Guannan Geng

878 citations
18 papers · 629 indexed · 1 hit paper · h-index 12
Topics
RNA modifications and cancer (5 papers)HIV Research and Treatment (3 papers)Cancer-related molecular mechanisms research (3 papers)
Partner nations
ChinaSaudi ArabiaNigeria

In The Last Decade

Guannan Geng

17 papers receiving 624 citations

Hit Papers

Programmable RNA editing with compact CRISPR–Cas13 system...2021202620222024202150100150200

Peers

Guannan Geng
Comparison fields: 5 of 80
  • Molecular Biology 437
  • Organic Chemistry 90
  • Immunology 71
  • Genetics 53
  • Cancer Research 52
Replace Lijing Li with:
Lijing Li China
János Aradi Hungary
Luke N. Robinson United States
Federica Bucci Italy
Weihua Dong China
Kathryn Gilroy United Kingdom
Tomoaki Komai Japan
Agnieszka Krakowiak Poland
Vladimir Yong‐Gonzalez United States
Warren Wu United States
Guannan Geng relative to Lijing Li China Lijing Li's profile →
Citations per field
00.5×2.8×
Lijing Li · 1×
Citations per year

Countries citing papers authored by Guannan Geng

Since Specialization
Citations

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

Fields of papers citing papers by Guannan Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guannan Geng

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 2
3 29
4 20
5 13
6 9
7
Programmable RNA editing with compact CRISPR–Cas13 systems from uncultivated microbesbreakdown →
232
8 18
9 7
10 13
11 32
12 53
13 1
14 16
15 92
16 38
17 46
18 8

About Guannan Geng

Guannan Geng is a scholar working on Virology, Rheumatology and Periodontics, having authored 18 papers that have together received 629 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), HIV Research and Treatment (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Virology (43 citations), Business and International Management (17 citations) and Molecular Biology (437 citations). Guannan Geng has collaborated with scholars based in China, Saudi Arabia and Nigeria. Frequent co-authors include Ting Pan, Hui Zhang, Chuan Bai, Bing Chen, Haihua Luo, Bingbing He, Zikang Wang, Qingquan Xiao, Chunlong Xu and Jinsheng Lai. Their work appears in journals such as PLoS ONE, Nature Methods and Scientific Reports.

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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