May Chang

17 papers and 505 indexed citations i.

About

May Chang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, May Chang has authored 17 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Oncology. Recurrent topics in May Chang’s work include Neuropeptides and Animal Physiology (6 papers), Peptidase Inhibition and Analysis (3 papers) and Mass Spectrometry Techniques and Applications (2 papers). May Chang is often cited by papers focused on Neuropeptides and Animal Physiology (6 papers), Peptidase Inhibition and Analysis (3 papers) and Mass Spectrometry Techniques and Applications (2 papers). May Chang collaborates with scholars based in United States, Switzerland and Italy. May Chang's co-authors include Rosalyn S. Yalow, John Eng, Yu‐Ching E. Pan, Masato Koreeda, Kazuki Nakanishi, Y C Pan, J D Hulmes, Shizuka Sasaki, Hui-Ju Hsu and Jeffrey D. Hulmes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Co-authorship network of co-authors of May Chang i

Fields of papers citing papers by May Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by May Chang

Since Specialization
Citations

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