Michael Georgieff

34.3k total citations · 6 hit papers
694 papers, 24.0k citations indexed

About

Michael Georgieff is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Nutrition and Dietetics. According to data from OpenAlex, Michael Georgieff has authored 694 papers receiving a total of 24.0k indexed citations (citations by other indexed papers that have themselves been cited), including 186 papers in Pediatrics, Perinatology and Child Health, 144 papers in Pulmonary and Respiratory Medicine and 132 papers in Nutrition and Dietetics. Recurrent topics in Michael Georgieff's work include Iron Metabolism and Disorders (99 papers), Neonatal and fetal brain pathology (82 papers) and Neonatal Respiratory Health Research (70 papers). Michael Georgieff is often cited by papers focused on Iron Metabolism and Disorders (99 papers), Neonatal and fetal brain pathology (82 papers) and Neonatal Respiratory Health Research (70 papers). Michael Georgieff collaborates with scholars based in United States, Germany and United Kingdom. Michael Georgieff's co-authors include Raghavendra Rao, Betsy Lozoff, Charles A. Nelson, Sarah E. Cusick, Jane D. Wobken, Barbara T. Felt, Phu V. Tran, Sara E. Ramel, James R. Connor and Timothy Schallert and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Neuroscience.

In The Last Decade

Michael Georgieff

680 papers receiving 23.2k citations

Hit Papers

Long-Lasting Neural and B... 2006 2026 2012 2019 2006 2007 2006 2016 2018 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Michael Georgieff 7.1k 6.3k 5.0k 3.7k 3.1k 694 24.0k
Per Magne Ueland 5.0k 0.7× 3.6k 0.6× 3.5k 0.7× 1.6k 0.4× 8.1k 2.7× 663 40.9k
Jacob Selhub 3.8k 0.5× 2.9k 0.5× 3.9k 0.8× 1.4k 0.4× 9.2k 3.0× 382 37.7k
Friedrich C. Luft 3.4k 0.5× 6.1k 1.0× 941 0.2× 5.5k 1.5× 6.8k 2.2× 1.1k 50.6k
Helga Refsum 3.7k 0.5× 2.7k 0.4× 2.6k 0.5× 910 0.2× 6.7k 2.2× 301 28.1k
Irwin H. Rosenberg 2.1k 0.3× 3.5k 0.6× 2.0k 0.4× 1.1k 0.3× 5.6k 1.8× 285 25.6k
Dympna Gallagher 1.9k 0.3× 1.9k 0.3× 1.6k 0.3× 1.0k 0.3× 2.9k 1.0× 228 28.5k
Elizabeth Barrett‐Connor 1.7k 0.2× 2.6k 0.4× 712 0.1× 2.7k 0.7× 7.2k 2.3× 669 49.5k
Bruce W. Hollis 2.9k 0.4× 7.8k 1.2× 537 0.1× 2.0k 0.5× 1.3k 0.4× 340 29.7k
Nathan W. Levin 1.6k 0.2× 1.9k 0.3× 2.3k 0.5× 2.6k 0.7× 5.3k 1.7× 533 25.1k
George J. Schwartz 4.1k 0.6× 803 0.1× 803 0.2× 2.8k 0.8× 2.1k 0.7× 275 18.8k

Countries citing papers authored by Michael Georgieff

Since Specialization
Citations

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

Fields of papers citing papers by Michael Georgieff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Georgieff

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Georgieff. A scholar is included among the top collaborators of Michael Georgieff 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 Michael Georgieff. Michael Georgieff 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
2.
McCarthy, Elaine K., et al.. (2024). Longitudinal evaluation of iron status during pregnancy: a prospective cohort study in a high-resource setting. American Journal of Clinical Nutrition. 120(5). 1259–1268. 11 indexed citations
3.
Gisslen, Tate, et al.. (2024). Identification of Genes Responding to Iron or Choline Treatment for Early-Life Iron Deficiency in the Male Rat Hippocampal Transcriptomes. Journal of Nutrition. 154(4). 1141–1152. 1 indexed citations
4.
Reid, Brie M. & Michael Georgieff. (2023). The Interaction between Psychological Stress and Iron Status on Early-Life Neurodevelopmental Outcomes. Nutrients. 15(17). 3798–3798. 11 indexed citations
5.
Lanier, Lorene M., et al.. (2023). Cellular Iron Deficiency Disrupts Thyroid Hormone Regulated Gene Expression in Developing Hippocampal Neurons. Journal of Nutrition. 154(1). 49–59.
6.
Wolfson, Julian, Jayne A. Fulkerson, Michael Georgieff, et al.. (2023). Human Milk Feeding and Direct Breastfeeding Improve Outcomes for Infants With Single Ventricle Congenital Heart Disease: Propensity Score‐Matched Analysis of the NPC‐QIC Registry. Journal of the American Heart Association. 12(17). e030756–e030756. 4 indexed citations
7.
Georgieff, Michael, et al.. (2023). Sex-Specific Effects of Early-Life Iron Deficiency and Prenatal Choline Treatment on Adult Rat Hippocampal Transcriptome. Nutrients. 15(6). 1316–1316. 1 indexed citations
11.
Barks, Amanda, et al.. (2021). Early-Life Iron Deficiency Anemia Programs the Hippocampal Epigenomic Landscape. Nutrients. 13(11). 3857–3857. 19 indexed citations
12.
Evans, Michael D., et al.. (2019). Cord Blood-Derived Exosomal CNTN2 and BDNF: Potential Molecular Markers for Brain Health of Neonates at Risk for Iron Deficiency. Nutrients. 11(10). 2478–2478. 20 indexed citations
13.
Seewald, Stephan, Rolf Lefering, Andreas Böhn, et al.. (2019). Application of mechanical cardiopulmonary resuscitation devices and their value in out-of-hospital cardiac arrest: A retrospective analysis of the German Resuscitation Registry. PLoS ONE. 14(1). e0208113–e0208113. 19 indexed citations
14.
Zhang, Lei, et al.. (2018). Preserved speed of processing and memory in infants with a history of moderate neonatal encephalopathy treated with therapeutic hypothermia. Journal of Perinatology. 38(12). 1666–1673. 2 indexed citations
15.
Cole, F. Sessions, John Barks, Robert Boyle, et al.. (2010). NIH consensus development conference: Inhaled nitric oxide therapy for premature infants.. PubMed. 27(5). 1–34. 19 indexed citations
16.
Cordòn, Ingrid M., Michael Georgieff, & Charles A. Nelson. (2009). Neural Correlates of Emotion Processing in Typically Developing Children and Children of Diabetic Mothers. Developmental Neuropsychology. 34(6). 683–700. 15 indexed citations
17.
Weigt, Henry U., et al.. (2009). Xenon blocks AMPA and NMDA receptor channels by different mechanisms. Acta Neurobiologiae Experimentalis. 69(4). 429–440. 19 indexed citations
18.
Beard, John, et al.. (2007). Diagnosis of Iron Deficiency in Infants. Laboratory Medicine. 38(2). 103–108. 21 indexed citations
19.
Pereira, Gilberto R., Stephen Baumgart, Michael J. Bennett, et al.. (1994). Use of high-fat formula for premature infants with bronchopulmonary dysplasia: Metabolic, pulmonary, and nutritional studies. The Journal of Pediatrics. 124(4). 605–611. 38 indexed citations
20.
Georgieff, Michael, Mark B. Landon, Marla M. Mills, et al.. (1990). Abnormal iron distribution in infants of diabetic mothers: Spectrum and maternal antecedents. The Journal of Pediatrics. 117(3). 455–461. 133 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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