May Chang
Impact in
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- Neuropeptides and Animal Physiology
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- T-cell and B-cell Immunology
- interferon and immune responses
- Immunotherapy and Immune Responses
Papers in
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- Neuropeptides and Animal Physiology 6
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- Advanced Proteomics Techniques and Applications 2
- Mass Spectrometry Techniques and Applications 2
- Analytical Chemistry and Chromatography 1
- Co-authors
- Rosalyn S. Yalow (6 shared papers)John Eng (6 shared papers)Yu‐Ching E. Pan (4 shared papers)J D Hulmes (4 shared papers)Y.-C. E. Pan (4 shared papers)Jeffrey D. Hulmes (3 shared papers)J. Wideman (3 shared papers)S. B. Salvin (1 shared paper)
- Journals
- Life Sciences (2 papers)Archives of Biochemistry and Biophysics (2 papers)Library Hi Tech (2 papers)Peptides (2 papers)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
May Chang
12 papers receiving 359 citations
Peers
Comparison fields: 5 of 55
- Cellular and Molecular Neuroscience 205
- Immunology 61
- Microbiology 15
- Endocrine and Autonomic Systems 9
- Physiology 6
Countries citing papers authored by May Chang
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).
Fields of papers citing papers by May Chang
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.
Co-authors
The 23 scholars most cited alongside May Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 81 | |
| 2 | 1986 | 79 | |
| 3 | 1984 | 64 | |
| 4 | 1985 | 45 | |
| 5 | 1984 | 38 | |
| 6 | 1986 | 25 | |
| 7 | 1986 | 23 | |
| 8 | 1985 | 18 | |
| 9 | 2010 | 13 | |
| 10 | 1985 | 12 | |
| 11 | 1985 | 11 | |
| 12 | 2000 | 6 | |
| 13 | 1984 | 1 |
About May Chang
May Chang is a scholar working on Cellular and Molecular Neuroscience, Spectroscopy, Immunology, Conservation and Microbiology, having authored 13 papers that have together received 416 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), Advanced Proteomics Techniques and Applications (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Protein purification and stability (1 paper), Analytical Chemistry and Chromatography (1 paper), Antimicrobial Peptides and Activities (1 paper), Macrophage Migration Inhibitory Factor (1 paper) and Alkaline Phosphatase Research Studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (205 citations), Immunology (61 citations), Microbiology (15 citations), Endocrine and Autonomic Systems (9 citations) and Physiology (6 citations). May Chang has collaborated with scholars based in United States and Italy. Frequent co-authors include Rosalyn S. Yalow, John Eng, Yu‐Ching E. Pan, J D Hulmes, Y.-C. E. Pan, Jeffrey D. Hulmes, J. Wideman, S. B. Salvin, Jean‐Pierre Raufman and B.L. Horecker. Their work appears in journals such as Life Sciences, Archives of Biochemistry and Biophysics, Library Hi Tech, Peptides and Methods in enzymology on CD-ROM/Methods in enzymology.
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.