Guogui Ning

1.2k citations
32 papers · 888 indexed · h-index 18
Topics
Plant Gene Expression Analysis (13 papers)Plant Reproductive Biology (9 papers)Plant biochemistry and biosynthesis (8 papers)
Journals
CellProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología
Partner nations
ChinaUnited StatesSpain

In The Last Decade

Guogui Ning

32 papers receiving 855 citations

Peers

Guogui Ning
Comparison fields: 5 of 63
  • Molecular Biology 658
  • Plant Science 528
  • Biochemistry 162
  • Ecology, Evolution, Behavior and Systematics 67
  • Biotechnology 42
Replace Ji Hyung Jun with:
Ji Hyung Jun United States
Diane Burgess United States
Xianhong Ge China
Jiangping Song China
Yongjin Shang New Zealand
Choong‐Ill Cheon South Korea
Felipe Fenselau de Felippes Australia
T. Sala Italy
Xinghai Yang China
Peihua Cong China
Guogui Ning relative to Ji Hyung Jun United States Ji Hyung Jun's profile →
Citations per field
00.5×4.5×
Ji Hyung Jun · 1×
Citations per year

Countries citing papers authored by Guogui Ning

Since Specialization
Citations

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

Fields of papers citing papers by Guogui Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guogui Ning

This figure shows the co-authorship network connecting the top 25 collaborators of Guogui Ning. A scholar is included among the top collaborators of Guogui Ning 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 Guogui Ning. Guogui Ning 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 2
2 1
3 9
4 4
5 8
6 1
7 21
8 3
9 23
10 2
11 24
12 30
13 70
14 23
15 34
16 71
17 167
18 23
19 57
20
MICROPROPAGATION OF SIX PRUNUS MUME CULTIVARS THROUGH AXILLARY SHOOT PROLIFERATION, AND ISSR ANALYSIS OF CLONED PLANTS
11

About Guogui Ning

Guogui Ning is a scholar working on Plant Science, Molecular Biology and Biotechnology, having authored 32 papers that have together received 888 indexed citations. Recurring topics across this work include Plant Gene Expression Analysis (13 papers), Plant Reproductive Biology (9 papers) and Plant biochemistry and biosynthesis (8 papers). The work is most often cited by research in Biochemistry (162 citations), Plant Science (528 citations) and Molecular Biology (658 citations). Guogui Ning has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Manzhu Bao, Yuxiao Shen, Jian Zhao, Penghui Li, Ping Luo, Zhen Wang, Huanan Jin, Deqiang Duanmu, Manzhu Bao and Qiuling Fan. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

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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