Hai Lan

67 papers and 1.3k indexed citations i.

About

Hai Lan is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Hai Lan has authored 67 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Plant Science, 25 papers in Genetics and 23 papers in Molecular Biology. Recurrent topics in Hai Lan’s work include Genetic Mapping and Diversity in Plants and Animals (18 papers), Plant Molecular Biology Research (15 papers) and Genetics and Plant Breeding (9 papers). Hai Lan is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (18 papers), Plant Molecular Biology Research (15 papers) and Genetics and Plant Breeding (9 papers). Hai Lan collaborates with scholars based in China, United States and Canada. Hai Lan's co-authors include Tingzhao Rong, Guangtang Pan, Shibin Gao, Yanli Lu, Hailan Liu, Jie Xu, Moju Cao, Suzhi Zhang, Lujiang Li and Yunbi Xu and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Co-authorship network of co-authors of Hai Lan i

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.

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).

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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2025