Xiaotian Song

634 total citations
22 papers, 416 citations indexed

About

Xiaotian Song is a scholar working on Molecular Biology, Artificial Intelligence and Immunology. According to data from OpenAlex, Xiaotian Song has authored 22 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Artificial Intelligence and 5 papers in Immunology. Recurrent topics in Xiaotian Song's work include Quantum Information and Cryptography (4 papers), interferon and immune responses (3 papers) and Quantum Computing Algorithms and Architecture (3 papers). Xiaotian Song is often cited by papers focused on Quantum Information and Cryptography (4 papers), interferon and immune responses (3 papers) and Quantum Computing Algorithms and Architecture (3 papers). Xiaotian Song collaborates with scholars based in China and United States. Xiaotian Song's co-authors include Zhiyan Yao, Lin Wei, Gui‐Lu Long, Dong Pan, Zhengzheng Zhang, Miao Li, Cuiqing Ma, Wenjian Li, Jianling Yang and Jianguo Liu and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Xiaotian Song

22 papers receiving 408 citations

Peers

Xiaotian Song
Comparison fields: 5 of 82
  • Molecular Biology 125
  • Immunology 116
  • Epidemiology 98
  • Oncology 61
  • Artificial Intelligence 57
Replace Christopher Perry with:
Christopher Perry United Kingdom
Yuxin Sun China
Petr Matula Czechia
Linlin Du China
Yinghua Wu China
Rashmi Mukherjee India
Shaofan Liu China
Bo Pei China
Chunling Pan China
Yongjun Li China
Christopher Perry United Kingdom View profile →
Citations per field, relative to Xiaotian Song
Xiaotian Song · 1×
Citations per year, relative to Xiaotian Song
Xiaotian Song · 1×

Countries citing papers authored by Xiaotian Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiaotian Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaotian Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaotian Song. A scholar is included among the top collaborators of Xiaotian Song 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 Song. Xiaotian Song 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 9
2 9
3 11
4 10
5 4
6 2
7 14
8 3
9 37
10 47
11 41
12 19
13 29
14 18
15 17
16 4
17 79
18 6
19 26
20 7

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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