M. Vollmar
Impact in
- Structural Biology top 5%
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Biochemical and Molecular Research
- RNA modifications and cancer
Papers in
-
- Epigenetics and DNA Methylation 2
- RNA modifications and cancer 2
- Cancer-related gene regulation 2
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- Enzyme Structure and Function 5
- Machine Learning in Materials Science 2
- Co-authors
- Gwyndaf Evans (6 shared papers)James M. Parkhurst (5 shared papers)Graeme Winter (4 shared papers)Richard J. Gildea (4 shared papers)Markus Gerstel (3 shared papers)David G. Waterman (3 shared papers)Luis Fuentes‐Montero (3 shared papers)Tara Michels-Clark (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Acta Crystallographica Section D Structural Biology (3 papers)IUCrJ (2 papers)Crystallography Reviews (1 paper)Biochimie (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
M. Vollmar
14 papers receiving 1.5k citations
M. Vollmar's Hit Papers
Peers
Comparison fields: 5 of 109
- Structural Biology 33
- Molecular Biology 946
- Physiology 61
- Immunology 204
- Oncology 241
Countries citing papers authored by M. Vollmar
This map shows the geographic impact of M. Vollmar'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 M. Vollmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Vollmar more than expected).
Fields of papers citing papers by M. Vollmar
This network shows the impact of papers produced by M. Vollmar. 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 M. Vollmar. The network helps show where M. Vollmar may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Vollmar, 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 | DIALS: implementation and evaluation of a new integration package Hit paper breakdown → | 2018 | 723 |
| 2 | 2011 | 199 | |
| 3 | 2014 | 155 | |
| 4 | 2011 | 129 | |
| 5 | 2009 | 99 | |
| 6 | 2014 | 88 | |
| 7 | 2014 | 43 | |
| 8 | 2021 | 15 | |
| 9 | 2019 | 13 | |
| 10 | 2021 | 12 | |
| 11 | 2017 | 10 | |
| 12 | 2017 | 9 | |
| 13 | 2020 | 8 | |
| 14 | 2016 | 5 | |
| 15 | 2024 | 0 |
About M. Vollmar
M. Vollmar is a scholar working on Molecular Biology, Materials Chemistry, Oncology, Rheumatology and Computational Theory and Mathematics, having authored 15 papers that have together received 1.5k indexed citations. Recurring topics across this work include Enzyme Structure and Function (5 papers), Computational Drug Discovery Methods (2 papers), Machine Learning in Materials Science (2 papers), Epigenetics and DNA Methylation (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), RNA modifications and cancer (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Structural Biology (33 citations), Molecular Biology (946 citations), Physiology (61 citations), Immunology (204 citations) and Oncology (241 citations). M. Vollmar has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Gwyndaf Evans, James M. Parkhurst, Graeme Winter, Richard J. Gildea, Markus Gerstel, David G. Waterman, Luis Fuentes‐Montero, Tara Michels-Clark, I.D. Young and Nicholas K. Sauter. Their work appears in journals such as Journal of Biological Chemistry, Acta Crystallographica Section D Structural Biology, IUCrJ, Crystallography Reviews and Biochimie.
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.