Hailing Fang

1.6k total citations · 1 hit paper
39 papers, 827 citations indexed

About

Hailing Fang is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Hailing Fang has authored 39 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 19 papers in Plant Science and 6 papers in Pharmacology. Recurrent topics in Hailing Fang's work include Plant biochemistry and biosynthesis (10 papers), Plant Gene Expression Analysis (8 papers) and Plant Molecular Biology Research (8 papers). Hailing Fang is often cited by papers focused on Plant biochemistry and biosynthesis (10 papers), Plant Gene Expression Analysis (8 papers) and Plant Molecular Biology Research (8 papers). Hailing Fang collaborates with scholars based in China, Australia and United States. Hailing Fang's co-authors include Jian Yang, Longda Jiang, Zhili Zheng, Xiwu Qi, Chengyuan Liang, Zequn Chen, Weilin Li, Yang Wu, Shouye Liu and Ting Qi and has published in prestigious journals such as Nature Genetics, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Hailing Fang

36 papers receiving 818 citations

Hit Papers

A generalized linear mixed model association tool for bio... 2021 2026 2022 2024 2021 100 200 300

Peers

Hailing Fang
Comparison fields: 5 of 116
  • Molecular Biology 423
  • Genetics 213
  • Plant Science 187
  • Epidemiology 67
  • Pharmacology 63
Replace Min Guo with:
Min Guo China
Wendy Chao United States
Tesfaye M. Baye United States
Wei Ma China
Youichi Sato Japan
Wenqi Xu China
Geetha Suryakumar India
Xiaomei Zhang China
Seong-Gene Lee South Korea
Min Guo China View profile →
Citations per field, relative to Hailing Fang
Hailing Fang · 1×
Citations per year, relative to Hailing Fang
Hailing Fang · 1×

Countries citing papers authored by Hailing Fang

Since Specialization
Citations

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

Fields of papers citing papers by Hailing Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailing Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Hailing Fang. A scholar is included among the top collaborators of Hailing Fang 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 Hailing Fang. Hailing Fang 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
# Work Indexed citations
1 1
2 0
3 2
4 4
5 2
6 1
7 3
8 22
9 6
10 3
11 96
12 12
13 16
14 5
15
A generalized linear mixed model association tool for biobank-scale data breakdown →
333
16 20
17
Effects of photoperiod on photosynthesis and antioxidative enzyme activities of Lonicera japonica.
2
18 13
19 25
20
Study on antioxidation ability of essential oil from Dendranthema indicum dry flower in five edible oils.
1

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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2026