E. N. Brown

439 citations
16 papers · 295 · h-index 9

Impact in

Papers in

E. N. Brown

15 papers receiving 288 citations

Peers

E. N. Brown
Comparison fields: 5 of 68
  • Cognitive Neuroscience 108
  • Cardiology and Cardiovascular Medicine 107
  • Endocrine and Autonomic Systems 24
  • Anesthesiology and Pain Medicine 15
  • Neurology 39
Replace Mohammad Tabaeizadeh with:
Mohammad Tabaeizadeh United States
John Gade Denmark
Stefan Kampusch Austria
R.W.M. Keunen Netherlands
Trudy Pang United States
Delphine Feuerstein France
Marina Gaínza‐Lein Chile
S. B. Wilson United Kingdom
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Thomas J. M. Verlinden Netherlands
E. N. Brown relative to Mohammad Tabaeizadeh United States Mohammad Tabaeizadeh's profile →
Citations per field
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Mohammad Tabaeizadeh · 1×
Citations per year

Countries citing papers authored by E. N. Brown

Since Specialization
Citations

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

Fields of papers citing papers by E. N. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200582
2 199249
3 200936
4 199623
5 201221
6
Defining the smallest analyte concentration an immunoassay can measure.
199621
7 201120
8 200915
9 200812
10 20046
11 20114
12 20052
13 20122
14 20111
15 20041
16 20120

About E. N. Brown

E. N. Brown is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology, having authored 16 papers that have together received 295 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (6 papers), EEG and Brain-Computer Interfaces (4 papers), Non-Invasive Vital Sign Monitoring (4 papers), Neural dynamics and brain function (4 papers), Advanced Chemical Sensor Technologies (3 papers), Protein purification and stability (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Cognitive Neuroscience (108 citations), Cardiology and Cardiovascular Medicine (107 citations), Endocrine and Autonomic Systems (24 citations), Anesthesiology and Pain Medicine (15 citations) and Neurology (39 citations). E. N. Brown has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Riccardo Barbieri, Lee A. Kearse, Timothy J. McDermott, Kurt J. Bloch, Iahn Cajigas, Wasim Q. Malik, Wendy Suzuki, Michael J. Prerau, Ann M. Graybiel and Uri T. Eden. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Clinical Chemistry, Journal of Clinical Oncology, Journal of Neurophysiology and Stroke.

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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