David Turnbull

238 total papers · 3.9k total citations
111 papers, 2.2k citations indexed

About

David Turnbull is a scholar working on Dermatology, Health, Toxicology and Mutagenesis and Global and Planetary Change. According to data from OpenAlex, David Turnbull has authored 111 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Dermatology, 16 papers in Health, Toxicology and Mutagenesis and 11 papers in Global and Planetary Change. Recurrent topics in David Turnbull's work include Skin Protection and Aging (27 papers), Climate Change and Health Impacts (10 papers) and Vitamin D Research Studies (8 papers). David Turnbull is often cited by papers focused on Skin Protection and Aging (27 papers), Climate Change and Health Impacts (10 papers) and Vitamin D Research Studies (8 papers). David Turnbull collaborates with scholars based in Australia, United States and United Kingdom. David Turnbull's co-authors include Alfio V. Parisi, Frederick Seitz, H. M. Otte, Howard T. Jacobs, Peter Schouten, Michael G. Kimlin, B. W. Roberts, Joanna Turner, Nathan Downs and Jeff Sabburg and has published in prestigious journals such as Contemporary Sociology A Journal of Reviews, Journal of Applied Physics and Physics Today.

In The Last Decade

David Turnbull

100 papers receiving 2.0k citations

Hit Papers

Solid State Physics: Adva... 1966 2026 1986 2006 1966 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Turnbull 296 280 273 234 227 111 2.2k
P. T. Baker 21 0.1× 67 0.2× 123 0.5× 23 0.1× 108 0.5× 84 2.4k
Stephen B. Jones 23 0.1× 72 0.3× 255 0.9× 47 0.2× 11 0.0× 105 2.2k
E. N. Anderson 30 0.1× 46 0.2× 156 0.6× 37 0.2× 23 0.1× 36 2.7k
Stephen Carter 95 0.3× 40 0.1× 169 0.6× 21 0.1× 30 0.1× 182 2.3k
Robert Ε. Kohler 7 0.0× 217 0.8× 225 0.8× 168 0.7× 12 0.1× 143 3.3k
Xiangming Chen 54 0.2× 240 0.9× 313 1.1× 10 0.0× 18 0.1× 127 1.6k
Stephen Conway 7 0.0× 526 1.9× 245 0.9× 14 0.1× 62 0.3× 62 2.8k
Hans‐Jörg Rheinberger 187 0.6× 18 0.1× 348 1.3× 67 0.3× 14 0.1× 212 3.1k
John  10 0.0× 64 0.2× 599 2.2× 19 0.1× 53 0.2× 332 3.0k
John Edward Gray 14 0.0× 82 0.3× 124 0.5× 8 0.0× 40 0.2× 174 2.1k

Countries citing papers authored by David Turnbull

Since Specialization
Citations

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

Fields of papers citing papers by David Turnbull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Turnbull

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

All Works

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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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