Lee Stein

3.5k citations
10 papers · 2.2k · 2 hit papers · h-index 7

Impact in

Papers in

Lee Stein

9 papers receiving 2.1k citations

Lee Stein's Hit Papers

Donanemab in Early Symptomatic Alzheimer Disease 2023 · 1.7k citations
1.7k0+1+2Years since publication50010001.5k

Peers

Lee Stein
Comparison fields: 5 of 114
  • Biological Psychiatry 108
  • Psychiatry and Mental health 575
  • Physiology 780
  • Neurology 214
  • Pharmacology 231
Replace Maciej Czarnecki with:
Maciej Czarnecki Poland
Alberto Vásquez United States
Richard Holub United States
Christian von Hehn United States
Alison Allen United Kingdom
Jan Ilkowski Poland
Christen F. Kutz United States
Kumar Kandadi Muralidharan United States
Perminder Bhatia United States
Joyce Suhy United States
Lee Stein relative to Maciej Czarnecki Poland Maciej Czarnecki's profile →
Citations per field
00.5×2×4×6×8×9×
Maciej Czarnecki · 1×
Citations per year

Countries citing papers authored by Lee Stein

Since Specialization
Citations

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

Fields of papers citing papers by Lee Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Lee Stein, 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 Lee Stein Line = papers co-authored together Lee Stein links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Donanemab in Early Symptomatic Alzheimer Disease
Hit paper breakdown →
20231732
2
Safety and Efficacy of Semorinemab in Individuals With Prodromal to Mild Alzheimer Disease
Hit paper breakdown →
2022152
3 201699
4 202377
5 201559
6 201655
7 201013
8 20096
9
Masters of the Wired World: cyberspace speaks out
19801
10
Perils and pitfalls of practical Internet commerce: the lessons of First Virtual's first year
19970

About Lee Stein

Lee Stein is a scholar working on Pathology and Forensic Medicine, Aerospace Engineering, Physiology, Mechanics of Materials and Electrical and Electronic Engineering, having authored 10 papers that have together received 2.2k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (3 papers), Calibration and Measurement Techniques (2 papers), Infrared Target Detection Methodologies (2 papers), Alzheimer's disease research and treatments (1 paper), Terahertz technology and applications (1 paper) and Thermography and Photoacoustic Techniques (1 paper). The work is most often cited by research in Biological Psychiatry (108 citations), Psychiatry and Mental health (575 citations), Physiology (780 citations), Neurology (214 citations) and Pharmacology (231 citations). Lee Stein has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include William L. Kiser, Keith A. Krapels, José Francisco García, David A. Wikner, Christopher A. Schuetz, Ronald G. Driggers, Nathaniel S. Borenstein, John Ferguson, Marshall T. Rose and Dennis W. Prather. Their work appears in journals such as Neurology, Applied Optics, JAMA, JAMA Neurology and Neurology Clinical Practice.

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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