Dwaine Machacek
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Biomedical Engineering
- Spectroscopy top 10%
- Behavioral Neuroscience top 5%
- Co-authors
- Ravinder J. SinghRobert L. TaylorPai C. KaoNai‐Siang JiangN S JiangJames P. LandersChing‐Ling LinGillian Lawson
- Topics
- Adrenal Hormones and Disorders (4 papers)Microfluidic and Bio-sensing Technologies (4 papers)Microfluidic and Capillary Electrophoresis Applications (4 papers)
- Journals
- Analytical ChemistryThe Journal of Clinical Endocrinology & MetabolismJournal of Chromatography A
- Partner nations
- United States
In The Last Decade
Dwaine Machacek
12 papers receiving 649 citations
Peers
Comparison fields: 5 of 96
- Endocrinology, Diabetes and Metabolism 325
- Molecular Biology 132
- Biomedical Engineering 128
- Spectroscopy 112
- Behavioral Neuroscience 97
Countries citing papers authored by Dwaine Machacek
This map shows the geographic impact of Dwaine Machacek'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 Dwaine Machacek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dwaine Machacek more than expected).
Fields of papers citing papers by Dwaine Machacek
This network shows the impact of papers produced by Dwaine Machacek. 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 Dwaine Machacek. The network helps show where Dwaine Machacek may publish in the future.
Co-authorship network of co-authors of Dwaine Machacek
This figure shows the co-authorship network connecting the top 25 collaborators of Dwaine Machacek. A scholar is included among the top collaborators of Dwaine Machacek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dwaine Machacek. Dwaine Machacek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 189 | |
| 2 | Diagnosis of adrenal cortical dysfunction by liquid chromatography-tandem mass spectrometry. | 48 |
| 3 | 111 | |
| 4 | 7 | |
| 5 | 43 | |
| 6 | 67 | |
| 7 | 49 | |
| 8 | 65 | |
| 9 | 46 | |
| 10 | Laboratory medicine. Series on clinical testing. 2. Fractionation of urinary ketosteroids. Procedure and clinical significance. | 1 |
| 11 | Further study on the two-column plasma catecholamine assay. | 19 |
| 12 | 18 |
About Dwaine Machacek
Dwaine Machacek is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 12 papers that have together received 663 indexed citations. Recurring topics across this work include Adrenal Hormones and Disorders (4 papers), Microfluidic and Bio-sensing Technologies (4 papers) and Microfluidic and Capillary Electrophoresis Applications (4 papers). The work is most often cited by research in Behavioral Neuroscience (97 citations), Endocrinology, Diabetes and Metabolism (325 citations) and Spectroscopy (112 citations). Dwaine Machacek has collaborated with scholars based in United States. Frequent co-authors include Ravinder J. Singh, Robert L. Taylor, Pai C. Kao, Nai‐Siang Jiang, N S Jiang, James P. Landers, Ching‐Ling Lin, Gillian Lawson, Piero Rinaldo and Jean M. Lacey. Their work appears in journals such as Analytical Chemistry, The Journal of Clinical Endocrinology & Metabolism and Journal of Chromatography A.
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.