Matthew R. Duncan

4.1k citations
55 papers · 3.3k indexed · 1 hit paper · h-index 28
Topics
Skin and Cellular Biology Research (11 papers)Neonatal Respiratory Health Research (10 papers)Connective Tissue Growth Factor Research (9 papers)

In The Last Decade

Matthew R. Duncan

53 papers receiving 3.2k citations

Hit Papers

Connective tissue growth factor mediates transforming gro...19992026200820171999100200300400500

Peers

Matthew R. Duncan
Comparison fields: 5 of 138
  • Molecular Biology 1.1k
  • Dermatology 529
  • Pulmonary and Respiratory Medicine 529
  • Pathology and Forensic Medicine 479
  • Surgery 423
Replace Yasuyuki Fujita with:
Yasuyuki Fujita Japan
Sudeepta Aggarwal United States
Christian Beyer Germany
Cinzia Marchese Italy
Anh D. Le United States
Toshiyuki Yamamoto Japan
Malcolm Smith Australia
Salvador Arias‐Santiago Spain
Johannes M. Weiss Germany
Patricia A. Hebda United States
Matthew R. Duncan relative to Yasuyuki Fujita Japan Yasuyuki Fujita's profile →
Citations per field
00.5×1.6×
Yasuyuki Fujita · 1×
Citations per year

Countries citing papers authored by Matthew R. Duncan

Since Specialization
Citations

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

Fields of papers citing papers by Matthew R. Duncan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew R. Duncan. 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 Matthew R. Duncan. The network helps show where Matthew R. Duncan may publish in the future.

Co-authorship network of co-authors of Matthew R. Duncan

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew R. Duncan. A scholar is included among the top collaborators of Matthew R. Duncan 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 Matthew R. Duncan. Matthew R. Duncan 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 5
2 4
3 12
4 0
5 46
6 19
7 12
8 41
9 8
10 25
11 123
12 11
13 49
14
Nonradioactive gel mobility shift assay using chemiluminescent detection.
20
15 40
16 108
17 140
18 80
19 78
20 101

About Matthew R. Duncan

Matthew R. Duncan is a scholar working on Dermatology, Cell Biology and Rehabilitation, having authored 55 papers that have together received 3.3k indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (11 papers), Neonatal Respiratory Health Research (10 papers) and Connective Tissue Growth Factor Research (9 papers). The work is most often cited by research in Dermatology (529 citations), Rehabilitation (291 citations) and Urology (185 citations). Matthew R. Duncan has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Brian D. Berman, Gary R. Grotendorst, Brian Berman, S. Williams, Susan Abramson, Xinfan Huang, Ken Frazier, Helene Klapper, Stephan Lewandowsky and Unyime O. Nseyo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.

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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