Gang Dong

13 papers and 669 indexed citations i.

About

Gang Dong is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Gang Dong has authored 13 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cancer Research, 10 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Gang Dong’s work include Cancer-related molecular mechanisms research (6 papers), NF-κB Signaling Pathways (5 papers) and MicroRNA in disease regulation (5 papers). Gang Dong is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), NF-κB Signaling Pathways (5 papers) and MicroRNA in disease regulation (5 papers). Gang Dong collaborates with scholars based in United States, China and Japan. Gang Dong's co-authors include Carter Van Waes, Frank G. Ondrey, Zhong Chen, Dianne C. Duffey, Keith Brown, Ulrich Siebenlist, Jeffrey S. Wolf, John B. Sunwoo, Naofumi Mukaida and David A. Dichek and has published in prestigious journals such as Journal of Biological Chemistry, Clinical Cancer Research and British Journal of Cancer.

In The Last Decade

Co-authorship network of co-authors of Gang Dong i

Fields of papers citing papers by Gang Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gang Dong

Since Specialization
Citations

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