Michael G. Zagorski
- Molecular Biology top 2%
- Physiology top 0.5%
- Computational Theory and Mathematics top 0.5%
- Pharmacology top 1%
- Biomaterials top 2%
- Co-authors
- Colin J. BarrowHaiyan ShaoLiming HouPeter T.M. KennyKan MaNakul C. MaitiPaul CareyMihaela Apetri
- Topics
- Alzheimer's disease research and treatments (29 papers)Protein Structure and Dynamics (15 papers)Drug Transport and Resistance Mechanisms (6 papers)
- Partner nations
- United StatesJapanPoland
In The Last Decade
Michael G. Zagorski
67 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 3.4k
- Physiology 3.4k
- Computational Theory and Mathematics 811
- Pharmacology 806
- Biomaterials 669
Countries citing papers authored by Michael G. Zagorski
This map shows the geographic impact of Michael G. Zagorski'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 G. Zagorski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael G. Zagorski more than expected).
Fields of papers citing papers by Michael G. Zagorski
This network shows the impact of papers produced by Michael G. Zagorski. 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 G. Zagorski. The network helps show where Michael G. Zagorski may publish in the future.
Co-authorship network of co-authors of Michael G. Zagorski
This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Zagorski. A scholar is included among the top collaborators of Michael G. Zagorski 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 G. Zagorski. Michael G. Zagorski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 203 | |
| 2 | 149 | |
| 3 | 21 | |
| 4 | 148 | |
| 5 | 236 | |
| 6 | 75 | |
| 7 | 190 | |
| 8 | 62 | |
| 9 | 127 | |
| 10 | 159 | |
| 11 | 263 | |
| 12 | 293 | |
| 13 | 4 | |
| 14 | 131 | |
| 15 | Solution conformations and aggregational properties of synthetic amyloid β-peptides of Alzheimer's diseasebreakdown → | 571 |
| 16 | 39 | |
| 17 | 15 | |
| 18 | 66 | |
| 19 | 5 | |
| 20 | 22 |
About Michael G. Zagorski
Michael G. Zagorski is a scholar working on Physiology, Biological Psychiatry and Spectroscopy, having authored 67 papers that have together received 6.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (29 papers), Protein Structure and Dynamics (15 papers) and Drug Transport and Resistance Mechanisms (6 papers). The work is most often cited by research in Physiology (3.4k citations), Biological Psychiatry (196 citations) and Computational Theory and Mathematics (811 citations). Michael G. Zagorski has collaborated with scholars based in United States, Japan and Poland. Frequent co-authors include Colin J. Barrow, Haiyan Shao, Liming Hou, Peter T.M. Kenny, Kan Ma, Nakul C. Maiti, Paul Carey, Mihaela Apetri, Vernon Anderson and Yongbo Zhang. Their work appears in journals such as Science, Journal of the American Chemical Society and Journal of Biological 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.