Patrick P. Chang
Impact in
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
- Endocrinology top 5%
- Escherichia coli research studies
Papers in
-
- Adenosine and Purinergic Signaling 2
- Calcium signaling and nucleotide metabolism 2
-
- Endoplasmic Reticulum Stress and Disease 3
- Co-authors
- Joel Moss (12 shared papers)Ronald Adamik (6 shared papers)Malcolm J. Vaughan (3 shared papers)Su Chen Tsai (5 shared papers)Masatoshi Noda (2 shared papers)Peter H. Fishman (2 shared papers)Edda M. Twiddy (2 shared papers)Jörg Hagmann (1 shared paper)
- Journals
- Journal of Biological Chemistry (6 papers)Biochemistry (2 papers)Infection and Immunity (1 paper)Journal of Clinical Investigation (1 paper)Journal of Pediatric Hematology/Oncology (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Patrick P. Chang
14 papers receiving 415 citations
Peers
Comparison fields: 5 of 59
- Physiology 84
- Endocrinology 92
- Cell Biology 125
- Immunology 127
- Molecular Biology 241
Countries citing papers authored by Patrick P. Chang
This map shows the geographic impact of Patrick P. 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 Patrick P. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick P. Chang more than expected).
Fields of papers citing papers by Patrick P. Chang
This network shows the impact of papers produced by Patrick P. 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 Patrick P. Chang. The network helps show where Patrick P. Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick P. 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 | 1988 | 127 | |
| 2 | 1982 | 66 | |
| 3 | 1991 | 53 | |
| 4 | 1991 | 47 | |
| 5 | 1987 | 36 | |
| 6 | 1984 | 27 | |
| 7 | 1988 | 21 | |
| 8 | 2010 | 17 | |
| 9 | 1987 | 15 | |
| 10 | 1983 | 10 | |
| 11 | 1993 | 10 | |
| 12 | 1982 | 6 | |
| 13 | 1983 | 4 | |
| 14 | 1989 | 1 |
About Patrick P. Chang
Patrick P. Chang is a scholar working on Physiology, Cell Biology, Immunology, Endocrinology and Genetics, having authored 14 papers that have together received 440 indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (4 papers), Pancreatic function and diabetes (3 papers), Bacterial Genetics and Biotechnology (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Escherichia coli research studies (2 papers), Adenosine and Purinergic Signaling (2 papers), Calcium signaling and nucleotide metabolism (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Physiology (84 citations), Endocrinology (92 citations), Cell Biology (125 citations), Immunology (127 citations) and Molecular Biology (241 citations). Patrick P. Chang has collaborated with scholars based in United States and Japan. Frequent co-authors include Joel Moss, Ronald Adamik, Malcolm J. Vaughan, Su Chen Tsai, Masatoshi Noda, Peter H. Fishman, Edda M. Twiddy, Jörg Hagmann, Shouki Kassis and Yasunori Kanaho. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Infection and Immunity, Journal of Clinical Investigation and Journal of Pediatric Hematology/Oncology.
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.