David S. Turner
- Plant Science top 5%
- Molecular Biology
- General Economics, Econometrics and Finance top 5%
- Economics and Econometrics top 10%
- Endocrinology top 5%
- Co-authors
- Simon N. CoveyNadia S. Al‐KaffKenneth F. WallisSailesh TannaJohn M. PowersJohn D. WhitleySimon C. WatkinsMinzhi Chen
- Topics
- Plant Virus Research Studies (14 papers)Monetary Policy and Economic Impact (9 papers)Chromosomal and Genetic Variations (7 papers)
- Partner nations
- United KingdomUnited States
In The Last Decade
David S. Turner
30 papers receiving 839 citations
Peers
Comparison fields: 5 of 107
- Plant Science 404
- Molecular Biology 246
- General Economics, Econometrics and Finance 142
- Economics and Econometrics 140
- Endocrinology 104
Countries citing papers authored by David S. Turner
This map shows the geographic impact of David S. Turner'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 S. Turner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Turner more than expected).
Fields of papers citing papers by David S. Turner
This network shows the impact of papers produced by David S. Turner. 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 S. Turner. The network helps show where David S. Turner may publish in the future.
Co-authorship network of co-authors of David S. Turner
This figure shows the co-authorship network connecting the top 25 collaborators of David S. Turner. A scholar is included among the top collaborators of David S. Turner 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 S. Turner. David S. Turner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 6 | |
| 3 | 9 | |
| 4 | 12 | |
| 5 | 69 | |
| 6 | 284 | |
| 7 | 145 | |
| 8 | 18 | |
| 9 | 8 | |
| 10 | 11 | |
| 11 | 12 | |
| 12 | 5 | |
| 13 | 25 | |
| 14 | 50 | |
| 15 | 16 | |
| 16 | 8 | |
| 17 | 15 | |
| 18 | 20 | |
| 19 | 20 | |
| 20 | Importance of the Ascaridia galli egg shell to the infectivity of its larvae. | 1 |
About David S. Turner
David S. Turner is a scholar working on General Economics, Econometrics and Finance, Endocrinology and Complementary and Manual Therapy, having authored 32 papers that have together received 915 indexed citations. Recurring topics across this work include Plant Virus Research Studies (14 papers), Monetary Policy and Economic Impact (9 papers) and Chromosomal and Genetic Variations (7 papers). The work is most often cited by research in Endocrinology (104 citations), General Dentistry (34 citations) and General Economics, Econometrics and Finance (142 citations). David S. Turner has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Simon N. Covey, Nadia S. Al‐Kaff, Kenneth F. Wallis, Sailesh Tanna, John M. Powers, John D. Whitley, Simon C. Watkins, Minzhi Chen, Joanne K. Schiding and Robert S. B. Clark. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.