Jeffrey Lu

22 papers receiving 1.5k citations

Peers

Jeffrey Lu
Comparison fields: 5 of 110
  • Cognitive Neuroscience 826
  • Anesthesiology and Pain Medicine 131
  • Radiology, Nuclear Medicine and Imaging 343
  • Computational Mathematics 10
  • Pediatrics, Perinatology and Child Health 250
Replace Jules E. C. Constantinou with:
Jules E. C. Constantinou United States
Dudley S. Dinner United States
Carmen Barba Italy
Paul K. Mazaika United States
Liselotte Skov Denmark
Max R. Trenerry United States
Allison Kinder Ross United States
C. K. Brown United States
Benjamin Legros Belgium
Katja Menzler Germany
Jeffrey Lu relative to Jules E. C. Constantinou United States Jules E. C. Constantinou's profile →
Citations per field
00.5×6.2×
Jules E. C. Constantinou · 1×
Citations per year

Countries citing papers authored by Jeffrey Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jeffrey Lu, 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 Jeffrey Lu Line = papers co-authored together Jeffrey Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006490
2 2007354
3 2007208
4 1993196
5 2000112
6 199938
7 199736
8 201036
9 199732
10 200727
11 199419
12 200817
13 201612
14 201610
15 20248
16 20138
17 19973
18 20062
19 19972
20 19972

About Jeffrey Lu

Jeffrey Lu is a scholar working on Surgery, Cognitive Neuroscience, Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (5 papers), Fetal and Pediatric Neurological Disorders (4 papers), Anesthesia and Pain Management (3 papers), Non-Invasive Vital Sign Monitoring (2 papers), Anesthesia and Sedative Agents (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Veterinary Pharmacology and Anesthesia (2 papers). The work is most often cited by research in Cognitive Neuroscience (826 citations), Anesthesiology and Pain Medicine (131 citations), Radiology, Nuclear Medicine and Imaging (343 citations), Computational Mathematics (10 citations) and Pediatrics, Perinatology and Child Health (250 citations). Jeffrey Lu has collaborated with scholars based in United States, New Zealand and Australia. Frequent co-authors include Janet E. Lainhart, Erin D. Bigler, Michael Johnson, Mariana Lazar, Andrew L. Alexander, Jee Eun Lee, William M. McMahon, Judith Miller, Molly B. DuBray and Eun‐Kee Jeong. Their work appears in journals such as Anesthesia & Analgesia, Developmental Neuropsychology, Anesthesiology, Journal of Clinical Anesthesia and Journal of the International Neuropsychological Society.

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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