Patrick P. Chang

488 citations
13 papers · 391 · h-index 10

Impact in

  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
    • Escherichia coli research studies

Papers in

    • Ion channel regulation and function 2
    • Receptor Mechanisms and Signaling 2
    • Endoplasmic Reticulum Stress and Disease 3

Patrick P. Chang

13 papers receiving 378 citations

Peers

Patrick P. Chang
Comparison fields: 5 of 58
  • Physiology 75
  • Endocrinology 79
  • Cell Biology 108
  • Immunology 119
  • Molecular Biology 218
Replace Joel Moss with:
Joel Moss United States
María I. Colombo Argentina
Susan Wimer-Mackin United States
Stefan Schoebel Germany
D. McCool Canada
Giuliana Catara Italy
Karthik Maddi Germany
Irantzu Tato Spain
Danièle Stalder United States
M. Yamasaki Japan
Patrick P. Chang relative to Joel Moss United States Joel Moss's profile →
Citations per field
00.5×
Joel Moss · 1×
Citations per year

Countries citing papers authored by Patrick P. Chang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Patrick P. Chang Line = papers co-authored together Patrick P. Chang links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1988112
2 198261
3 199150
4 199140
5 198730
6 198428
7 198818
8 201016
9 198714
10 19839
11 19936
12 19824
13 19833

About Patrick P. Chang

Patrick P. Chang is a scholar working on Molecular Biology, Cell Biology, Immunology, Genetics and Surgery, having authored 13 papers that have together received 391 indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (4 papers), Bacterial Genetics and Biotechnology (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Pancreatic function and diabetes (2 papers), Ion channel regulation and function (2 papers), PARP inhibition in cancer therapy (2 papers), Escherichia coli research studies (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Physiology (75 citations), Endocrinology (79 citations), Cell Biology (108 citations), Immunology (119 citations) and Molecular Biology (218 citations). Patrick P. Chang has collaborated with scholars based in United States. Frequent co-authors include Joel Moss, Ronald Adamik, M Vaughan, S C Tsai, Masatoshi Noda, Peter H. Fishman, Shouki Kassis, E M Twiddy, Jörg Hagmann and Yasunori Kanaho. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Journal of Clinical Investigation, Biochemical and Biophysical Research Communications 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.

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