Mei Xia

1.1k total citations
35 papers, 392 citations indexed

About

Mei Xia is a scholar working on Immunology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Mei Xia has authored 35 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 7 papers in Epidemiology and 5 papers in Infectious Diseases. Recurrent topics in Mei Xia's work include Immune Cell Function and Interaction (10 papers), Mycobacterium research and diagnosis (5 papers) and Tuberculosis Research and Epidemiology (5 papers). Mei Xia is often cited by papers focused on Immune Cell Function and Interaction (10 papers), Mycobacterium research and diagnosis (5 papers) and Tuberculosis Research and Epidemiology (5 papers). Mei Xia collaborates with scholars based in China, United States and Switzerland. Mei Xia's co-authors include Daniel F. Hoft, Azra Blazevic, Dan Zhao, Wen Qiu, Yingwei Wang, Getahun Abate, Charles T. Spencer, Isaac G. Sakala, Christopher S. Eickhoff and Guangyong Peng and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Mei Xia

32 papers receiving 389 citations

Peers

Mei Xia
Comparison fields: 5 of 74
  • Immunology 198
  • Molecular Biology 114
  • Infectious Diseases 84
  • Epidemiology 81
  • Nephrology 55
Replace Jian Su with:
Jian Su China
Rieko Ohta Japan
Yung-Chi Chang Taiwan
Kelly M. Cheney Australia
Xiaopeng Wan China
Mary L. Huggins United Kingdom
Adam Idica United States
Amit Kumar Singh India
Rie Namai Japan
Baldeep Wirk United States
Jian Su China View profile →
Citations per field, relative to Mei Xia
Mei Xia · 1×
Citations per year, relative to Mei Xia
Mei Xia · 1×

Countries citing papers authored by Mei Xia

Since Specialization
Citations

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

Fields of papers citing papers by Mei Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Xia. A scholar is included among the top collaborators of Mei Xia 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 Mei Xia. Mei Xia 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 1
3 9
4 2
5 11
6 9
7 1
8 1
9 4
10 12
11
Risk Factors and Adverse Pregnancy Outcomes of Succenturiate Placenta: A Case-Control Study.
11
12 10
13 86
14 28
15 16
16 44
17 3
18 22
19 15
20
Study of association between HPV infection and squamous cell cancer as well as dysplasia tissues of esophageal
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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