Ting‐Shen Han

640 total citations
17 papers, 443 citations indexed

About

Ting‐Shen Han is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Ting‐Shen Han has authored 17 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Plant Science and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Ting‐Shen Han's work include Genetic diversity and population structure (7 papers), Plant Ecology and Taxonomy Studies (5 papers) and Genomics and Phylogenetic Studies (5 papers). Ting‐Shen Han is often cited by papers focused on Genetic diversity and population structure (7 papers), Plant Ecology and Taxonomy Studies (5 papers) and Genomics and Phylogenetic Studies (5 papers). Ting‐Shen Han collaborates with scholars based in China, Germany and Denmark. Ting‐Shen Han's co-authors include Ya‐Long Guo, Wenxuan Han, Zhengbing Yan, Yu-Pan Zou, Jingyun Fang, Ziwen Li, Qiong Wu, Yaowu Xing, Enzai Du and Song Ge and has published in prestigious journals such as The Plant Cell, New Phytologist and Genome biology.

In The Last Decade

Ting‐Shen Han

15 papers receiving 431 citations

Peers

Ting‐Shen Han
Comparison fields: 5 of 49
  • Plant Science 255
  • Molecular Biology 179
  • Genetics 119
  • Ecology, Evolution, Behavior and Systematics 112
  • Soil Science 78
Replace Elena Mosca with:
Elena Mosca Italy
Hitoshi Sakio Japan
Branko Vreš Slovenia
Thomas B. Patterson United States
Alena Havrdová Czechia
Krissa A. Skogen United States
Junpeng Mu China
Youhong Peng China
Lang Li China
Emily A. Robinson United States
Elena Mosca Italy View profile →
Citations per field, relative to Ting‐Shen Han
Ting‐Shen Han · 1×
Citations per year, relative to Ting‐Shen Han
Ting‐Shen Han · 1×

Countries citing papers authored by Ting‐Shen Han

Since Specialization
Citations

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

Fields of papers citing papers by Ting‐Shen Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting‐Shen Han

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 0
2 0
3 3
4 3
5 10
6 2
7 7
8 3
9 72
10 21
11 46
12 49
13 42
14 36
15 42
16 93
17 14

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