Michael P. Mazanetz

1.0k total citations
16 papers, 802 citations indexed

About

Michael P. Mazanetz is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Michael P. Mazanetz has authored 16 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 4 papers in Materials Chemistry. Recurrent topics in Michael P. Mazanetz's work include Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (7 papers) and Enzyme Structure and Function (4 papers). Michael P. Mazanetz is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (7 papers) and Enzyme Structure and Function (4 papers). Michael P. Mazanetz collaborates with scholars based in United Kingdom, Germany and China. Michael P. Mazanetz's co-authors include Peter M. Fischer, Osamu Ichihara, Richard Law, Yuri Alexeev, Dmitri G. Fedorov, Mark Whittaker, Iñaki Morao, Charles A. Laughton, Julien Michel and Michelle Southey and has published in prestigious journals such as The Journal of Physical Chemistry B, Nature Reviews Drug Discovery and Physical Chemistry Chemical Physics.

In The Last Decade

Michael P. Mazanetz

16 papers receiving 788 citations

Peers

Michael P. Mazanetz
Comparison fields: 5 of 101
  • Molecular Biology 447
  • Computational Theory and Mathematics 229
  • Physiology 223
  • Pharmacology 124
  • Cellular and Molecular Neuroscience 107
Replace Karin Kolmodin with:
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Róbert Kiss Hungary
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Karin Kolmodin Sweden View profile →
Citations per field, relative to Michael P. Mazanetz
Michael P. Mazanetz · 1×
Citations per year, relative to Michael P. Mazanetz
Michael P. Mazanetz · 1×

Countries citing papers authored by Michael P. Mazanetz

Since Specialization
Citations

This map shows the geographic impact of Michael P. Mazanetz'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 P. Mazanetz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael P. Mazanetz more than expected).

Fields of papers citing papers by Michael P. Mazanetz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. Mazanetz. 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 P. Mazanetz. The network helps show where Michael P. Mazanetz may publish in the future.

Co-authorship network of co-authors of Michael P. Mazanetz

This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. Mazanetz. A scholar is included among the top collaborators of Michael P. Mazanetz 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 P. Mazanetz. Michael P. Mazanetz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 6
2 13
3 13
4 24
5 21
6 11
7 8
8 7
9 116
10 80
11 96
12 12
13 6
14 6
15 17
16 366

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.

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