D. Asplin

441 total citations
9 papers, 329 citations indexed

About

D. Asplin is a scholar working on Clinical Biochemistry, Physiology and Rheumatology. According to data from OpenAlex, D. Asplin has authored 9 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Clinical Biochemistry, 6 papers in Physiology and 3 papers in Rheumatology. Recurrent topics in D. Asplin's work include Metabolism and Genetic Disorders (9 papers), Diet and metabolism studies (6 papers) and Muscle metabolism and nutrition (3 papers). D. Asplin is often cited by papers focused on Metabolism and Genetic Disorders (9 papers), Diet and metabolism studies (6 papers) and Muscle metabolism and nutrition (3 papers). D. Asplin collaborates with scholars based in United Kingdom and United States. D. Asplin's co-authors include Anita MacDonald, G Rylance, S. K. Hall, I W Booth, Paul Davies, Anne Daly, P.H. O'Connor Davies, Gillian Harris, Anupam Chakrapani and Christian J. Hendriksz and has published in prestigious journals such as Archives of Disease in Childhood, Journal of Inherited Metabolic Disease and Journal of Human Nutrition and Dietetics.

In The Last Decade

D. Asplin

9 papers receiving 321 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. Asplin United Kingdom 9 302 231 102 74 56 9 329
Catherine Ashmore United Kingdom 12 255 0.8× 202 0.9× 115 1.1× 45 0.6× 49 0.9× 47 332
K Motzfeldt Norway 11 361 1.2× 227 1.0× 192 1.9× 40 0.5× 88 1.6× 17 395
Hülya Gökmen Özel Türkiye 9 250 0.8× 186 0.8× 130 1.3× 28 0.4× 65 1.2× 32 312
Sally T. Gleason United States 7 314 1.0× 266 1.2× 162 1.6× 58 0.8× 61 1.1× 8 381
Alex Pinto United Kingdom 15 424 1.4× 334 1.4× 195 1.9× 75 1.0× 78 1.4× 52 501
Martine Robert Belgium 10 199 0.7× 188 0.8× 91 0.9× 29 0.4× 40 0.7× 15 292
Maria Nowacka Poland 9 322 1.1× 202 0.9× 169 1.7× 21 0.3× 96 1.7× 28 366
Adrya Stembridge United States 5 287 1.0× 110 0.5× 155 1.5× 42 0.6× 60 1.1× 8 323
Ana Lúcia Pimenta Starling Brazil 12 190 0.6× 82 0.4× 116 1.1× 24 0.3× 79 1.4× 28 278
Judy Nation Australia 8 189 0.6× 211 0.9× 61 0.6× 18 0.2× 24 0.4× 9 275

Countries citing papers authored by D. Asplin

Since Specialization
Citations

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

Fields of papers citing papers by D. Asplin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Asplin

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

All Works

9 of 9 papers shown
1.
MacDonald, Anita, Paul Davies, Anne Daly, et al.. (2008). Does maternal knowledge and parent education affect blood phenylalanine control in phenylketonuria?. Journal of Human Nutrition and Dietetics. 21(4). 351–358. 41 indexed citations
2.
MacDonald, Anita & D. Asplin. (2006). Phenylketonuria: practical dietary management.. PubMed. 16(3). 83–5. 11 indexed citations
3.
MacDonald, Anita, Anne Daly, P.H. O'Connor Davies, et al.. (2004). Protein substitutes for PKU: What's new?. Journal of Inherited Metabolic Disease. 27(3). 363–371. 30 indexed citations
4.
MacDonald, Anita, M. Lilburn, Barbara Cochrane, et al.. (2004). A new, low‐volume protein substitute for teenagers and adults with phenylketonuria. Journal of Inherited Metabolic Disease. 27(2). 127–135. 20 indexed citations
5.
MacDonald, Anita, G Rylance, Paul Davies, et al.. (2003). Administration of protein substitute and quality of control in phenylketonuria: A randomized study. Journal of Inherited Metabolic Disease. 26(4). 319–326. 45 indexed citations
6.
Rylance, G, et al.. (2003). Free use of fruits and vegetables in phenylketonuria. Journal of Inherited Metabolic Disease. 26(4). 327–338. 29 indexed citations
7.
MacDonald, Anita, G Rylance, D. Asplin, S. K. Hall, & I W Booth. (1998). Does a single plasma phenylalanine predict quality of control in phenylketonuria?. Archives of Disease in Childhood. 78(2). 122–126. 35 indexed citations
8.
MacDonald, Anita, Gillian Harris, G Rylance, D. Asplin, & I W Booth. (1997). Abnormal feeding behaviours in phenylketonuria. Journal of Human Nutrition and Dietetics. 10(3). 163–170. 51 indexed citations
9.
MacDonald, Anita, G Rylance, S. K. Hall, D. Asplin, & I W Booth. (1996). Factors affecting the variation in plasma phenylalanine in patients with phenylketonuria on diet.. Archives of Disease in Childhood. 74(5). 412–417. 67 indexed citations

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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