Jun Da

29 papers and 685 indexed citations i.

About

Jun Da is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Jun Da has authored 29 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Pulmonary and Respiratory Medicine and 8 papers in Genetics. Recurrent topics in Jun Da’s work include Prostate Cancer Treatment and Research (8 papers), Estrogen and related hormone effects (8 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Jun Da is often cited by papers focused on Prostate Cancer Treatment and Research (8 papers), Estrogen and related hormone effects (8 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Jun Da collaborates with scholars based in China, United States and Taiwan. Jun Da's co-authors include Shuyuan Yeh, Mingxi Xu, Iawen Hsu, Zhong Wang, Spencer Slavin, Mujun Lu, Chiuan‐Ren Yeh, Meng Gu, Yiwei Wang and Wenfeng Li and has published in prestigious journals such as ACS Nano, Chemical Communications and The Journal of Urology.

In The Last Decade

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

Fields of papers citing papers by Jun Da

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Da

Since Specialization
Citations

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