Curtis A. Machida

2.7k citations
59 papers · 2.2k indexed · 1 hit paper · h-index 23
Topics
Receptor Mechanisms and Signaling (21 papers)Virus-based gene therapy research (12 papers)Oral microbiology and periodontitis research (12 papers)

In The Last Decade

Curtis A. Machida

59 papers receiving 2.1k citations

Hit Papers

Cloning and expression of a rat D2 dopamine receptor cDNA19882026200020131988250500750

Peers

Curtis A. Machida
Comparison fields: 5 of 114
  • Molecular Biology 1.3k
  • Cellular and Molecular Neuroscience 901
  • Genetics 277
  • Physiology 202
  • Epidemiology 180
Replace Teng Chen with:
Teng Chen China
Javier S. Burgos Spain
John J. Mooney United States
Yasuhiro Yamamura United States
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Edward Mee New Zealand
Natalio Vita France
Jane E. Libbey United States
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Curtis A. Machida relative to Teng Chen China Teng Chen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Curtis A. Machida

Since Specialization
Citations

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

Fields of papers citing papers by Curtis A. Machida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Curtis A. Machida. 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 Curtis A. Machida. The network helps show where Curtis A. Machida may publish in the future.

Co-authorship network of co-authors of Curtis A. Machida

This figure shows the co-authorship network connecting the top 25 collaborators of Curtis A. Machida. A scholar is included among the top collaborators of Curtis A. Machida 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 Curtis A. Machida. Curtis A. Machida 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 3
2 37
3
Elastomeric-ligated vs self-ligating appliances: a pilot study examining microbial colonization and white spot lesion formation after 1 year of orthodontic treatment.
22
4 18
5 2
6 1
7 2
8 6
9 12
10 3
11 25
12 17
13 28
14 4
15 12
16 12
17 34
18 5
19
Cloning and expression of a rat D2 dopamine receptor cDNAbreakdown →
921
20 13

About Curtis A. Machida

Curtis A. Machida is a scholar working on Periodontics, Virology and General Dentistry, having authored 59 papers that have together received 2.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (21 papers), Virus-based gene therapy research (12 papers) and Oral microbiology and periodontitis research (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (901 citations), Periodontics (178 citations) and Virology (123 citations). Curtis A. Machida has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include James R. Bunzow, Olivier Civelli, Kim A. Neve, David K. Grandy, John Salon, Paul R. Albert, Hubert H.M. Van Tol, MacDonald J. Christie, David Kabat and Richard K. Bestwick. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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