Long Di

38 papers and 416 indexed citations i.

About

Long Di is a scholar working on Genetics, Epidemiology and Neurology. According to data from OpenAlex, Long Di has authored 38 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 15 papers in Epidemiology and 14 papers in Neurology. Recurrent topics in Long Di’s work include Glioma Diagnosis and Treatment (20 papers), Meningioma and schwannoma management (12 papers) and Traumatic Brain Injury and Neurovascular Disturbances (5 papers). Long Di is often cited by papers focused on Glioma Diagnosis and Treatment (20 papers), Meningioma and schwannoma management (12 papers) and Traumatic Brain Injury and Neurovascular Disturbances (5 papers). Long Di collaborates with scholars based in United States, Japan and China. Long Di's co-authors include Daniel G. Eichberg, Michael E. Ivan, Ricardo J. Komotar, Ashish H. Shah, Evan Luther, Victor M. Lu, Alexa Semonche, Allan D. Levi, Gregory W. Basil and Aria Jamshidi and has published in prestigious journals such as Journal of neurosurgery, Neurosurgery and Journal of Neuro-Oncology.

In The Last Decade

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

Fields of papers citing papers by Long Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Di

Since Specialization
Citations

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