J J Neil

1.4k total citations · 2 hit papers
6 papers, 1.1k citations indexed

About

J J Neil is a scholar working on Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, J J Neil has authored 6 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pediatrics, Perinatology and Child Health, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in J J Neil's work include Neonatal and fetal brain pathology (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Neonatal Respiratory Health Research (2 papers). J J Neil is often cited by papers focused on Neonatal and fetal brain pathology (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Neonatal Respiratory Health Research (2 papers). J J Neil collaborates with scholars based in United States, Switzerland and New Zealand. J J Neil's co-authors include Terrie E. Inder, Hiroyuki Kidokoro, C. Robert Almli, Robert C. McKinstry, J. Philip Miller, Abraham Z. Snyder, Shelly I. Shiran, Joseph A. Aronovitz, G. L. Schefft and Erbil Akbudak and has published in prestigious journals such as Radiology, Cerebral Cortex and Brain Behavior and Immunity.

In The Last Decade

J J Neil

6 papers receiving 1.1k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Normal brain in human newborns: apparent diffusion coefficient and diffusion anisotropy measured by using diffusion tensor MR imaging.

1998 517 citations J J Neil, Shelly I. Shiran et al. Radiology profile →
New MR Imaging Assessment Tool to Define Brain Abnormalities in Very Preterm Infants at Term

2013 358 citations Hiroyuki Kidokoro, J J Neil et al. American Journal of Neuroradiology profile →

Author Peers

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

Author						Papers	Cites
J J Neil	815	583	242	120	113	6	1.1k
Shelly I. Shiran	656 0.8×	601 1.0×	108 0.4×	95 0.8×	201 1.8×	41	1.2k
Mustafa Anjari	799 1.0×	509 0.9×	268 1.1×	85 0.7×	91 0.8×	19	1.0k
Sandra Horsch	821 1.0×	321 0.6×	521 2.2×	445 3.7×	60 0.5×	46	1.4k
Savannah C. Partridge	687 0.8×	654 1.1×	105 0.4×	142 1.2×	90 0.8×	10	886
Agnes I. Bartha	746 0.9×	220 0.4×	223 0.9×	27 0.2×	159 1.4×	12	865
Jill B. De Vis	210 0.3×	768 1.3×	293 1.2×	200 1.7×	67 0.6×	42	1.2k
Hiromasa Takemura	317 0.4×	464 0.8×	164 0.7×	499 4.2×	25 0.2×	44	1.1k
Claire E. Kelly	772 0.9×	326 0.6×	489 2.0×	211 1.8×	85 0.8×	51	1.4k
Eliana S. Lee	376 0.5×	301 0.5×	70 0.3×	132 1.1×	85 0.8×	8	636

Countries citing papers authored by J J Neil

Since Specialization

Citations

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

Fields of papers citing papers by J J Neil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J J Neil

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

All Works

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6 of 6 papers shown

Reynolds, L., et al.. (2014). Maternal obesity and increased risk for autism and developmental delay among very preterm infants. Journal of Perinatology. 34(9). 688–692. 88 indexed citations

Kidokoro, Hiroyuki, J J Neil, & Terrie E. Inder. (2013). New MR Imaging Assessment Tool to Define Brain Abnormalities in Very Preterm Infants at Term. American Journal of Neuroradiology. 34(11). 2208–2214. 358 indexed citations breakdown →

Lodygensky, Gregory A., Tim West, Madeliene Stump, et al.. (2009). In vivo MRI analysis of an inflammatory injury in the developing brain. Brain Behavior and Immunity. 24(5). 759–767. 56 indexed citations

West, Tim, Madeliene Stump, Gregory A. Lodygensky, et al.. (2009). Lack of X-Linked Inhibitor of Apoptosis Protein Leads to Increased Apoptosis and Tissue Loss Following Neonatal Brain Injury. ASN NEURO. 1(1). 19 indexed citations

Sizonenko, Stéphane, Emily J. Camm, Joel R. Garbow, et al.. (2007). Developmental Changes and Injury Induced Disruption of the Radial Organization of the Cortex in the Immature Rat Brain Revealed by In Vivo Diffusion Tensor MRI. Cerebral Cortex. 17(11). 2609–2617. 83 indexed citations

Neil, J J, Shelly I. Shiran, Robert C. McKinstry, et al.. (1998). Normal brain in human newborns: apparent diffusion coefficient and diffusion anisotropy measured by using diffusion tensor MR imaging.. Radiology. 209(1). 57–66. 517 indexed citations breakdown →

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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