Chang Jun

About

Chang Jun is a scholar working on Information Systems, Sociology and Political Science and Epidemiology. According to data from OpenAlex, Chang Jun has authored 5 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Information Systems, 1 paper in Sociology and Political Science and 1 paper in Epidemiology. Recurrent topics in Chang Jun’s work include Autophagy in Disease and Therapy (1 paper), Distributed and Parallel Computing Systems (1 paper) and Calcium signaling and nucleotide metabolism (1 paper). Chang Jun is often cited by papers focused on Autophagy in Disease and Therapy (1 paper), Distributed and Parallel Computing Systems (1 paper) and Calcium signaling and nucleotide metabolism (1 paper). Chang Jun collaborates with scholars based in China, United States and Taiwan. Chang Jun's co-authors include Mondira Kundu, Seung‐Hyun Ro, Neil Otto, Jing Cao, Chang Hwa Jung, Do‐Hyung Kim, Young Mi Kim, Jie Shen, Feng Tang and Ping Chen and has published in prestigious journals such as Molecular Biology of the Cell, Zhongcaoyao and DOAJ (DOAJ: Directory of Open Access Journals).

In The Last Decade

Co-authorship network of co-authors of Chang Jun i

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Fields of papers citing papers by Chang Jun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chang Jun

Since Specialization

Citations

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