Germano Heinzelmann
- Molecular Biology
- Cellular and Molecular Neuroscience
- Spectroscopy top 10%
- Computational Theory and Mathematics top 5%
- Biochemistry top 5%
- Co-authors
- Serdar KuyucakMichael K. GilsonTurgut BaştuğNiel M. HenriksenRenae M. RyanRobert J. VandenbergW. FigueiredoPo‐Chia Chen
- Topics
- Protein Structure and Dynamics (12 papers)Surfactants and Colloidal Systems (6 papers)Spectroscopy and Quantum Chemical Studies (6 papers)
- Partner nations
- BrazilAustraliaUnited States
In The Last Decade
Germano Heinzelmann
25 papers receiving 472 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 345
- Cellular and Molecular Neuroscience 115
- Spectroscopy 92
- Computational Theory and Mathematics 89
- Biochemistry 88
Countries citing papers authored by Germano Heinzelmann
This map shows the geographic impact of Germano Heinzelmann'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 Germano Heinzelmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Germano Heinzelmann more than expected).
Fields of papers citing papers by Germano Heinzelmann
This network shows the impact of papers produced by Germano Heinzelmann. 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 Germano Heinzelmann. The network helps show where Germano Heinzelmann may publish in the future.
Co-authorship network of co-authors of Germano Heinzelmann
This figure shows the co-authorship network connecting the top 25 collaborators of Germano Heinzelmann. A scholar is included among the top collaborators of Germano Heinzelmann 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 Germano Heinzelmann. Germano Heinzelmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 25 | |
| 4 | 74 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | Predicting binding free energies: Frontiers and benchmarks (a perpetual review) | 1 |
| 8 | 54 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 12 | |
| 12 | 22 | |
| 13 | 18 | |
| 14 | 55 | |
| 15 | 64 | |
| 16 | 6 | |
| 17 | 32 | |
| 18 | 5 | |
| 19 | 7 | |
| 20 | 12 |
About Germano Heinzelmann
Germano Heinzelmann is a scholar working on Biochemistry, Computational Theory and Mathematics and Organic Chemistry, having authored 25 papers that have together received 477 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Surfactants and Colloidal Systems (6 papers) and Spectroscopy and Quantum Chemical Studies (6 papers). The work is most often cited by research in Biochemistry (88 citations), Cellular and Molecular Neuroscience (115 citations) and Computational Theory and Mathematics (89 citations). Germano Heinzelmann has collaborated with scholars based in Brazil, Australia and United States. Frequent co-authors include Serdar Kuyucak, Michael K. Gilson, Turgut Baştuğ, Niel M. Henriksen, Renae M. Ryan, Robert J. Vandenberg, W. Figueiredo, Po‐Chia Chen, Christine Beeton and Michael W. Pennington. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Chemical Physics and PLoS ONE.
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.