Michael J. Walsh
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 5%
- Pathology and Forensic Medicine top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Virginia E. DavisWerner W. FrankeJ.M. PetersW. W. TourtellotteRobert E. HillmanCharles W. VaughanJoseph S. PerkellEva B. Holmberg
- Topics
- Monoclonal and Polyclonal Antibodies Research (8 papers)Automotive and Human Injury Biomechanics (5 papers)Congenital Heart Disease Studies (4 papers)
- Journals
- NatureScienceThe Lancet
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
Michael J. Walsh
76 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 1.1k
- Cellular and Molecular Neuroscience 544
- Physiology 498
- Pathology and Forensic Medicine 469
- Cardiology and Cardiovascular Medicine 460
Countries citing papers authored by Michael J. Walsh
This map shows the geographic impact of Michael J. Walsh'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. Walsh 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. Walsh more than expected).
Fields of papers citing papers by Michael J. Walsh
This network shows the impact of papers produced by Michael J. Walsh. 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. Walsh. The network helps show where Michael J. Walsh may publish in the future.
Co-authorship network of co-authors of Michael J. Walsh
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Walsh. A scholar is included among the top collaborators of Michael J. Walsh 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. Walsh. Michael J. Walsh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 5 | |
| 3 | 13 | |
| 4 | 13 | |
| 5 | 11 | |
| 6 | 104 | |
| 7 | 53 | |
| 8 | 64 | |
| 9 | 6 | |
| 10 | Potential for phase I/II metabolism of tamoxifen in human endometrium: expression of CYP3A4 and SULT2A1. | 2 |
| 11 | 40 | |
| 12 | 5 | |
| 13 | 23 | |
| 14 | 224 | |
| 15 | 86 | |
| 16 | 133 | |
| 17 | 99 | |
| 18 | Acetaldehyde-induced release and altered metabolism of catecholamines : its role in ethanol actions and the disulfiram - alcohol reaction / | 1 |
| 19 | 44 | |
| 20 | 5 |
About Michael J. Walsh
Michael J. Walsh is a scholar working on Immunology, Immunology and Allergy and Toxicology, having authored 78 papers that have together received 3.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Automotive and Human Injury Biomechanics (5 papers) and Congenital Heart Disease Studies (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (544 citations), Pathology and Forensic Medicine (469 citations) and Speech and Hearing (163 citations). Michael J. Walsh has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Virginia E. Davis, Werner W. Franke, J.M. Peters, W. W. Tourtellotte, Robert E. Hillman, Charles W. Vaughan, Joseph S. Perkell, Eva B. Holmberg, Wallace W. Tourtellotte and Yasumitsu Yamanaka. Their work appears in journals such as Nature, Science and The Lancet.
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.