Lee K. Brown

3.7k citations
85 papers · 2.3k indexed · h-index 25

Impact in

Papers in

Lee K. Brown

82 papers receiving 2.3k citations

Peers

Lee K. Brown
Comparison fields: 5 of 111
  • Endocrine and Autonomic Systems 1.0k
  • Physiology 1.5k
  • Pulmonary and Respiratory Medicine 1.2k
  • Critical Care and Intensive Care Medicine 163
  • Cognitive Neuroscience 346
Replace Bernard Fleury with:
Bernard Fleury France
Anita K. Simonds United Kingdom
Alberto Braghiroli Italy
Amanda J. Piper Australia
Olga Parra Spain
Jean‐Christian Borel France
Clifford W. Zwillich United States
Colin E. Sullivan Australia
Harly Greenberg United States
M. Jeffery Mador United States
Lee K. Brown relative to Bernard Fleury France Bernard Fleury's profile →
Citations per field
00.5×1.7×
Bernard Fleury · 1×
Citations per year

Countries citing papers authored by Lee K. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Lee K. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20223
3 20195
4 201833
5 20175
6 20178
7 201558
8 201516
9 201530
10 20134
11 201176
12 20091
13 200564
14 200334
15 20021
16 200110
17 199766
18 199212
19 19919
20 199024

About Lee K. Brown

Lee K. Brown is a scholar working on Endocrine and Autonomic Systems, Physiology, Pulmonary and Respiratory Medicine, Critical Care and Intensive Care Medicine and Experimental and Cognitive Psychology, having authored 85 papers that have together received 2.3k indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (35 papers), Neuroscience of respiration and sleep (28 papers), Respiratory Support and Mechanisms (14 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers), Sleep and Wakefulness Research (10 papers), Sarcoidosis and Beryllium Toxicity Research (6 papers), Pleural and Pulmonary Diseases (6 papers) and Tracheal and airway disorders (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.0k citations), Physiology (1.5k citations), Pulmonary and Respiratory Medicine (1.2k citations), Critical Care and Intensive Care Medicine (163 citations) and Cognitive Neuroscience (346 citations). Lee K. Brown has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include John E. Heffner, Shahrokh Javaheri, Clete A. Kushida, Alejandro D. Chediak, Richard B. Berry, Conrad Iber, James A. Rowley, Celia Barbieri, Alvin S. Teirstein and Sairam Parthasarathy. Their work appears in journals such as CHEST Journal, Journal of Clinical Sleep Medicine, American Journal of Respiratory and Critical Care Medicine, Sleep Medicine Clinics and The American Journal of Medicine.

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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