John Colombo

10.7k total citations · 1 hit paper
139 papers, 7.4k citations indexed

About

John Colombo is a scholar working on Nutrition and Dietetics, Developmental and Educational Psychology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, John Colombo has authored 139 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Nutrition and Dietetics, 41 papers in Developmental and Educational Psychology and 40 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in John Colombo's work include Child and Animal Learning Development (35 papers), Fatty Acid Research and Health (27 papers) and Birth, Development, and Health (20 papers). John Colombo is often cited by papers focused on Child and Animal Learning Development (35 papers), Fatty Acid Research and Health (27 papers) and Birth, Development, and Health (20 papers). John Colombo collaborates with scholars based in United States, Australia and China. John Colombo's co-authors include Denis Mitchell, Susan E. Carlson, D. Jill Shaddy, Frances Degen Horowitz, Jeffrey T. Coldren, Christa J. Anderson, Carol L. Cheatham, Janet E. Frick, Kathleen M. Gustafson and Elizabeth H. Kerling and has published in prestigious journals such as Psychological Bulletin, American Journal of Clinical Nutrition and Child Development.

In The Last Decade

John Colombo

135 papers receiving 7.1k citations

Hit Papers

Habituation revisited: An updated and revised description... 2008 2026 2014 2020 2008 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Colombo United States 44 2.4k 2.1k 1.7k 1.7k 908 139 7.4k
Susan A. Rose United States 47 1.9k 0.8× 2.5k 1.2× 150 0.1× 2.0k 1.2× 982 1.1× 120 5.5k
Gerald E. McClearn United States 60 925 0.4× 665 0.3× 732 0.4× 862 0.5× 2.9k 3.2× 218 12.4k
Rebecca Knickmeyer United States 40 3.6k 1.5× 554 0.3× 221 0.1× 1.8k 1.1× 918 1.0× 85 8.8k
Donald Guthrie United States 48 2.4k 1.0× 772 0.4× 372 0.2× 1.2k 0.7× 704 0.8× 131 9.8k
Alan S. Brown United States 62 3.9k 1.6× 1.0k 0.5× 469 0.3× 2.8k 1.7× 1.2k 1.3× 216 16.0k
David Q. Beversdorf United States 42 2.6k 1.1× 439 0.2× 347 0.2× 523 0.3× 660 0.7× 163 6.2k
Deborah A. Pearson United States 38 2.1k 0.9× 608 0.3× 211 0.1× 779 0.5× 333 0.4× 110 6.3k
Klaus W. Lange Germany 55 3.2k 1.3× 931 0.4× 360 0.2× 234 0.1× 716 0.8× 289 11.1k
Herbert G. Birch United States 39 1.4k 0.6× 1.4k 0.6× 287 0.2× 736 0.4× 887 1.0× 141 5.8k
Gerianne M. Alexander United States 47 930 0.4× 300 0.1× 425 0.2× 2.1k 1.2× 763 0.8× 152 8.3k

Countries citing papers authored by John Colombo

Since Specialization
Citations

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

Fields of papers citing papers by John Colombo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Colombo

This figure shows the co-authorship network connecting the top 25 collaborators of John Colombo. A scholar is included among the top collaborators of John Colombo 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 John Colombo. John Colombo 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.
Li, Fei, Steven S. Wu, Carol Lynn Berseth, et al.. (2019). Improved Neurodevelopmental Outcomes Associated with Bovine Milk Fat Globule Membrane and Lactoferrin in Infant Formula: A Randomized, Controlled Trial. The Journal of Pediatrics. 215. 24–31.e8. 103 indexed citations
3.
Colombo, John, D. Jill Shaddy, Kathleen M. Gustafson, et al.. (2019). The Kansas University DHA Outcomes Study (KUDOS) clinical trial: long-term behavioral follow-up of the effects of prenatal DHA supplementation. American Journal of Clinical Nutrition. 109(5). 1380–1392. 43 indexed citations
4.
Lepping, Rebecca J., Robyn A. Honea, Laura E. Martin, et al.. (2018). Long‐chain polyunsaturated fatty acid supplementation in the first year of life affects brain function, structure, and metabolism at age nine years. Developmental Psychobiology. 61(1). 5–16. 41 indexed citations
6.
Hidaka, Brandon H., Jocelynn M. Thodosoff, Elizabeth H. Kerling, et al.. (2018). Intrauterine DHA exposure and child body composition at 5 y: exploratory analysis of a randomized controlled trial of prenatal DHA supplementation. American Journal of Clinical Nutrition. 107(1). 35–42. 17 indexed citations
7.
Gajewski, Byron J., C. Shane Reese, John Colombo, & Susan E. Carlson. (2016). Commensurate Priors on a Finite Mixture Model for Incorporating Repository Data in Clinical Trials. Statistics in Biopharmaceutical Research. 8(2). 151–160. 10 indexed citations
8.
Kapa, Leah L. & John Colombo. (2014). Executive function predicts artificial language learning. Journal of Memory and Language. 76. 237–252. 52 indexed citations
9.
Gould, Jacqueline F., Maria Makrides, John Colombo, & Lisa G. Smithers. (2014). Randomized controlled trial of maternal omega-3 long-chain PUFA supplementation during pregnancy and early childhood development of attention, working memory, and inhibitory control. American Journal of Clinical Nutrition. 99(4). 851–859. 50 indexed citations
10.
Colombo, John, Susan E. Carlson, Carol L. Cheatham, et al.. (2013). Long-term effects of LCPUFA supplementation on childhood cognitive outcomes. American Journal of Clinical Nutrition. 98(2). 403–412. 143 indexed citations
11.
Colombo, John, et al.. (2011). Long-Chain Polyunsaturated Fatty Acid Supplementation in Infancy Reduces Heart Rate and Positively Affects Distribution of Attention. Pediatric Research. 70(4). 406–410. 72 indexed citations
12.
Blaga, Otilia M. & John Colombo. (2006). Visual processing and infant ocular latencies in the overlap paradigm.. Developmental Psychology. 42(6). 1069–1076. 25 indexed citations
13.
Frick, Janet E., John Colombo, & Jennifer R. Allen. (2000). Temporal Sequence of Global‐Local Processing in 3‐Month‐Old Infants. Infancy. 1(3). 375–386. 43 indexed citations
14.
Colombo, John, et al.. (1997). Sensitization during Visual Habituation Sequences: Procedural Effects and Individual Differences. Journal of Experimental Child Psychology. 67(2). 223–235. 16 indexed citations
15.
Frick, Janet E. & John Colombo. (1996). Individual Differences in Infant Visual Attention: Recognition of Degraded Visual Forms by Four-Month-Olds. Child Development. 67(1). 188–188. 22 indexed citations
16.
Colombo, John, et al.. (1995). Infants' detection of analogs of 'motherese' in noise. Merrill-palmer Quarterly. 41(1). 104–113. 21 indexed citations
17.
18.
Colombo, John, et al.. (1991). Individual Differences in Infant Visual Attention: Are Short Lookers Faster Processors or Feature Processors?. Child Development. 62(6). 1247–1247. 113 indexed citations
19.
Colombo, John, Denis Mitchell, & Frances Degen Horowitz. (1988). Infant Visual Attention in the Paired-Comparison Paradigm: Test-Retest and Attention-Performance Relations. Child Development. 59(5). 1198–1210. 113 indexed citations
20.
Colombo, John & Frances Degen Horowitz. (1987). Behavioral State as a Lead Variable in Neonatal Research.. Merrill-palmer Quarterly. 33(4). 21 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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