Kai Xiao

1.2k total citations
51 papers, 765 citations indexed

About

Kai Xiao is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Kai Xiao has authored 51 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Genetics. Recurrent topics in Kai Xiao's work include Glioma Diagnosis and Treatment (7 papers), Cancer-related molecular mechanisms research (7 papers) and MicroRNA in disease regulation (6 papers). Kai Xiao is often cited by papers focused on Glioma Diagnosis and Treatment (7 papers), Cancer-related molecular mechanisms research (7 papers) and MicroRNA in disease regulation (6 papers). Kai Xiao collaborates with scholars based in China, United States and Germany. Kai Xiao's co-authors include Yasuo Sakuma, Yasuhiko Kondo, Qing Liu, Chaoying Qin, Wenyong Long, Qun Xiao, Jun Su, Changwu Wu, Huolin Shen and Jie Chen and has published in prestigious journals such as Advanced Materials, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Kai Xiao

48 papers receiving 758 citations

Peers

Kai Xiao
Comparison fields: 5 of 102
  • Molecular Biology 316
  • Cancer Research 168
  • Plant Science 105
  • Genetics 94
  • Immunology 86
Replace Eugene Choi with:
Eugene Choi United States
Won‐Tae Kim South Korea
Lars Mecklenburg Germany
Ewa Wiśniewska Poland
Simon A. Fox Australia
Melinda L. Angus-Hill United States
Tomonari Awaya Japan
Attila Kumánovics United States
M. Rosario Romero United Kingdom
Heidi Anderson United States
Eugene Choi United States View profile →
Citations per field, relative to Kai Xiao
Kai Xiao · 1×
Citations per year, relative to Kai Xiao
Kai Xiao · 1×

Countries citing papers authored by Kai Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Kai Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Xiao. A scholar is included among the top collaborators of Kai Xiao 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 Kai Xiao. Kai Xiao 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 5
3 0
4 14
5 10
6 21
7 5
8
Construction of Molecular Subtypes and Related Prognostic and Immune Response Models Based on M2 Macrophages in Glioblastoma
4
9 1
10 27
11 25
12 18
13 15
14 38
15 1
16 28
17 5
18 29
19 54
20
ADVANCES IN EPIDEMIOLOGIC STUDY OF PRIMARY LIVER CANCER
1

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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