Ian J. Griffin

5.4k total citations
99 papers, 3.9k citations indexed

About

Ian J. Griffin is a scholar working on Nutrition and Dietetics, Hematology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Ian J. Griffin has authored 99 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Nutrition and Dietetics, 25 papers in Hematology and 23 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Ian J. Griffin's work include Infant Nutrition and Health (36 papers), Iron Metabolism and Disorders (25 papers) and Child Nutrition and Water Access (19 papers). Ian J. Griffin is often cited by papers focused on Infant Nutrition and Health (36 papers), Iron Metabolism and Disorders (25 papers) and Child Nutrition and Water Access (19 papers). Ian J. Griffin collaborates with scholars based in United States, United Kingdom and Canada. Ian J. Griffin's co-authors include Steven A. Abrams, Keli M. Hawthorne, Richard J. Cooke, Sheila Gunn, Lily K. Liang, Kenneth J. Ellis, Gretchen Darlington, Alexandre Lapillonne, Kenny McCormick and Zhensheng Chen and has published in prestigious journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism and PEDIATRICS.

In The Last Decade

Ian J. Griffin

97 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian J. Griffin United States 35 2.6k 931 770 452 450 99 3.9k
James K. Friel Canada 30 1.6k 0.6× 561 0.6× 371 0.5× 397 0.9× 175 0.4× 114 3.2k
Támas Décsi Hungary 38 3.6k 1.4× 1.4k 1.5× 509 0.7× 331 0.7× 252 0.6× 151 5.8k
Daniel J. Raiten United States 30 2.3k 0.9× 625 0.7× 165 0.2× 1.3k 2.8× 245 0.5× 80 4.7k
Laura S. Hillman United States 31 664 0.3× 655 0.7× 536 0.7× 224 0.5× 264 0.6× 72 3.0k
Walter Mihatsch Germany 20 1.1k 0.4× 334 0.4× 239 0.3× 195 0.4× 187 0.4× 60 2.3k
Dominique Darmaun France 44 2.6k 1.0× 1.2k 1.3× 860 1.1× 70 0.2× 322 0.7× 230 5.9k
Keli M. Hawthorne United States 24 1.5k 0.6× 234 0.3× 345 0.4× 85 0.2× 307 0.7× 60 2.4k
Patsy M. Brannon United States 24 1.9k 0.7× 610 0.7× 241 0.3× 307 0.7× 379 0.8× 67 5.9k
Tsunenobu Tamura United States 38 1.2k 0.5× 784 0.8× 91 0.1× 739 1.6× 297 0.7× 129 4.5k
Lewis A. Barness United States 32 1.2k 0.5× 594 0.6× 350 0.5× 107 0.2× 318 0.7× 143 3.5k

Countries citing papers authored by Ian J. Griffin

Since Specialization
Citations

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

Fields of papers citing papers by Ian J. Griffin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian J. Griffin. 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 Ian J. Griffin. The network helps show where Ian J. Griffin may publish in the future.

Co-authorship network of co-authors of Ian J. Griffin

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

All Works

20 of 20 papers shown
1.
Taylor, Sarah N., Tanis R. Fenton, Sharon Groh‐Wargo, et al.. (2022). Exclusive Maternal Milk Compared With Exclusive Formula on Growth and Health Outcomes in Very-Low-Birthweight Preterm Infants: Phase II of the Pre-B Project and an Evidence Analysis Center Systematic Review. Frontiers in Pediatrics. 9. 793311–793311. 4 indexed citations
2.
Fenton, Tanis R., Ian J. Griffin, Ángela Hoyos, et al.. (2019). Accuracy of preterm infant weight gain velocity calculations vary depending on method used and infant age at time of measurement. Pediatric Research. 85(5). 650–654. 31 indexed citations
3.
Teller, Inga C., Nicholas D. Embleton, Ian J. Griffin, & Ruurd M. van Elburg. (2015). Post-discharge formula feeding in preterm infants: A systematic review mapping evidence about the role of macronutrient enrichment. Clinical Nutrition. 35(4). 791–801. 41 indexed citations
4.
5.
Young, Melissa, Ian J. Griffin, Eva K. Pressman, et al.. (2010). Utilization of Iron from an Animal-Based Iron Source Is Greater Than That of Ferrous Sulfate in Pregnant and Nonpregnant Women. Journal of Nutrition. 140(12). 2162–2166. 45 indexed citations
6.
Hettiarachchi, Manjula, Chandrani Liyanage, David C. Hilmers, Ian J. Griffin, & Steven A. Abrams. (2009). Changing the zinc:iron ratio in a cereal-based nutritional supplement has no effect on percent absorption of iron and zinc in Sri Lankan children. British Journal Of Nutrition. 103(7). 1015–1022. 11 indexed citations
7.
Griffin, Ian J. & Richard J. Cooke. (2007). Nutrition of Preterm Infants After Hospital Discharge. Journal of Pediatric Gastroenterology and Nutrition. 45(S3). S195–203. 21 indexed citations
8.
Griffin, Ian J., et al.. (2007). Iron Absorption Is More Closely Related to Iron Status Than to Daily Iron Intake in 12- to 48-Mo-Old Children. Journal of Nutrition. 137(1). 88–92. 18 indexed citations
9.
Abrams, Steven A., Ian J. Griffin, Keli M. Hawthorne, & Kenneth J. Ellis. (2007). Effect of Prebiotic Supplementation and Calcium Intake on Body Mass Index. The Journal of Pediatrics. 151(3). 293–298. 79 indexed citations
10.
Griffin, Ian J., et al.. (2007). Calcium balance in 1–4-y-old children. American Journal of Clinical Nutrition. 85(3). 750–754. 17 indexed citations
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Griffin, Ian J., Penni D Hicks, Lily K. Liang, & Steven A. Abrams. (2004). Metabolic adaptations to low zinc intakes in premenarcheal girls. American Journal of Clinical Nutrition. 80(2). 385–390. 11 indexed citations
14.
Griffin, Ian J., Sandra C. Kim, Penni D Hicks, Lily K. Liang, & Steven A. Abrams. (2004). Zinc Metabolism in Adolescents with Crohn's Disease. Pediatric Research. 56(2). 235–239. 33 indexed citations
15.
Abrams, Steven A., Ian J. Griffin, Penni D Hicks, & Sheila Gunn. (2004). Pubertal Girls Only Partially Adapt to Low Dietary Calcium Intakes. Journal of Bone and Mineral Research. 19(5). 759–763. 44 indexed citations
16.
Abrams, Steven A., et al.. (2003). A Multinutrient-Fortified Beverage Enhances the Nutritional Status of Children in Botswana. Journal of Nutrition. 133(6). 1834–1840. 68 indexed citations
17.
Abrams, Steven A., et al.. (2002). Calcium and zinc absorption from lactose-containing and lactose-free infant formulas. American Journal of Clinical Nutrition. 76(2). 442–446. 90 indexed citations
18.
Griffin, Ian J., Steven A. Abrams, & Janet C. King. (2000). Body Weight-Specific Zinc Compartmental Masses in Girls Significantly Exceed Those Reported in Adults: A Stable Isotope Study Using a Kinetic Model. Journal of Nutrition. 130(10). 2607–2612. 16 indexed citations
19.
Griffin, Ian J., David M. Shames, Janet C. King, & Steven A. Abrams. (1999). A compartmental model of zinc kinetics in children. Journal of Investigative Medicine. 47(2).
20.
Jackson, Helen C., Ian J. Griffin, & David Nutt. (1992). Endogenous opioids may be involved in idazoxan-induced food intake. Neuropharmacology. 31(8). 771–776. 11 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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