W E Neeley

30 papers receiving 523 citations

Peers

W E Neeley
Comparison fields: 5 of 100
  • Endocrinology, Diabetes and Metabolism 71
  • Cardiology and Cardiovascular Medicine 93
  • Cell Biology 63
  • Molecular Biology 243
  • Physiology 83
Replace Norman R. Marquis with:
Norman R. Marquis United States
P.M. Keane Canada
Brody Tm United States
Jacob B. Levine United States
T. C. Huang United States
Richard J L Bondar United States
Matthew W. Noall United States
Barbara R. Rennick United States
H. G. Classen Germany
M. Kuchmak United States
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Citations per year

Countries citing papers authored by W E Neeley

Since Specialization
Citations

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

Fields of papers citing papers by W E Neeley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside W E Neeley, 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 W E Neeley Line = papers co-authored together W E Neeley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986125
2 1972116
3 198372
4 198861
5 197727
6 198220
7 198116
8 198516
9
A cost-effective system for performing therapeutic drug assays. I. Optimization of the theophylline assay.
198513
10 198613
11 198311
12 19749
13 19769
14 19859
15 19828
16
Design and performance of a miniaturized high-speed continuous-flow analyzer.
19745
17 19725
18 19725
19 19744
20 19874

About W E Neeley

W E Neeley is a scholar working on Molecular Biology, Spectroscopy, Biomedical Engineering, Physiology and Endocrinology, Diabetes and Metabolism, having authored 31 papers that have together received 566 indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Clinical Laboratory Practices and Quality Control (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers), Thyroid Disorders and Treatments (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Microfluidic and Bio-sensing Technologies (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (71 citations), Cardiology and Cardiovascular Medicine (93 citations), Cell Biology (63 citations), Molecular Biology (243 citations) and Physiology (83 citations). W E Neeley has collaborated with scholars based in United States and Canada. Frequent co-authors include Wolfgang Dillmann, A Barrieux, J. David Phillipson, Hina Mehta, Brian D. Guth, Jeffrey Ross, P Contreras, Nicholas M. Alexander, Helen C. Sing and Ravi Shanker. Their work appears in journals such as Clinical Chemistry, American Journal of Clinical Pathology, Circulation Research, American Journal of Physiology-Endocrinology and Metabolism and Journal of Molecular and Cellular Cardiology.

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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