Lynette Brown

18 papers receiving 635 citations

Peers

Lynette Brown
Comparison fields: 5 of 67
  • Internal Medicine 72
  • Pulmonary and Respiratory Medicine 426
  • Genetics 93
  • Cardiology and Cardiovascular Medicine 182
  • Critical Care and Intensive Care Medicine 24
Replace K Kawano with:
K Kawano Japan
Munemasa Okada Japan
Xiaoqiang Li China
Sara Kinhult Sweden
J. Kuban United States
Florian Stellmacher Germany
K. Leopold United States
Jana Taron Germany
Maria Kokosi United Kingdom
L. A. Hawkins United Kingdom
Lynette Brown relative to K Kawano Japan K Kawano's profile →
Citations per field
00.5×10×15×21×
K Kawano · 1×
Citations per year

Countries citing papers authored by Lynette Brown

Since Specialization
Citations

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

Fields of papers citing papers by Lynette Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2011200
2 2013138
3 201258
4 201852
5 201651
6 201040
7 201024
8 201521
9 199216
10 201815
11 20149
12 20107
13 20225
14 20195
15 20214
16 20203
17 20082
18 20102

About Lynette Brown

Lynette Brown is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Immunology, Molecular Biology and Internal Medicine, having authored 18 papers that have together received 652 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (7 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Single-cell and spatial transcriptomics (3 papers), Vascular Anomalies and Treatments (2 papers), Immune Cell Function and Interaction (2 papers), Cell Image Analysis Techniques (2 papers), Chalcogenide Semiconductor Thin Films (1 paper) and Cardiovascular Effects of Exercise (1 paper). The work is most often cited by research in Internal Medicine (72 citations), Pulmonary and Respiratory Medicine (426 citations), Genetics (93 citations), Cardiology and Cardiovascular Medicine (182 citations) and Critical Care and Intensive Care Medicine (24 citations). Lynette Brown has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include C. Gregory Elliott, Mark Dodson, Darren B. Taichman, Michael D. McGoon, Harrison W. Farber, Scott D. Halpern, Adaani Frost, Hubert Chen, Theodore G. Liou and Kathy Feldkircher. Their work appears in journals such as CHEST Journal, Journal of Immunological Methods, Heart Failure Clinics, Clinics in Chest Medicine and Current Protocols in Cytometry.

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.

Explore authors with similar magnitude of impact