D.C. Chang

18 papers receiving 732 citations

Peers

D.C. Chang
Comparison fields: 5 of 87
  • Endocrine and Autonomic Systems 282
  • Aging 57
  • Cellular and Molecular Neuroscience 297
  • Developmental Neuroscience 63
  • Immunology and Allergy 27
Replace Honda Naoki with:
Honda Naoki Japan
Asako Tsubouchi Japan
Marc Koch France
Hiroko Yukinaga Japan
Juan G. Cueva United States
M. Watanabe Japan
Daniel Dagan Israel
Tohru Yoshioka Japan
Kenichiro D. Uno Japan
Jason L. Nathanson United States
D.C. Chang relative to Honda Naoki Japan Honda Naoki's profile →
Citations per field
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Citations per year

Countries citing papers authored by D.C. Chang

Since Specialization
Citations

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

Fields of papers citing papers by D.C. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994133
2 2003110
3 200294
4 199587
5 199281
6 200363
7 200153
8 199636
9 200630
10 199415
11 200215
12 202210
13 197510
14 19817
15 20073
16 20053
17 19732
18 19842
19 19791
20 19730

About D.C. Chang

D.C. Chang is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Atomic and Molecular Physics, and Optics and Plant Science, having authored 21 papers that have together received 755 indexed citations. Recurring topics across this work include Electromagnetic Scattering and Analysis (5 papers), Circadian rhythm and melatonin (5 papers), Microwave Engineering and Waveguides (4 papers), Light effects on plants (4 papers), Electromagnetic Simulation and Numerical Methods (4 papers), Advanced Antenna and Metasurface Technologies (3 papers), Axon Guidance and Neuronal Signaling (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (282 citations), Aging (57 citations), Cellular and Molecular Neuroscience (297 citations), Developmental Neuroscience (63 citations) and Immunology and Allergy (27 citations). D.C. Chang has collaborated with scholars based in United States and Israel. Frequent co-authors include Steven M. Reppert, Oren Froy, Steven M. Reppert, G D Fischbach, Raya Eilam, Michal Schwartz, Sara Lavi, D Wen, Ronit Pinkas‐Kramarski and Yosef Yarden. Their work appears in journals such as Current Biology, IEEE Transactions on Microwave Theory and Techniques, Cold Spring Harbor Symposia on Quantitative Biology, Journal of Engineering Materials and Technology and Behavioural Processes.

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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