Gerald Platzer
- Spectroscopy top 5%
- Mass Spectrometry Techniques and Applications 5
- Molecular spectroscopy and chirality 4
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- Protein Structure and Dynamics 13
- dental development and anomalies 2
- Biophysics top 10%
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- Bone and Dental Protein Studies 3
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- Enzyme Structure and Function 10
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- Computational Drug Discovery Methods 4
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- Crystallography and molecular interactions 2
- Co-authors
- Mark OkonLawrence P. McIntoshCarolyn A. FitchBertrand García‐Moreno E.Robert KonratThomas C. SchwarzDennis KurzbachDariush Hinderberger
- Journals
- Biochemistry (3 papers)Journal of Biomolecular NMR (2 papers)Angewandte Chemie International Edition (2 papers)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Gerald Platzer
22 papers receiving 895 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Spectroscopy 172
- Molecular Biology 565
- Biophysics 36
- Biomaterials 77
- Rheumatology 71
Countries citing papers authored by Gerald Platzer
This map shows the geographic impact of Gerald Platzer'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 Gerald Platzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Platzer more than expected).
Fields of papers citing papers by Gerald Platzer
This network shows the impact of papers produced by Gerald Platzer. 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 Gerald Platzer. The network helps show where Gerald Platzer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gerald Platzer, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 4 | |
| 6 | 2021 | 16 | |
| 7 | 2020 | 1 | |
| 8 | 2020 | 13 | |
| 9 | 2020 | 57 | |
| 10 | 2018 | 9 | |
| 11 | 2018 | 23 | |
| 12 | 2018 | 24 | |
| 13 | 2015 | 7 | |
| 14 | Arginine: Its pK a value revisited | 2015 | 7 |
| 15 | Arginine: Its pKa value revisitedbreakdown → | 2015 | 300 |
| 16 | 2014 | 180 | |
| 17 | 2014 | 55 | |
| 18 | 2014 | 10 | |
| 19 | 2011 | 62 | |
| 20 | 1975 | 18 |
About Gerald Platzer
Gerald Platzer is a scholar working on Spectroscopy, Computational Theory and Mathematics, Molecular Biology, Materials Chemistry and Physical and Theoretical Chemistry, having authored 24 papers that have together received 905 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (13 papers), Enzyme Structure and Function (10 papers), Mass Spectrometry Techniques and Applications (5 papers), Computational Drug Discovery Methods (4 papers), Molecular spectroscopy and chirality (4 papers), Bone and Dental Protein Studies (3 papers), Crystallography and molecular interactions (2 papers) and dental development and anomalies (2 papers). The work is most often cited by research in Spectroscopy (172 citations), Molecular Biology (565 citations), Biophysics (36 citations), Biomaterials (77 citations) and Rheumatology (71 citations). Gerald Platzer has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Mark Okon, Lawrence P. McIntosh, Carolyn A. Fitch, Bertrand García‐Moreno E., Robert Konrat, Thomas C. Schwarz, Dennis Kurzbach, Dariush Hinderberger, Morkos A. Henen and Leonhard Geist. Their work appears in journals such as Biochemistry, Journal of Biomolecular NMR, Angewandte Chemie International Edition, Journal of Molecular Biology and Journal of the American Chemical Society.
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.