William C. Chang

1.1k citations
13 papers · 258 · h-index 9

Impact in

  • Physiology top 5%
    • Adenosine and Purinergic Signaling
    • Calcium signaling and nucleotide metabolism
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

William C. Chang

12 papers receiving 253 citations

Peers

William C. Chang
Comparison fields: 5 of 69
  • Physiology 65
  • Hematology 25
  • Cell Biology 36
  • Molecular Biology 136
  • Immunology 36
Replace Nadire R. Cochran with:
Nadire R. Cochran Switzerland
Kye Sook Yi South Korea
Ronald G. Stanley United Kingdom
Masashi Gohda Japan
Sandra Kissing Germany
Gregory M. Frechette United States
L. Michael Thomas United States
Amina Lazrak United States
Morio Higuchi Japan
Evelien G. G. Sprenkeler Netherlands
William C. Chang relative to Nadire R. Cochran Switzerland Nadire R. Cochran's profile →
Citations per field
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Nadire R. Cochran · 1×
Citations per year

Countries citing papers authored by William C. Chang

Since Specialization
Citations

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

Fields of papers citing papers by William C. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside William C. 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 William C. Chang Line = papers co-authored together William C. Chang links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 200861
2 202153
3 201336
4 201233
5 201127
6 201613
7 20239
8 20208
9 20158
10 20206
11 20212
12 20231
13
Growing Pains: The Role of Regulation in the Collaborative Economy
20151

About William C. Chang

William C. Chang is a scholar working on Molecular Biology, Hematology, Physiology, Cell Biology and Immunology, having authored 13 papers that have together received 258 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (4 papers), Sphingolipid Metabolism and Signaling (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Adenosine and Purinergic Signaling (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Sharing Economy and Platforms (1 paper), Transportation and Mobility Innovations (1 paper) and Biosimilars and Bioanalytical Methods (1 paper). The work is most often cited by research in Physiology (65 citations), Hematology (25 citations), Cell Biology (36 citations), Molecular Biology (136 citations) and Immunology (36 citations). William C. Chang has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Enrique M. De La Cruz, Demetrios T. Braddock, Lauren P. Saunders, Wenxiang Cao, Ronald A. Albright, Raj N. Misra, Mikhail V. Ovanesov, Deborah L. Ornstein, Shikha Shrivastava and Wei‐Hung Chen. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, Pharmaceutics, Research and Practice in Thrombosis and Haemostasis and Arteriosclerosis Thrombosis and Vascular Biology.

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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