan with:
Cornelis A. M. de Haan Netherlands
Shinji Makino United States
Étienne Decroly France
Bo‐Jian Zheng Hong Kong
Marjolein Kikkert Netherlands
Susan R. Weiss United States
Gary R. Whittaker United States
Matthew B. Frieman United States
Michael J. Buchmeier United States
Jessika C. Zevenhoven-Dobbe Netherlands
Ding Xiang Liu relative to Cornelis A. M. de Haan Netherlands Cornelis A. M. de Haan's profile →
Citations per field
00.5×1.5×
Cornelis A. M. de Haan · 1×
Citations per year

Countries citing papers authored by Ding Xiang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ding Xiang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ding Xiang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ding Xiang Liu. A scholar is included among the top collaborators of Ding Xiang Liu 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 Ding Xiang Liu. Ding Xiang Liu 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 5
2 15
3 2
4 5
5 13
6 56
7 28
8 55
9 35
10 12
11 44
12 216
13 34
14 50
15 14
16 111
17 75
18 53
19 47
20 36

About Ding Xiang Liu

Ding Xiang Liu is a scholar working on Animal Science and Zoology, Infectious Diseases and Genetics, having authored 159 papers that have together received 7.9k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (94 papers), Viral gastroenteritis research and epidemiology (80 papers) and SARS-CoV-2 and COVID-19 Research (78 papers). The work is most often cited by research in Infectious Diseases (5.2k citations), Animal Science and Zoology (2.7k citations) and Immunology (1.1k citations). Ding Xiang Liu has collaborated with scholars based in Singapore, China and United Kingdom. Frequent co-authors include To Sing Fung, James P. Tam, Ying Liao, Jaume Torres, Stephen Inglis, Mei Huang, K. P. Lim, Shouguo Fang, Yvonne Xinyi Lim and Shuo Shen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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