Mengping Long

32 papers and 273 indexed citations i.

About

Mengping Long is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Mengping Long has authored 32 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Mengping Long’s work include Breast Cancer Treatment Studies (7 papers), AI in cancer detection (5 papers) and HER2/EGFR in Cancer Research (4 papers). Mengping Long is often cited by papers focused on Breast Cancer Treatment Studies (7 papers), AI in cancer detection (5 papers) and HER2/EGFR in Cancer Research (4 papers). Mengping Long collaborates with scholars based in China, United States and Japan. Mengping Long's co-authors include Taobo Hu, Gary W. Ellison, Yiqiang Liu, Toyotaka Ishibashi, Songqing Fan, Yan Yan, Manjinder S. Cheema, Nicol Macpherson, Yuting Zhan and Sile Liu and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

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

Fields of papers citing papers by Mengping Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mengping Long

Since Specialization
Citations

This map shows the geographic impact of Mengping Long'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 Mengping Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengping Long 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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2025