Fenglin Lv

About

Fenglin Lv is a scholar working on Molecular Biology, Immunology and Computational Theory and Mathematics. According to data from OpenAlex, Fenglin Lv has authored 43 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 6 papers in Immunology and 6 papers in Computational Theory and Mathematics. Recurrent topics in Fenglin Lv’s work include Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (6 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Fenglin Lv is often cited by papers focused on Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (6 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Fenglin Lv collaborates with scholars based in China, United States and Russia. Fenglin Lv's co-authors include Peng Zhou, Qingwu Yang, Feifei Tian, Jing‐Zhou Wang, Zhicai Shang, Sen Lin, Yu Zhou, Jie Cui, Yang Li and Qing Yin and has published in prestigious journals such as Annals of Neurology, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Co-authorship network of co-authors of Fenglin Lv i

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Fields of papers citing papers by Fenglin Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fenglin Lv

Since Specialization

Citations

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