Jeffrey Lu

2.0k citations
21 papers · 1.5k · h-index 12

Impact in

Papers in

Jeffrey Lu

19 papers receiving 1.4k citations

Peers

Jeffrey Lu
Comparison fields: 5 of 110
  • Cognitive Neuroscience 843
  • Anesthesiology and Pain Medicine 175
  • Radiology, Nuclear Medicine and Imaging 411
  • Computational Mathematics 10
  • Pediatrics, Perinatology and Child Health 327
Replace Paul K. Mazaika with:
Paul K. Mazaika United States
Liselotte Skov Denmark
Katja Menzler Germany
Carmen Barba Italy
A.J.A. de Louw Netherlands
Dudley S. Dinner United States
L. Henriksen Denmark
Marc Rey France
C. K. Brown United States
Jennifer Kornelsen Canada
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Citations per field
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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 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006457
2 2007340
3 2007188
4 1993174
5 2000105
6 199936
7 199731
8 201031
9 199728
10 200724
11 199418
12 200814
13 201611
14 20169
15 20137
16 20246
17 19973
18 19972
19 19972
20 20061

About Jeffrey Lu

Jeffrey Lu is a scholar working on Surgery, Pediatrics, Perinatology and Child Health, Cognitive Neuroscience, Anesthesiology and Pain Medicine and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Anesthesia and Pain Management (5 papers), Autism Spectrum Disorder Research (5 papers), Fetal and Pediatric Neurological Disorders (4 papers), Anesthesia and Sedative Agents (4 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Veterinary Pharmacology and Anesthesia (2 papers), Respiratory Support and Mechanisms (2 papers) and Pediatric Pain Management Techniques (2 papers). The work is most often cited by research in Cognitive Neuroscience (843 citations), Anesthesiology and Pain Medicine (175 citations), Radiology, Nuclear Medicine and Imaging (411 citations), Computational Mathematics (10 citations) and Pediatrics, Perinatology and Child Health (327 citations). Jeffrey Lu has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Erin D. Bigler, Janet E. Lainhart, Michael Johnson, Judith Miller, Jee Eun Lee, Eun‐Kee Jeong, Andrew L. Alexander, William M. McMahon, Molly B. DuBray and Mariana Lazar. Their work appears in journals such as Anesthesia & Analgesia, Anesthesiology, Developmental Neuropsychology, Journal of Clinical Anesthesia and Surgery Today.

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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