Fan Ling

About

Fan Ling is a scholar working on Plant Science, Molecular Biology and Insect Science. According to data from OpenAlex, Fan Ling has authored 22 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 9 papers in Molecular Biology and 2 papers in Insect Science. Recurrent topics in Fan Ling’s work include Research in Cotton Cultivation (11 papers), Plant Stress Responses and Tolerance (4 papers) and Plant tissue culture and regeneration (3 papers). Fan Ling is often cited by papers focused on Research in Cotton Cultivation (11 papers), Plant Stress Responses and Tolerance (4 papers) and Plant tissue culture and regeneration (3 papers). Fan Ling collaborates with scholars based in China, Israel and Argentina. Fan Ling's co-authors include Peter Neumann, Raphael Linker, Shimon Gepstein, Eiichi Tanimoto, Ryōichi Yamamoto, Dongmei Wang, Weijun Shi, Hui Yuan, Xian Wang and Yufei Jiang and has published in prestigious journals such as PLANT PHYSIOLOGY, Oncogene and Physiologia Plantarum.

In The Last Decade

Co-authorship network of co-authors of Fan Ling i

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Fields of papers citing papers by Fan Ling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fan Ling

Since Specialization

Citations

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