Long Jin

28 papers and 313 indexed citations i.

About

Long Jin is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Neurology. According to data from OpenAlex, Long Jin has authored 28 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 8 papers in Surgery and 8 papers in Neurology. Recurrent topics in Long Jin’s work include Cerebral Venous Sinus Thrombosis (8 papers), Vascular Malformations Diagnosis and Treatment (5 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). Long Jin is often cited by papers focused on Cerebral Venous Sinus Thrombosis (8 papers), Vascular Malformations Diagnosis and Treatment (5 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). Long Jin collaborates with scholars based in China, Italy and Vietnam. Long Jin's co-authors include He Wen, Aike Qiao, Zhenchang Wang, Shasha Cao, Zeran Yang, Jun Xia, Li Zhu, Chen Chen, Han Lv and Heyu Ding and has published in prestigious journals such as Biosensors and Bioelectronics, Neurosurgery and European Journal of Cancer.

In The Last Decade

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

Fields of papers citing papers by Long Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Jin

Since Specialization
Citations

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