Ray Chang

27 papers receiving 345 citations

Peers

Ray Chang
Comparison fields: 5 of 76
  • Catalysis 23
  • Biomaterials 42
  • Molecular Medicine 14
  • Hematology 27
  • Otorhinolaryngology 10
Replace Jeong Man An with:
Jeong Man An South Korea
Liting Zheng China
Han‐Yun Hsieh Taiwan
Xiaoli Yang China
Qinzhen Cheng China
Birendra Kumar Yadav India
Nisakorn Yodsanit United States
Stephanie Huth Germany
Shama Khokhar United States
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Citations per field
00.5×6.8×
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Citations per year

Countries citing papers authored by Ray Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ray Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201749
2
p16/p14(ARF) cell cycle regulatory pathways in primary neuroblastoma: p16 expression is associated with advanced stage disease.
200147
3
Universal inactivation of both p16 and p15 but not downstream components is an essential event in the pathogenesis of T-cell acute lymphoblastic leukemia.
200044
4 202142
5 201828
6 201224
7 201814
8 201714
9 201211
10 20078
11 20108
12
In vitro sensitivity of T-cell lymphoblastic leukemia to UCN-01 (7-hydroxystaurosporine) is dependent on p16 protein status: a Pediatric Oncology Group study.
20008
13 20237
14 20237
15 20235
16 20055
17 20085
18 20244
19 20184
20 20253

About Ray Chang

Ray Chang is a scholar working on Biomedical Engineering, Molecular Biology, Biomaterials, Oncology and Surgery, having authored 29 papers that have together received 351 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (3 papers), Cancer-related Molecular Pathways (3 papers), Cellular Mechanics and Interactions (3 papers), Nanoplatforms for cancer theranostics (3 papers), Microfluidic and Bio-sensing Technologies (2 papers), Catalysis and Hydrodesulfurization Studies (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers) and Catalytic Processes in Materials Science (2 papers). The work is most often cited by research in Catalysis (23 citations), Biomaterials (42 citations), Molecular Medicine (14 citations), Hematology (27 citations) and Otorhinolaryngology (10 citations). Ray Chang has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Wei‐Bor Tsai, Ibrahim Nasser Ahmed, Motoko Omura‐Minamisawa, Mitchell B. Diccianni, Yu‐Chuan Lin, Alice L. Yu, A. Batova, Jeanette Pullen, John Yu and W. B. London. Their work appears in journals such as Colloids and Surfaces B Biointerfaces, Journal of Fluid Mechanics, Industrial & Engineering Chemistry Research, International Journal of Molecular Medicine and Advances in experimental medicine and 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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