J Mao

About

J Mao is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, J Mao has authored 5 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Physiology, 1 paper in Molecular Biology and 1 paper in Epidemiology. Recurrent topics in J Mao’s work include Pain Mechanisms and Treatments (2 papers), EEG and Brain-Computer Interfaces (1 paper) and Cancer Treatment and Pharmacology (1 paper). J Mao is often cited by papers focused on Pain Mechanisms and Treatments (2 papers), EEG and Brain-Computer Interfaces (1 paper) and Cancer Treatment and Pharmacology (1 paper). J Mao collaborates with scholars based in United States. J Mao's co-authors include Donald D. Price, D.J. Mayer, Seiji Nishino, David J. Mayer, Randal A. Skidgel, Andrea Blöchl, Scott Balsitis, David Schacht, Robert P. Becker and Fulong Tan and has published in prestigious journals such as Journal of Neuroscience, Biochemical Journal and Fibrinolysis and Proteolysis.

In The Last Decade

Co-authorship network of co-authors of J Mao i

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Fields of papers citing papers by J Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by J Mao

Since Specialization

Citations

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