Caixia Gao

796 citations
42 papers · 594 indexed · h-index 13
Topics
Cancer-related molecular mechanisms research (9 papers)Animal Virus Infections Studies (6 papers)Genetic and phenotypic traits in livestock (5 papers)
Partner nations
ChinaHong KongKenya

In The Last Decade

Caixia Gao

40 papers receiving 586 citations

Peers

Caixia Gao
Comparison fields: 5 of 82
  • Molecular Biology 194
  • Epidemiology 182
  • Endocrinology, Diabetes and Metabolism 177
  • Genetics 99
  • Cancer Research 79
Replace Yan Du with:
Yan Du China
Romain Carcenac France
Hirokuni Miyamoto Japan
Andreas F. Kolb United Kingdom
William C. Edwards United States
Yoko Kômatsu Japan
Zhenhua Guo China
Liyuan Ran China
Ling-Feng Miao China
Shintaro Hara Japan
Caixia Gao relative to Yan Du China Yan Du's profile →
Citations per field
00.5×6.1×
Yan Du · 1×
Citations per year

Countries citing papers authored by Caixia Gao

Since Specialization
Citations

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

Fields of papers citing papers by Caixia Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caixia Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Caixia Gao. A scholar is included among the top collaborators of Caixia Gao 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 Caixia Gao. Caixia Gao 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
#WorkIndexed citations
1 0
2 3
3 2
4 3
5 1
6 4
7 16
8 14
9 8
10 17
11 5
12 3
13 1
14 10
15 16
16 99
17
Isolation, identification and antimicrobial susceptibility of pathogenic Aeromonas veronii isolated from grass carp.
1
18 24
19 21
20
Agrobacterium-mediated transformation of Brachypodium distachyon through embryogenic calli derived from immature embryos.
2

About Caixia Gao

Caixia Gao is a scholar working on Cancer Research, Animal Science and Zoology and Microbiology, having authored 42 papers that have together received 594 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), Animal Virus Infections Studies (6 papers) and Genetic and phenotypic traits in livestock (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (177 citations), Epidemiology (182 citations) and Cancer Research (79 citations). Caixia Gao has collaborated with scholars based in China, Hong Kong and Kenya. Frequent co-authors include Yan Bi, Tingting Yin, Wenhuan Feng, Shanmei Shen, Ping Li, Dalong Zhu, Min Wu, Wei Chen, Bo‐Zhong Mu and Ji‐Dong Gu. Their work appears in journals such as Journal of Hazardous Materials, Biochemical and Biophysical Research Communications and Frontiers in Immunology.

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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