Tao Lan

3.3k citations
116 papers · 2.5k · h-index 24

Impact in

Papers in

    • Plant Molecular Biology Research 9
    • Plant Stress Responses and Tolerance 8
    • GABA and Rice Research 8
    • Plant Reproductive Biology 6
    • DNA and Nucleic Acid Chemistry 6

Tao Lan

112 papers receiving 2.4k citations

Peers

Tao Lan
Comparison fields: 5 of 154
  • Pollution 411
  • Industrial and Manufacturing Engineering 265
  • Marketing 210
  • Plant Science 767
  • Analytical Chemistry 134
Replace Xiu‐Qing Li with:
Xiu‐Qing Li China
Gadah Albasher Saudi Arabia
Rickey Y. Yada Canada
W.M.F. Jongen Netherlands
Birgit Geueke Switzerland
Xueqin Tao China
Yoon‐Mo Koo South Korea
Lourdes Pérez Spain
Lois Swirsky Gold United States
Tao Lan relative to Xiu‐Qing Li China Xiu‐Qing Li's profile →
Citations per field
00.5×4.3×
Xiu‐Qing Li · 1×
Citations per year

Countries citing papers authored by Tao Lan

Since Specialization
Citations

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

Fields of papers citing papers by Tao Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tao 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 Tao Lan Line = papers co-authored together Tao Lan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019256
2 1994194
3 2015161
4 2020112
5 201897
6 202087
7 201984
8 200675
9 201962
10 200761
11 201959
12 201857
13 201757
14 202054
15 201540
16 200938
17 200037
18 201034
19 201434
20 201233

About Tao Lan

Tao Lan is a scholar working on Plant Science, Molecular Biology, Immunology, Analytical Chemistry and Genetics, having authored 116 papers that have together received 2.5k indexed citations. Recurring topics across this work include Immune Response and Inflammation (10 papers), Plant Molecular Biology Research (9 papers), Immune Cell Function and Interaction (8 papers), Plant Stress Responses and Tolerance (8 papers), GABA and Rice Research (8 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers), Plant Reproductive Biology (6 papers) and DNA and Nucleic Acid Chemistry (6 papers). The work is most often cited by research in Pollution (411 citations), Industrial and Manufacturing Engineering (265 citations), Marketing (210 citations), Plant Science (767 citations) and Analytical Chemistry (134 citations). Tao Lan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qiao Chu, Congcong Yu, Ting Wang, Fenghe Wang, Rui Guo, Tao Wang, Andrew H. Paterson, S. P. Kowalski, Kenneth A. Feldmann and Jingfeng Wang. Their work appears in journals such as PLoS ONE, Environmental Science and Pollution Research, Scientific Reports, Molecules and Biochemistry.

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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