David T. Chang

9.4k citations
69 papers · 7.4k indexed · 2 hit papers · h-index 24
Topics
Acoustic Wave Resonator Technologies (18 papers)Advanced MEMS and NEMS Technologies (17 papers)Mechanical and Optical Resonators (10 papers)

In The Last Decade

David T. Chang

66 papers receiving 7.2k citations

Hit Papers

Foreign body reaction to biomaterials19952026200520152008199510002.0k3.0k

Peers

David T. Chang
Comparison fields: 5 of 163
  • Molecular Biology 2.4k
  • Surgery 2.1k
  • Biomedical Engineering 1.9k
  • Biomaterials 1.2k
  • Cellular and Molecular Neuroscience 664
Replace Robert A. Brown with:
Robert A. Brown United Kingdom
Osamu Ishida Japan
Mitsuo Ochi Japan
Mark A. Randolph United States
Bjørn R. Olsen United States
Marcel Karperien Netherlands
Yuji Mishina United States
Frank P. Luyten Belgium
Matthias Chiquet Switzerland
Kenichi Shinomiya Japan
David T. Chang relative to Robert A. Brown United Kingdom Robert A. Brown's profile →
Citations per field
00.5×1.5×
Robert A. Brown · 1×
Citations per year

Countries citing papers authored by David T. Chang

Since Specialization
Citations

This map shows the geographic impact of David T. 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 David T. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Chang more than expected).

Fields of papers citing papers by David T. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David T. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of David T. Chang. A scholar is included among the top collaborators of David T. Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David T. Chang. David T. Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 18
2 19
3 2
4 88
5 43
6 81
7 87
8 7
9 8
10 35
11 143
12 24
13 13
14 9
15
Floor plate and motor neuron induction by different concentrations of the amino-terminal cleavage product of sonic hedgehog autoproteolysisbreakdown →
739
16 407
17 299
18 173
19 69
20 44

About David T. Chang

David T. Chang is a scholar working on Urology, Biomedical Engineering and Obstetrics and Gynecology, having authored 69 papers that have together received 7.4k indexed citations. Recurring topics across this work include Acoustic Wave Resonator Technologies (18 papers), Advanced MEMS and NEMS Technologies (17 papers) and Mechanical and Optical Resonators (10 papers). The work is most often cited by research in Biomaterials (1.2k citations), Developmental Biology (183 citations) and Developmental Neuroscience (330 citations). David T. Chang has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include James M. Anderson, Analiz Rodriguez, Philip A. Beachy, Jeffery A. Porter, Chin Chiang, Thomas M. Jessell, Yasuto Tanabe, Henk Roelink, Erica Colton and Terry W. Hensle. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Neuron.

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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