Scott G. Canfield

2.3k total citations
30 papers, 1.6k citations indexed

About

Scott G. Canfield is a scholar working on Molecular Biology, Neurology and Developmental Neuroscience. According to data from OpenAlex, Scott G. Canfield has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Neurology and 9 papers in Developmental Neuroscience. Recurrent topics in Scott G. Canfield's work include Pluripotent Stem Cells Research (11 papers), Barrier Structure and Function Studies (8 papers) and 3D Printing in Biomedical Research (5 papers). Scott G. Canfield is often cited by papers focused on Pluripotent Stem Cells Research (11 papers), Barrier Structure and Function Studies (8 papers) and 3D Printing in Biomedical Research (5 papers). Scott G. Canfield collaborates with scholars based in United States, Sweden and Mexico. Scott G. Canfield's co-authors include Sean P. Palecek, Eric V. Shusta, Matthew J. Stebbins, Xiaowen Bai, Zeljko J. Bosnjak, Hannah K. Wilson, Tongcheng Qian, Chika Kikuchi, Ivan Žaja and Yasheng Yan and has published in prestigious journals such as Development, The FASEB Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Scott G. Canfield

28 papers receiving 1.6k citations

Peers

Scott G. Canfield
Comparison fields: 5 of 94
  • Molecular Biology 782
  • Neurology 572
  • Biomedical Engineering 366
  • Developmental Neuroscience 339
  • Cellular and Molecular Neuroscience 255
Replace Liu‐Lin Xiong with:
Liu‐Lin Xiong China
Yao Yao United States
Maureen Walberer Germany
Masahito Kawabori Japan
Lixian Xu China
Yasukazu Terasaki Japan
Per Almqvist Sweden
Yue Qin China
Peter S. Vosler United States
Liu‐Lin Xiong China View profile →
Citations per field, relative to Scott G. Canfield
Scott G. Canfield · 1×
Citations per year, relative to Scott G. Canfield
Scott G. Canfield · 1×

Countries citing papers authored by Scott G. Canfield

Since Specialization
Citations

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

Fields of papers citing papers by Scott G. Canfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott G. Canfield. 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 Scott G. Canfield. The network helps show where Scott G. Canfield may publish in the future.

Co-authorship network of co-authors of Scott G. Canfield

This figure shows the co-authorship network connecting the top 25 collaborators of Scott G. Canfield. A scholar is included among the top collaborators of Scott G. Canfield 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 Scott G. Canfield. Scott G. Canfield 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
# Work Indexed citations
1 1
2 0
3 6
4 8
5 1
6 2
7 17
8 1
9 6
10 95
11 79
12 173
13 119
14 23
15 60
16 117
17 57
18 160
19 36
20 71

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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