Yixin Ji

853 total citations
33 papers, 438 citations indexed

About

Yixin Ji is a scholar working on Epidemiology, Infectious Diseases and Artificial Intelligence. According to data from OpenAlex, Yixin Ji has authored 33 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 9 papers in Infectious Diseases and 5 papers in Artificial Intelligence. Recurrent topics in Yixin Ji's work include Virology and Viral Diseases (12 papers), Respiratory viral infections research (11 papers) and Parvovirus B19 Infection Studies (4 papers). Yixin Ji is often cited by papers focused on Virology and Viral Diseases (12 papers), Respiratory viral infections research (11 papers) and Parvovirus B19 Infection Studies (4 papers). Yixin Ji collaborates with scholars based in China, United States and Switzerland. Yixin Ji's co-authors include Zhen Zhu, Wenbo Xu, Naiying Mao, Liuying Tang, Yan Zhang, Zhaohui Yang, Yong Zhang, Lin Xu, Chongshan Li and Ai‐Li Cui and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and RSC Advances.

In The Last Decade

Yixin Ji

29 papers receiving 427 citations

Peers

Yixin Ji
Comparison fields: 5 of 67
  • Epidemiology 250
  • Infectious Diseases 237
  • Cardiology and Cardiovascular Medicine 139
  • Genetics 96
  • Agronomy and Crop Science 68
Replace Zhengchun Lu with:
Zhengchun Lu United States
H G van der Avoort Netherlands
Setsuko Kitaoka Japan
Jane K. Fieldhouse United States
Zaharoula Kyriakopoulou Greece
Kuan-Ying A. Huang Taiwan
Justine Oliva France
K. B. Chua Malaysia
Guohong Huang China
Keith Grehan United Kingdom
Zhengchun Lu United States View profile →
Citations per field, relative to Yixin Ji
Yixin Ji · 1×
Citations per year, relative to Yixin Ji
Yixin Ji · 1×

Countries citing papers authored by Yixin Ji

Since Specialization
Citations

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

Fields of papers citing papers by Yixin Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yixin Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Yixin Ji. A scholar is included among the top collaborators of Yixin Ji 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 Yixin Ji. Yixin Ji 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 0
2 0
3 2
4 2
5 4
6 3
7 23
8 4
9 1
10 1
11 13
12 11
13 15
14 45
15 29
16 88
17 14
18
Surveillance and Running Status of Laboratory Network for Measles and Rubella in China in 2007
1
19 16
20
Genetic characterization of the wild--type measles viruses isolated in six provinces of China in 2005
3

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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