James D. Chang

2.5k citations
55 papers · 1.7k indexed · h-index 19

Impact in

Papers in

James D. Chang

52 papers receiving 1.7k citations

Peers

James D. Chang
Comparison fields: 5 of 119
  • Cardiology and Cardiovascular Medicine 566
  • Molecular Medicine 78
  • Molecular Biology 729
  • Microbiology 57
  • Genetics 235
Replace Keding Cheng with:
Keding Cheng Canada
Anh Hoang Australia
Zhan Yang China
Oliver Drews Germany
Lokesh Gakhar United States
Wenjian Wang China
Carmine Mancone Italy
Edward N. Brody United States
M Maeda Japan
Stephanie Schulz United States
James D. Chang relative to Keding Cheng Canada Keding Cheng's profile →
Citations per field
00.5×4.4×
Keding Cheng · 1×
Citations per year

Countries citing papers authored by James D. Chang

Since Specialization
Citations

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

Fields of papers citing papers by James D. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20233
4 20216
5 20193
6 201723
7 201724
8 201718
9 20169
10 201615
11 201563
12 2014139
13 20132
14 201276
15 20114
16 20104
17 200859
18 1998147
19 199511
20
Molecular genetic analysis of protein kinase c pkc isoenzyme distribution in human platelets
19921

About James D. Chang

James D. Chang is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Molecular Medicine, Endocrinology and Biophysics, having authored 55 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (9 papers), Cardiac Valve Diseases and Treatments (9 papers), Cardiac pacing and defibrillation studies (7 papers), Bacterial Genetics and Biotechnology (7 papers), Bacteriophages and microbial interactions (6 papers), Cardiovascular Function and Risk Factors (5 papers), Cancer Treatment and Pharmacology (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (566 citations), Molecular Medicine (78 citations), Molecular Biology (729 citations), Microbiology (57 citations) and Genetics (235 citations). James D. Chang has collaborated with scholars based in United States, Israel and South Africa. Frequent co-authors include Sung Joon Kim, Manmilan Singh, Peter Zimetbaum, Lewis C. Cantley, Warren J. Manning, Elisa Ebrille, Jessica E. Hutti, Alex Toker, Derek W. Abbott and Peter Störz. Their work appears in journals such as Scientific Reports, Biochemistry, Applied and Environmental Microbiology, The Journal of Physical Chemistry B and Biochimica et Biophysica Acta (BBA) - Biomembranes.

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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