Michael W. Shaw
- Epidemiology top 0.5%
- Infectious Diseases top 0.5%
- Agronomy and Crop Science top 0.2%
- Molecular Biology top 10%
- Immunology top 2%
- Co-authors
- Alexander KlimovNancy J. CoxKanta SubbaraoXiyan XuJacqueline M. KatzHenrietta HallCatherine SmithPurnell W. Choppin
- Topics
- Influenza Virus Research Studies (44 papers)Respiratory viral infections research (28 papers)Prostate Cancer Treatment and Research (18 papers)
- Partner nations
- United StatesUnited KingdomThailand
In The Last Decade
Michael W. Shaw
98 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Epidemiology 4.3k
- Infectious Diseases 1.7k
- Agronomy and Crop Science 1.4k
- Molecular Biology 1.2k
- Immunology 1.0k
Countries citing papers authored by Michael W. Shaw
This map shows the geographic impact of Michael W. Shaw'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 W. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael W. Shaw more than expected).
Fields of papers citing papers by Michael W. Shaw
This network shows the impact of papers produced by Michael W. Shaw. 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 W. Shaw. The network helps show where Michael W. Shaw may publish in the future.
Co-authorship network of co-authors of Michael W. Shaw
This figure shows the co-authorship network connecting the top 25 collaborators of Michael W. Shaw. A scholar is included among the top collaborators of Michael W. Shaw 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 W. Shaw. Michael W. Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Hospital-Wide Medication Reconciliation Program: Error Identification, Cost-Effectiveness, and Detecting High-Risk Individuals on Admission | 1 |
| 2 | 21 | |
| 3 | 28 | |
| 4 | 6 | |
| 5 | 72 | |
| 6 | 1 | |
| 7 | 18 | |
| 8 | 73 | |
| 9 | 42 | |
| 10 | 48 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 14 | |
| 14 | 3 | |
| 15 | 11 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 8 | |
| 19 | 7 | |
| 20 | 41 |
About Michael W. Shaw
Michael W. Shaw is a scholar working on Epidemiology, Immunology and Virology, having authored 100 papers that have together received 5.8k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (44 papers), Respiratory viral infections research (28 papers) and Prostate Cancer Treatment and Research (18 papers). The work is most often cited by research in Agronomy and Crop Science (1.4k citations), Epidemiology (4.3k citations) and Infectious Diseases (1.7k citations). Michael W. Shaw has collaborated with scholars based in United States, United Kingdom and Thailand. Frequent co-authors include Alexander Klimov, Nancy J. Cox, Kanta Subbarao, Xiyan Xu, Jacqueline M. Katz, Henrietta Hall, Catherine Smith, Purnell W. Choppin, Thomas Rowe and Catherine A. Bender. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.