Siren Lan

1.9k citations
104 papers · 1.1k · h-index 20

Impact in

Papers in

Siren Lan

96 papers receiving 1.1k citations

Peers

Siren Lan
Comparison fields: 5 of 103
  • Health, Toxicology and Mutagenesis 317
  • Speech and Hearing 92
  • Plant Science 372
  • Ecology, Evolution, Behavior and Systematics 166
  • Global and Planetary Change 179
Replace Michiko Takagaki with:
Michiko Takagaki Japan
Hongxu Wei China
B. Henricot United Kingdom
Zhenyuan Sun China
Rebecca E. Miller Australia
Zhiyi Bao China
Li Dong China
Adrian Łukowski Poland
Nancai Pei China
Tytti Sarjala Finland
Siren Lan relative to Michiko Takagaki Japan Michiko Takagaki's profile →
Citations per field
00.5×2.9×
Michiko Takagaki · 1×
Citations per year

Countries citing papers authored by Siren Lan

Since Specialization
Citations

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

Fields of papers citing papers by Siren Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Siren Lan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Siren Lan Line = papers co-authored together Siren Lan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020106
2 201888
3 201956
4 202245
5 202136
6 202235
7 201932
8 201931
9 201928
10 201825
11 202324
12 202324
13 202223
14 202223
15 202123
16 202222
17 201922
18 202120
19 202220
20 202120

About Siren Lan

Siren Lan is a scholar working on Molecular Biology, Plant Science, Ecology, Evolution, Behavior and Systematics, Health, Toxicology and Mutagenesis and Pharmacology, having authored 104 papers that have together received 1.1k indexed citations. Recurring topics across this work include Plant and animal studies (28 papers), Plant Molecular Biology Research (27 papers), Plant Gene Expression Analysis (26 papers), Urban Green Space and Health (16 papers), Land Use and Ecosystem Services (12 papers), Biological and pharmacological studies of plants (12 papers), Plant Reproductive Biology (11 papers) and Plant Pathogens and Fungal Diseases (10 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (317 citations), Speech and Hearing (92 citations), Plant Science (372 citations), Ecology, Evolution, Behavior and Systematics (166 citations) and Global and Planetary Change (179 citations). Siren Lan has collaborated with scholars based in China, Canada and Türkiye. Frequent co-authors include Zhong‐Jian Liu, Qunyue Liu, Cecil C. Konijnendijk, Qitang Huang, Diyang Zhang, Yuanyuan Li, Weicong Fu, Weilun Yin, Guangyu Wang and Yu Wu. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Plant Science, Phytotaxa, Horticulturae and Urban forestry & urban greening.

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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