Michael J. Welch
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 2%
- Spectroscopy top 2%
- Surgery
- Physiology top 10%
- Co-authors
- Susan S.-C. TaiLorna T. SniegoskiEdward WhiteDavid M. BunkAlex CohenHarry S. HertzRobert SchafferBei Xu
- Topics
- Mass Spectrometry Techniques and Applications (24 papers)Hormonal and reproductive studies (19 papers)Metabolomics and Mass Spectrometry Studies (14 papers)
- Partner nations
- United StatesUnited KingdomEgypt
In The Last Decade
Michael J. Welch
111 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 166
- Molecular Biology 665
- Endocrinology, Diabetes and Metabolism 555
- Spectroscopy 486
- Surgery 276
- Physiology 202
Countries citing papers authored by Michael J. Welch
This map shows the geographic impact of Michael J. Welch'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 Michael J. Welch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Welch more than expected).
Fields of papers citing papers by Michael J. Welch
This network shows the impact of papers produced by Michael J. Welch. 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 Michael J. Welch. The network helps show where Michael J. Welch may publish in the future.
Co-authorship network of co-authors of Michael J. Welch
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Welch. A scholar is included among the top collaborators of Michael J. Welch 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 Michael J. Welch. Michael J. Welch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 82 | |
| 2 | 17 | |
| 3 | Certification of Creatinine in a Human Serum Reference Material by GC-MS and LC-MS | 0 |
| 4 | 52 | |
| 5 | 40 | |
| 6 | 22 | |
| 7 | 15 | |
| 8 | 45 | |
| 9 | 11 | |
| 10 | 22 | |
| 11 | Growth of high-performance InP IMPATT diodes by metalorganic chemical vapor deposition | 1 |
| 12 | 12 | |
| 13 | 10 | |
| 14 | 13 | |
| 15 | 11 | |
| 16 | Remote system for the routine production of [11C]-methyl albumin. Application to pulmonary studies. | 1 |
| 17 | 96 | |
| 18 | 18 | |
| 19 | Total serum cholesterol by isotope dilution/mass spectrometry: a candidate definitive method. | 102 |
| 20 | 7 |
About Michael J. Welch
Michael J. Welch is a scholar working on Toxicology, Spectroscopy and Clinical Biochemistry, having authored 115 papers that have together received 2.8k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (24 papers), Hormonal and reproductive studies (19 papers) and Metabolomics and Mass Spectrometry Studies (14 papers). The work is most often cited by research in Toxicology (189 citations), Endocrinology, Diabetes and Metabolism (555 citations) and Spectroscopy (486 citations). Michael J. Welch has collaborated with scholars based in United States, United Kingdom and Egypt. Frequent co-authors include Susan S.-C. Tai, Lorna T. Sniegoski, Edward White, David M. Bunk, Alex Cohen, Harry S. Hertz, Robert Schaffer, Bei Xu, Karen W. Phinney and Junghoo Cho. Their work appears in journals such as Journal of Clinical Investigation, Journal of Applied Physics and Analytical Chemistry.
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.