Huaigeng Xu

1.8k citations
12 papers · 990 indexed · 1 hit paper · h-index 12
Topics
CRISPR and Genetic Engineering (8 papers)Pluripotent Stem Cells Research (7 papers)CAR-T cell therapy research (3 papers)

In The Last Decade

Huaigeng Xu

12 papers receiving 974 citations

Hit Papers

Targeted Disruption of HLA Genes via CRISPR-Cas9 Generate...20192026202120232019100200300400

Peers

Huaigeng Xu
Comparison fields: 5 of 60
  • Molecular Biology 753
  • Oncology 299
  • Surgery 173
  • Genetics 160
  • Immunology 139
Replace Noriko Sasakawa with:
Noriko Sasakawa Japan
Colin L. Sweeney United States
Christopher T. Petersen United States
Mania Ackermann Germany
Joel R. Chamberlain United States
Shaunak Adkar United States
Tatsuki Ueda Japan
Courtney S. Young United States
Mako Yamamoto Japan
Stefan Hainzl Austria
Huaigeng Xu relative to Noriko Sasakawa Japan Noriko Sasakawa's profile →
Citations per field
00.5×1.5×1.8×
Noriko Sasakawa · 1×
Citations per year

Countries citing papers authored by Huaigeng Xu

Since Specialization
Citations

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

Fields of papers citing papers by Huaigeng Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huaigeng Xu

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 40
2 48
3 118
4 15
5 34
6
CRISPR-Cas9を介するHLA遺伝子の標的化破壊は免疫適合性を増強したIPSCを生成する【JST・京大機械翻訳】
71
7 130
8
Targeted Disruption of HLA Genes via CRISPR-Cas9 Generates iPSCs with Enhanced Immune Compatibilitybreakdown →
411
9 48
10 20
11 26
12 29

About Huaigeng Xu

Huaigeng Xu is a scholar working on Aging, Immunology and Molecular Biology, having authored 12 papers that have together received 990 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Pluripotent Stem Cells Research (7 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Business and International Management (34 citations), Aging (25 citations) and Molecular Biology (753 citations). Huaigeng Xu has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Akitsu Hotta, Peter Gee, Noriko Sasakawa, Tatsuki Ueda, Shin Kaneko, Miyuki Ono, Masaki Nomura, Misato Nishikawa, Keisuke Okita and Yoshinori Yoshida. Their work appears in journals such as Nature Communications, Scientific Reports and Biochemical and Biophysical Research Communications.

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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