David G. Campbell

1.3k citations
10 papers · 1.1k indexed · h-index 9
Topics
Protein Kinase Regulation and GTPase Signaling (3 papers)Mitochondrial Function and Pathology (3 papers)Ion channel regulation and function (2 papers)
Partner nations
United KingdomNorway

In The Last Decade

David G. Campbell

10 papers receiving 1.1k citations

Peers

David G. Campbell
Comparison fields: 5 of 90
  • Molecular Biology 796
  • Immunology 212
  • Cell Biology 181
  • Cellular and Molecular Neuroscience 91
  • Oncology 88
Replace Martin Spitaler with:
Martin Spitaler Austria
A. Lazaris-Karatzas Canada
M J Clemens United Kingdom
Wade Edris United States
Patrick Fadden United States
Michel G. Tremblay Canada
Maria Hackett United States
Abul Arif United States
Tina Rich United Kingdom
Masataka Horiuchi Japan
David G. Campbell relative to Martin Spitaler Austria Martin Spitaler's profile →
Citations per field
00.5×1.6×
Martin Spitaler · 1×
Citations per year

Countries citing papers authored by David G. Campbell

Since Specialization
Citations

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

Fields of papers citing papers by David G. Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Campbell

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 229
2 114
3 49
4 50
5 59
6 438
7 74
8 5
9 19
10 98

About David G. Campbell

David G. Campbell is a scholar working on Endocrinology, Microbiology and Cell Biology, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (3 papers), Mitochondrial Function and Pathology (3 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Molecular Biology (796 citations), Cell Biology (181 citations) and Immunology (212 citations). David G. Campbell has collaborated with scholars based in United Kingdom and Norway. Frequent co-authors include Sara Nakielny, Patricia T.W. Cohen, David Stokoe, C. J. Marshall, Hisashi Hidaka, Sally J. Leevers, Colin Watts, Antonio Lanzavecchia, Neil F. Fairweather and Philip Cohen. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The EMBO Journal.

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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