Hai Lan

2.0k citations
72 papers · 1.5k · h-index 23

Impact in

    • Plant Molecular Biology Research
    • Plant nutrient uptake and metabolism
    • Genetics and Plant Breeding
    • Plant Stress Responses and Tolerance
    • Plant Micronutrient Interactions and Effects
    • Wheat and Barley Genetics and Pathology
  • Genetics top 5%
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

    • Plant Molecular Biology Research 15
    • Plant nutrient uptake and metabolism 10
    • Genetics and Plant Breeding 8
    • Plant Micronutrient Interactions and Effects 6
    • Plant Stress Responses and Tolerance 6
    • Genetic Mapping and Diversity in Plants and Animals 16

Hai Lan

68 papers receiving 1.5k citations

Peers

Hai Lan
Comparison fields: 5 of 91
  • Plant Science 1.1k
  • Genetics 372
  • Agronomy and Crop Science 99
  • Reproductive Medicine 63
  • Molecular Biology 479
Replace Tieming Ji with:
Tieming Ji United States
Yi He China
Aamir W. Khan India
Yoichiro Hoshino Japan
Shengxue Liu China
Yahui Gao China
Hiroshi Ikawa Japan
Gastón Muñoz Chile
Hai Lan relative to Tieming Ji United States Tieming Ji's profile →
Citations per field
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Tieming Ji · 1×
Citations per year

Countries citing papers authored by Hai Lan

Since Specialization
Citations

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

Fields of papers citing papers by Hai Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016189
2 2014126
3 2014104
4 201876
5 201571
6 201165
7 201051
8 201249
9 201744
10 201340
11 201540
12 202237
13 201433
14 201033
15 201232
16 201532
17 201630
18 201729
19 201926
20 202126

About Hai Lan

Hai Lan is a scholar working on Plant Science, Genetics, Molecular Biology, Immunology and Reproductive Medicine, having authored 72 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (16 papers), Plant Molecular Biology Research (15 papers), Plant nutrient uptake and metabolism (10 papers), Genetics and Plant Breeding (8 papers), Plant Reproductive Biology (8 papers), Plant Micronutrient Interactions and Effects (6 papers), Plant Stress Responses and Tolerance (6 papers) and Reproductive System and Pregnancy (5 papers). The work is most often cited by research in Plant Science (1.1k citations), Genetics (372 citations), Agronomy and Crop Science (99 citations), Reproductive Medicine (63 citations) and Molecular Biology (479 citations). Hai Lan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Tingzhao Rong, Guangtang Pan, Shibin Gao, Yanli Lu, Hailan Liu, Jie Xu, Moju Cao, Lujiang Li, Suzhi Zhang and Chao Xia. Their work appears in journals such as Biology of Reproduction, Plants, PLoS ONE, BMC Plant Biology and PeerJ.

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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