Rachel E. Lean

33 papers receiving 705 citations

Peers

Rachel E. Lean
Comparison fields: 5 of 62
  • Pediatrics, Perinatology and Child Health 420
  • Pharmacy 23
  • Behavioral Neuroscience 17
  • Cognitive Neuroscience 97
  • Clinical Psychology 86
Replace Samudragupta Bora with:
Samudragupta Bora Australia
Elaine Healy Ireland
Shannon N. Lenze United States
Sheri A. DellaGrotta United States
Irene M. Loe United States
Carol A. Newnham Australia
Malika Delobel‐Ayoub France
Hilary Espezel Canada
Lynette M. Dufton United States
Julie A. Hofheimer United States
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Citations per field
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Citations per year

Countries citing papers authored by Rachel E. Lean

Since Specialization
Citations

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

Fields of papers citing papers by Rachel E. Lean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel E. Lean. 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 Rachel E. Lean. The network helps show where Rachel E. Lean may publish in the future.

Co-authors

The 25 scholars most cited alongside Rachel E. Lean, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rachel E. Lean Line = papers co-authored together Rachel E. Lean links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018114
2 2018101
3 201860
4 202257
5 201744
6 202237
7 201936
8 201935
9 202235
10 201729
11 202023
12 202420
13 202418
14 201318
15 202017
16 201916
17 201714
18 202212
19 20246
20 20225

About Rachel E. Lean

Rachel E. Lean is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Clinical Psychology, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 38 papers that have together received 732 indexed citations. Recurring topics across this work include Infant Development and Preterm Care (15 papers), Neonatal and fetal brain pathology (9 papers), Maternal Mental Health During Pregnancy and Postpartum (6 papers), Child and Adolescent Psychosocial and Emotional Development (4 papers), Functional Brain Connectivity Studies (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Williams Syndrome Research (1 paper). The work is most often cited by research in Pediatrics, Perinatology and Child Health (420 citations), Pharmacy (23 citations), Behavioral Neuroscience (17 citations), Cognitive Neuroscience (97 citations) and Clinical Psychology (86 citations). Rachel E. Lean has collaborated with scholars based in United States, Australia and New Zealand. Frequent co-authors include Cynthia E. Rogers, Christopher Smyser, Rachel A. Paul, Tara A. Smyser, Emily D. Gerstein, Muriah D. Wheelock, Deanna M. Barch, Joshua S. Shimony, Lianne J. Woodward and Barbara B. Warner. Their work appears in journals such as Biological Psychiatry, The Journal of Pediatrics, Proceedings of the National Academy of Sciences, Journal of the American Academy of Child & Adolescent Psychiatry and NeuroImage Clinical.

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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