Xiaotian Xu

801 citations
10 papers · 616 indexed · h-index 5
Topics
SARS-CoV-2 and COVID-19 Research (2 papers)Hepatitis C virus research (2 papers)Action Observation and Synchronization (2 papers)

In The Last Decade

Xiaotian Xu

8 papers receiving 601 citations

Peers

Xiaotian Xu
Comparison fields: 5 of 80
  • Infectious Diseases 361
  • Molecular Biology 189
  • Immunology 125
  • Neurology 97
  • Epidemiology 60
Replace Paula Monteiro Perin with:
Paula Monteiro Perin Germany
S.W. Tsao Hong Kong
Tai‐Ling Chao Taiwan
Ruochen Zang China
Suelen da Silva Gomes Dias Brazil
Miriam Ruth Heindl Germany
Vinícius Cardoso Soares Brazil
Junwen Luan China
Ronghui Liang China
Yabo Ouyang China
Xiaotian Xu relative to Paula Monteiro Perin Germany Paula Monteiro Perin's profile →
Citations per field
00.5×1.5×2.0×
Paula Monteiro Perin · 1×
Citations per year

Countries citing papers authored by Xiaotian Xu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaotian Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaotian Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaotian Xu. A scholar is included among the top collaborators of Xiaotian Xu 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 Xiaotian Xu. Xiaotian Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 0
2 0
3 4
4 3
5 7
6 4
7 297
8 161
9
Lymphocyte inhibitor of TRAIL (TNF-related apoptosis-inducing ligand): a new receptor protecting lymphocytes from the death ligand TRAIL.
122
10
Expression of functional insulin-like growth factor-1 receptor on lymphoid cell subsets of rats.
18

About Xiaotian Xu

Xiaotian Xu is a scholar working on Hepatology, Human-Computer Interaction and Infectious Diseases, having authored 10 papers that have together received 616 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (2 papers), Hepatitis C virus research (2 papers) and Action Observation and Synchronization (2 papers). The work is most often cited by research in Infectious Diseases (361 citations), Neurology (97 citations) and Immunology (125 citations). Xiaotian Xu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Li He, Kun Wen, Chi‐Ming Che, Lan Yang, J I Bell, Yanqing Ding, Liwen Qiu, Gavin Screaton, Yuxian He and Gwilym M. Morris. Their work appears in journals such as Nucleic Acids Research, European Journal of Neuroscience and The Journal of Pathology.

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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