Hailing Jin

About

Hailing Jin is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Hailing Jin has authored 11 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 5 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Hailing Jin’s work include Lung Cancer Treatments and Mutations (5 papers), Cancer Genomics and Diagnostics (4 papers) and Genetic Associations and Epidemiology (2 papers). Hailing Jin is often cited by papers focused on Lung Cancer Treatments and Mutations (5 papers), Cancer Genomics and Diagnostics (4 papers) and Genetic Associations and Epidemiology (2 papers). Hailing Jin collaborates with scholars based in United States, United Kingdom and China. Hailing Jin's co-authors include Peilin Jia, William Pao, Zhongming Zhao, Junfeng Xia, Timothy M. Shaver, Jennifer A. Pietenpol, A. John Iafrate, Mari Mino‐Kenudson, Long P. Le and Jeffrey A. Engelman and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer Research.

In The Last Decade

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

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Fields of papers citing papers by Hailing Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hailing Jin

Since Specialization

Citations

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