Long Long

70 papers and 1.2k indexed citations i.

About

Long Long is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Long Long has authored 70 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 12 papers in Oncology and 12 papers in Cancer Research. Recurrent topics in Long Long’s work include Nerve injury and regeneration (6 papers), RNA modifications and cancer (4 papers) and Advanced Harmonic Analysis Research (4 papers). Long Long is often cited by papers focused on Nerve injury and regeneration (6 papers), RNA modifications and cancer (4 papers) and Advanced Harmonic Analysis Research (4 papers). Long Long collaborates with scholars based in China, United States and Czechia. Long Long's co-authors include Honglei Chen, Yuyang Zeng, Qi Pan, Xue Zhang, Fuchun Chen, Lili Wang, Qihai Gong, Hongxia Dan, Xin Zeng and Qianming Chen and has published in prestigious journals such as Brain Research, The FASEB Journal and British Journal of Pharmacology.

In The Last Decade

Co-authorship network of co-authors of Long Long i

Fields of papers citing papers by Long Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Long

Since Specialization
Citations

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