Mieczyslaw Torchala
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- Computational Drug Discovery Methods 4
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- Protein Structure and Dynamics 12
- Photosynthetic Processes and Mechanisms 3
- RNA and protein synthesis mechanisms 3
- Machine Learning in Bioinformatics 2
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- Enzyme Structure and Function 2
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- Advanced Thermodynamics and Statistical Mechanics 2
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- Bacteriophages and microbial interactions 1
- Co-authors
- Paul A. BatesIain H. MoalJuan Fernández‐RecioRaphaël A. G. ChaleilZhiping WengThom VrevenBrian Jiménez‐GarcíaAnna Vangone
- Journals
- Bioinformatics (2 papers)Proteins Structure Function and Bioinformatics (2 papers)The Journal of Physical Chemistry B (2 papers)
- Partner nations
- United KingdomPolandSpain
In The Last Decade
Mieczyslaw Torchala
17 papers receiving 753 citations
Peers
Comparison fields: 5 of 75
- Computational Theory and Mathematics 255
- Molecular Biology 682
- Materials Chemistry 202
- Radiology, Nuclear Medicine and Imaging 96
- Cell Biology 53
Countries citing papers authored by Mieczyslaw Torchala
This map shows the geographic impact of Mieczyslaw Torchala'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 Mieczyslaw Torchala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mieczyslaw Torchala more than expected).
Fields of papers citing papers by Mieczyslaw Torchala
This network shows the impact of papers produced by Mieczyslaw Torchala. 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 Mieczyslaw Torchala. The network helps show where Mieczyslaw Torchala may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Mieczyslaw Torchala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2020 | 2 | |
| 3 | 2019 | 15 | |
| 4 | 2017 | 26 | |
| 5 | 2015 | 304 | |
| 6 | 2014 | 24 | |
| 7 | 2014 | 3 | |
| 8 | 2013 | 86 | |
| 9 | 2013 | 30 | |
| 10 | 2013 | 3 | |
| 11 | 2013 | 222 | |
| 12 | 2013 | 30 | |
| 13 | 2012 | 2 | |
| 14 | 2008 | 6 | |
| 15 | 2008 | 4 | |
| 16 | 2007 | 3 | |
| 17 | 2003 | 2 |
About Mieczyslaw Torchala
Mieczyslaw Torchala is a scholar working on Computational Theory and Mathematics, Statistical and Nonlinear Physics, Molecular Biology, Biophysics and Hardware and Architecture, having authored 17 papers that have together received 763 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Computational Drug Discovery Methods (4 papers), Photosynthetic Processes and Mechanisms (3 papers), RNA and protein synthesis mechanisms (3 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Machine Learning in Bioinformatics (2 papers), Enzyme Structure and Function (2 papers) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Computational Theory and Mathematics (255 citations), Molecular Biology (682 citations), Materials Chemistry (202 citations), Radiology, Nuclear Medicine and Imaging (96 citations) and Cell Biology (53 citations). Mieczyslaw Torchala has collaborated with scholars based in United Kingdom, Poland and Spain. Frequent co-authors include Paul A. Bates, Iain H. Moal, Juan Fernández‐Recio, Raphaël A. G. Chaleil, Zhiping Weng, Thom Vreven, Brian Jiménez‐García, Anna Vangone, Panagiotis L. Kastritis and Brian G. Pierce. Their work appears in journals such as Bioinformatics, Proteins Structure Function and Bioinformatics, The Journal of Physical Chemistry B, The European Physical Journal B and PLoS Computational Biology.
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.