Caixia Gao

34.0k citations
197 papers · 19.2k indexed · 25 hit papers · h-index 62

Impact in

Papers in

Caixia Gao

192 papers receiving 18.6k citations

Hit Papers

Targeted genome-modification tools and their advanced applications in crop breeding 2024 · 113 citations
1132013202620172021250500750

Peers

Caixia Gao
Comparison fields: 5 of 166
  • Business and International Management 1.1k
  • Plant Science 12.4k
  • Aging 448
  • Molecular Biology 14.0k
  • Biotechnology 1.4k
Replace Yanpeng Wang with:
Yanpeng Wang China
Yong Zhang China
Holger Puchta Germany
Yao‐Guang Liu China
Huawei Zhang China
Kan Wang United States
Tao Zhang China
Shuangxia Jin China
Keith Lindsey United Kingdom
Caixia Gao relative to Yanpeng Wang China Yanpeng Wang's profile →
Citations per field
00.5×2.9×
Yanpeng Wang · 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-authors

The 25 scholars most cited alongside Caixia Gao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Caixia Gao Line = papers co-authored together Caixia Gao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20258
4 20250
5 20252
6 20251
7 20249
8 202422
9 202423
10 202315
11 202328
12
Precise integration of large DNA sequences in plant genomes using PrimeRoot editors
Hit paper breakdown →
2023115
13 202161
14 20203
15 202044
16 201927
17 201785
18 201744
19
Precise base editing in rice, wheat and maize with a Cas9-cytidine deaminase fusion
Hit paper breakdown →
2017603
20 2016252

About Caixia Gao

Caixia Gao is a scholar working on Plant Science, Business and International Management, Biotechnology, Molecular Biology and Aging, having authored 197 papers that have together received 19.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (90 papers), Plant Virus Research Studies (46 papers), Chromosomal and Genetic Variations (35 papers), RNA and protein synthesis mechanisms (19 papers), Plant tissue culture and regeneration (18 papers), RNA regulation and disease (11 papers), Insect symbiosis and bacterial influences (10 papers) and Transgenic Plants and Applications (10 papers). The work is most often cited by research in Business and International Management (1.1k citations), Plant Science (12.4k citations), Aging (448 citations), Molecular Biology (14.0k citations) and Biotechnology (1.4k citations). Caixia Gao has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Yanpeng Wang, Kunling Chen, Jin‐Long Qiu, Yi Zhang, Huawei Zhang, Jin‐Xing Liu, Yuan Zong, Qiwei Shan, Rui Zhang and Zhen Liang. Their work appears in journals such as Nature Biotechnology, Scientific Reports, Genome biology, Science China Life Sciences and Plant Biotechnology Journal.

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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