S-H Chang

833 citations
8 papers · 685 · h-index 7

Impact in

Papers in

    • PI3K/AKT/mTOR signaling in cancer 3
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Angiogenesis and VEGF in Cancer 1
    • RNA and protein synthesis mechanisms 1
    • Ion channel regulation and function 1
    • Mitochondrial Function and Pathology 1
    • Virus-based gene therapy research 3

S-H Chang

8 papers receiving 665 citations

Peers

S-H Chang
Comparison fields: 5 of 92
  • Cancer Research 139
  • Oncology 140
  • Biomaterials 63
  • Molecular Biology 303
  • Modeling and Simulation 18
Replace Dan G. Duda with:
Dan G. Duda United States
Clifton Stephens United States
Diana Behrens Germany
Shelly Maman Israel
A. Yu. Baryshnikov Russia
Jennifer Sims‐Mourtada United States
Anette Magnussen United Kingdom
Sandy Azzi France
Patrick Delavault France
Sharon A. Vantyghem Canada
S-H Chang relative to Dan G. Duda United States Dan G. Duda's profile →
Citations per field
00.5×1.5×
Dan G. Duda · 1×
Citations per year

Countries citing papers authored by S-H Chang

Since Specialization
Citations

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

Fields of papers citing papers by S-H Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S-H 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 S-H Chang. The network helps show where S-H Chang may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2009479
2
The role of ion shifts in cell injury.
197945
3 200844
4 200739
5 200739
6 200621
7 201313
8 19955

About S-H Chang

S-H Chang is a scholar working on Molecular Biology, Genetics, Surgery, Neurology and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 685 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (3 papers), Virus-based gene therapy research (3 papers), Sarcoma Diagnosis and Treatment (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Angiogenesis and VEGF in Cancer (1 paper), RNA and protein synthesis mechanisms (1 paper), Ion channel regulation and function (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Cancer Research (139 citations), Oncology (140 citations), Biomaterials (63 citations), Molecular Biology (303 citations) and Modeling and Simulation (18 citations). S-H Chang has collaborated with scholars based in United States and South Korea. Frequent co-authors include Harold F. Dvorak, Ann M. Dvořàk, Janice A. Nagy, I K Berezesky, George R. Beck, Tae Hee Kim, Kyung‐Ha Lee, Jongsun Park, Longzhen Piao and Nancy H. Colburn. Their work appears in journals such as Gene Therapy, Cancer Gene Therapy, British Journal of Cancer, Cell Calcium and PubMed.

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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