Suying Han

1.2k citations
42 papers · 995 indexed · h-index 18
Topics
Plant Molecular Biology Research (24 papers)Plant tissue culture and regeneration (19 papers)Plant Reproductive Biology (13 papers)
Partner nations
ChinaUnited StatesNepal

In The Last Decade

Suying Han

41 papers receiving 980 citations

Peers

Suying Han
Comparison fields: 5 of 61
  • Plant Science 776
  • Molecular Biology 760
  • Genetics 48
  • Cancer Research 42
  • Ecology, Evolution, Behavior and Systematics 29
Replace Wan-Feng Li with:
Wan-Feng Li China
Andriy Bilichak Canada
Martín A. Mecchia Argentina
Fernando A. Rabanal Germany
Huixian Zhao China
Jefri Heyman Belgium
Yong-Fu Fu China
Éric Lasserre France
Wenhua Yang China
Xuncheng Wang China
Suying Han relative to Wan-Feng Li China Wan-Feng Li's profile →
Citations per field
00.5×1.5×
Wan-Feng Li · 1×
Citations per year

Countries citing papers authored by Suying Han

Since Specialization
Citations

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

Fields of papers citing papers by Suying Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suying Han

This figure shows the co-authorship network connecting the top 25 collaborators of Suying Han. A scholar is included among the top collaborators of Suying Han 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 Suying Han. Suying Han 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 1
2 6
3 15
4 18
5 57
6 42
7 18
8 136
9 34
10 26
11 48
12 42
13 119
14 19
15 84
16 4
17
Transformation of hybrid larch(Larix leptolepis× L. olgensis) with CMO gene cloned from populus simonii cDNA library
1
18
Microdissection, in Situ Analysis and Microcloning of Poplar Chromosome 1
2
19 9
20
Karyotype Comparison of Aigeiros Species in Populus
2

About Suying Han

Suying Han is a scholar working on Plant Science, Molecular Biology and Developmental Neuroscience, having authored 42 papers that have together received 995 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (24 papers), Plant tissue culture and regeneration (19 papers) and Plant Reproductive Biology (13 papers). The work is most often cited by research in Plant Science (776 citations), Molecular Biology (760 citations) and Cancer Research (42 citations). Suying Han has collaborated with scholars based in China, United States and Nepal. Frequent co-authors include Liwang Qi, Wan-Feng Li, Shougong Zhang, Wenhua Yang, Xinmin Li, Junhong Zhang, Tao Wu, Jianfeng Zhu, Lifeng Zhang and Shuigen Li. Their work appears in journals such as PLoS ONE, 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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