Casey M. Campbell

655 citations
11 papers · 534 indexed · h-index 7
Topics
Conducting polymers and applications (3 papers)Organic Electronics and Photovoltaics (3 papers)Bone Tissue Engineering Materials (2 papers)
Journals
SHILAP Revista de lepidopterologíaMacromoleculesThe Journal of Physical Chemistry C

In The Last Decade

Casey M. Campbell

11 papers receiving 521 citations

Peers

Casey M. Campbell
Comparison fields: 5 of 95
  • Molecular Biology 152
  • Materials Chemistry 117
  • Computational Theory and Mathematics 115
  • Electrical and Electronic Engineering 107
  • Biomedical Engineering 102
Replace Valery Polyakov with:
Valery Polyakov United States
Otilia Koo United States
Britta Lindholm‐Sethson Sweden
Laixue Pang China
Karine Mondon Switzerland
Ed E. Moret Netherlands
Rune A. Hartvig Denmark
Jia Luo China
Ravi Kumar India
Ajay J. Khopade India
Casey M. Campbell relative to Valery Polyakov United States Valery Polyakov's profile →
Citations per field
00.5×5.6×
Valery Polyakov · 1×
Citations per year

Countries citing papers authored by Casey M. Campbell

Since Specialization
Citations

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

Fields of papers citing papers by Casey M. Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Casey M. Campbell. 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 Casey M. Campbell. The network helps show where Casey M. Campbell may publish in the future.

Co-authorship network of co-authors of Casey M. Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of Casey M. Campbell. A scholar is included among the top collaborators of Casey M. Campbell 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 Casey M. Campbell. Casey M. Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 22
2 6
3 62
4 6
5
Reconstructive surgical management of a recurrent odontogenic keratocyst: case report and 1-year follow-up.
1
6
Necrotizing ulcerative gingivitis: a discussion of four dissimilar presentations.
5
7 173
8 136
9 9
10 11
11 103

About Casey M. Campbell

Casey M. Campbell is a scholar working on Anatomy, Oral Surgery and Dermatology, having authored 11 papers that have together received 534 indexed citations. Recurring topics across this work include Conducting polymers and applications (3 papers), Organic Electronics and Photovoltaics (3 papers) and Bone Tissue Engineering Materials (2 papers). The work is most often cited by research in Computational Theory and Mathematics (115 citations), Polymers and Plastics (78 citations) and Orthodontics (24 citations). Casey M. Campbell has collaborated with scholars based in United States, Ireland and Belarus. Frequent co-authors include Geoffrey Hutchison, Noel M. O’Boyle, David E. Deas, Samuele Tosatti, James Simpson, Percy Calvo‐Marzal, Z. Schwartz, Christoph H. Lohmann, Marcus Textor and Barbara D. Boyan. Their work appears in journals such as SHILAP Revista de lepidopterología, Macromolecules and The Journal of Physical Chemistry C.

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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