Phil Lee

14.9k citations
149 papers · 12.1k · 3 hit papers · h-index 41

Impact in

Papers in

Phil Lee

138 papers receiving 11.9k citations

Phil Lee's Hit Papers

Minimum Reporting Standards for in vivo Magnetic Resonance Spectroscopy (MRSinMRS): Experts' consensus recommendations 2021 · 224 citations
2240+4+8Years since publication2k4k6k

Peers

Phil Lee
Comparison fields: 5 of 161
  • Biological Psychiatry 326
  • Psychiatry and Mental health 3.7k
  • Radiology, Nuclear Medicine and Imaging 2.2k
  • Genetics 2.6k
  • Neurology 360
Replace Dara M. Cannon with:
Dara M. Cannon Ireland
Derrek P. Hibar United States
Ryota Hashimoto Japan
Katharina Wittfeld Germany
Janice M. Fullerton Australia
Igor Nenadić Germany
Raquelle I. Mesholam‐Gately United States
Lei Wang United States
Joseph I. Friedman United States
Christopher D. Whelan United States
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Citations per field
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Citations per year

Countries citing papers authored by Phil Lee

Since Specialization
Citations

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

Fields of papers citing papers by Phil Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Biological insights from 108 schizophrenia-associated genetic loci
Hit paper breakdown →
20146156
2
Partitioning Heritability of Regulatory and Cell-Type-Specific Variants across 11 Common Diseases
Hit paper breakdown →
2014436
3 2002318
4 1999259
5 2000236
6 2001235
7
Minimum Reporting Standards for in vivo Magnetic Resonance Spectroscopy (MRSinMRS): Experts' consensus recommendations
Hit paper breakdown →
2021224
8 1999214
9 2016177
10 2000150
11 2021147
12 2001139
13 2011135
14 2018129
15 2012112
16 2017111
17 2020110
18 2005109
19 2012107
20 200498

About Phil Lee

Phil Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Physiology, Computational Mechanics and Genetics, having authored 149 papers that have together received 12.1k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (44 papers), Alzheimer's disease research and treatments (15 papers), Dementia and Cognitive Impairment Research (14 papers), Genetic Associations and Epidemiology (11 papers), Combustion and flame dynamics (10 papers), Schizophrenia research and treatment (8 papers), Orthopedic Surgery and Rehabilitation (7 papers) and Multiple Sclerosis Research Studies (6 papers). The work is most often cited by research in Biological Psychiatry (326 citations), Psychiatry and Mental health (3.7k citations), Radiology, Nuclear Medicine and Imaging (2.2k citations), Genetics (2.6k citations) and Neurology (360 citations). Phil Lee has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Afonso C. Silva, Seong‐Gi Kim, Seong‐Gi Kim, Costantino Iadecola, Timothy Q. Duong, Noam Harel, Joseph A. Helpern, William Miles Brooks, Kǎmil Uǧurbil and Dae-Shik Kim. Their work appears in journals such as Magnetic Resonance in Medicine, Neurochemical Research, Alzheimer s & Dementia, NMR in Biomedicine and Journal of Cerebral Blood Flow & Metabolism.

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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