Cheng‐Ming Chang

507 citations
8 papers · 467 · h-index 5

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Genomics and Chromatin Dynamics
    • Nuclear Structure and Function

Papers in

Cheng‐Ming Chang

8 papers receiving 447 citations

Peers

Cheng‐Ming Chang
Comparison fields: 5 of 71
  • Virology 44
  • Molecular Biology 335
  • Genetics 48
  • Cell Biology 52
  • Epidemiology 57
Replace Alistair R. McNab with:
Alistair R. McNab United States
Lucille D. Fresco United States
E. S. Ioudinkova Russia
Sharmina Miller-Randolph United States
Jean A. Smith United States
David Enshell‐Seijffers Israel
Roger Ollo France
Margarida Gama‐Carvalho Portugal
Marc S. Krug United States
Hélène Gallinaro France
Cheng‐Ming Chang relative to Alistair R. McNab United States Alistair R. McNab's profile →
Citations per field
00.5×
Alistair R. McNab · 1×
Citations per year

Countries citing papers authored by Cheng‐Ming Chang

Since Specialization
Citations

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

Fields of papers citing papers by Cheng‐Ming Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng‐Ming 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 Cheng‐Ming Chang. The network helps show where Cheng‐Ming Chang may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 1991300
2 197371
3 198659
4 200616
5 198515
6 19904
7 19871
8 19901

About Cheng‐Ming Chang

Cheng‐Ming Chang is a scholar working on Molecular Biology, Infectious Diseases, Surgery, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 8 papers that have together received 467 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (1 paper), Estrogen and related hormone effects (1 paper), Protein purification and stability (1 paper), Organ and Tissue Transplantation Research (1 paper), RNA and protein synthesis mechanisms (1 paper), Bee Products Chemical Analysis (1 paper), Renal Transplantation Outcomes and Treatments (1 paper) and T-cell and Retrovirus Studies (1 paper). The work is most often cited by research in Virology (44 citations), Molecular Biology (335 citations), Genetics (48 citations), Cell Biology (52 citations) and Epidemiology (57 citations). Cheng‐Ming Chang has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Ivan Raška, Eng M. Tan, Göran Roos, Robert Ochs, Luís Eduardo Coelho Andrade, Edward K. L. Chan, Edward S. Mocarski, Milan Fiala, Lawrence A. Cone and Robert D. Goldman. Their work appears in journals such as Microsurgery, Analytical Biochemistry, Experimental Cell Research, Novartis Foundation symposium and Journal of the Science of Food and Agriculture.

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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