Stephen Macha
Impact in
- Spectroscopy top 5%
- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
- Analytical Chemistry top 5%
- Analytical chemistry methods development
Papers in
-
- Mass Spectrometry Techniques and Applications 5
- Analytical Chemistry and Chromatography 4
-
- Analytical chemistry methods development 5
- Co-authors
- Patrick A. Limbach (5 shared papers)I. T. Urasa (3 shared papers)Tracy D. McCarley (1 shared paper)George M. Hilliard (1 shared paper)W. Sean Davidson (1 shared paper)Jianwen Fang (1 shared paper)Kevin G. Owens (1 shared paper)Scott D. Hanton (1 shared paper)
- Journals
- Journal of the American Society for Mass Spectrometry (2 papers)Analytica Chimica Acta (2 papers)Biochemistry (2 papers)Journal of Lipid Research (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- United States
In The Last Decade
Stephen Macha
15 papers receiving 385 citations
Peers
Comparison fields: 5 of 84
- Spectroscopy 160
- Analytical Chemistry 74
- Endocrinology, Diabetes and Metabolism 80
- Computational Mechanics 51
- Biochemistry 18
Countries citing papers authored by Stephen Macha
This map shows the geographic impact of Stephen Macha'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 Stephen Macha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Macha more than expected).
Fields of papers citing papers by Stephen Macha
This network shows the impact of papers produced by Stephen Macha. 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 Stephen Macha. The network helps show where Stephen Macha may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Macha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 86 | |
| 2 | 1999 | 53 | |
| 3 | 2002 | 51 | |
| 4 | 2001 | 48 | |
| 5 | 2000 | 36 | |
| 6 | 2006 | 21 | |
| 7 | 2010 | 21 | |
| 8 | 1996 | 16 | |
| 9 | 1997 | 14 | |
| 10 | 2012 | 13 | |
| 11 | 1999 | 13 | |
| 12 | 2009 | 10 | |
| 13 | 2009 | 9 | |
| 14 | 2010 | 7 | |
| 15 | 2007 | 2 |
About Stephen Macha
Stephen Macha is a scholar working on Spectroscopy, Analytical Chemistry, Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 15 papers that have together received 400 indexed citations. Recurring topics across this work include Analytical chemistry methods development (5 papers), Mass Spectrometry Techniques and Applications (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Analytical Chemistry and Chromatography (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Radioactive element chemistry and processing (2 papers), Lipoproteins and Cardiovascular Health (2 papers) and Heavy metals in environment (2 papers). The work is most often cited by research in Spectroscopy (160 citations), Analytical Chemistry (74 citations), Endocrinology, Diabetes and Metabolism (80 citations), Computational Mechanics (51 citations) and Biochemistry (18 citations). Stephen Macha has collaborated with scholars based in United States. Frequent co-authors include Patrick A. Limbach, I. T. Urasa, Tracy D. McCarley, George M. Hilliard, W. Sean Davidson, Jianwen Fang, Kevin G. Owens, Scott D. Hanton, Leslie Myatt and Rose Webster. Their work appears in journals such as Journal of the American Society for Mass Spectrometry, Analytica Chimica Acta, Biochemistry, Journal of Lipid Research and Journal of Pharmacology and Experimental Therapeutics.
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.