Lee Freiburger
Impact in
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- thermodynamics and calorimetric analyses
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- Heat shock proteins research
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- ATP Synthase and ATPases Research
Papers in
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- Protein Structure and Dynamics 10
- Heat shock proteins research 9
- Biochemical and Molecular Research 2
- ATP Synthase and ATPases Research 2
- Machine Learning in Bioinformatics 1
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- Enzyme Structure and Function 8
- Co-authors
- Karine Auclair (8 shared papers)Michael Sattler (10 shared papers)Anthony Mittermaier (7 shared papers)Johannes Büchner (6 shared papers)Daniel A. Rutz (3 shared papers)Tobias Madl (2 shared papers)Albert M. Berghuis (2 shared papers)Bettina K. Zierer (3 shared papers)
In The Last Decade
Lee Freiburger
19 papers receiving 694 citations
Peers
Comparison fields: 5 of 92
- Physical and Theoretical Chemistry 85
- Molecular Biology 549
- Filtration and Separation 15
- Computational Theory and Mathematics 66
- Endocrinology, Diabetes and Metabolism 68
Countries citing papers authored by Lee Freiburger
This map shows the geographic impact of Lee Freiburger'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 Lee Freiburger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee Freiburger more than expected).
Fields of papers citing papers by Lee Freiburger
This network shows the impact of papers produced by Lee Freiburger. 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 Lee Freiburger. The network helps show where Lee Freiburger may publish in the future.
Co-authors
The 25 scholars most cited alongside Lee Freiburger, 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 | 2014 | 122 | |
| 2 | 2015 | 83 | |
| 3 | 2015 | 74 | |
| 4 | 2011 | 69 | |
| 5 | 2009 | 53 | |
| 6 | 2021 | 38 | |
| 7 | 2021 | 35 | |
| 8 | 2007 | 35 | |
| 9 | 2015 | 33 | |
| 10 | 2015 | 31 | |
| 11 | 2017 | 28 | |
| 12 | 2018 | 28 | |
| 13 | 2014 | 21 | |
| 14 | 2011 | 19 | |
| 15 | 2014 | 16 | |
| 16 | 2004 | 9 | |
| 17 | 2011 | 3 | |
| 18 | 2014 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2011 | 0 |
About Lee Freiburger
Lee Freiburger is a scholar working on Molecular Biology, Materials Chemistry, Physical and Theoretical Chemistry, Oncology and Infectious Diseases, having authored 20 papers that have together received 700 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), Heat shock proteins research (9 papers), Enzyme Structure and Function (8 papers), thermodynamics and calorimetric analyses (5 papers), Biochemical and Molecular Research (2 papers), ATP Synthase and ATPases Research (2 papers), Machine Learning in Bioinformatics (1 paper) and Field-Flow Fractionation Techniques (1 paper). The work is most often cited by research in Physical and Theoretical Chemistry (85 citations), Molecular Biology (549 citations), Filtration and Separation (15 citations), Computational Theory and Mathematics (66 citations) and Endocrinology, Diabetes and Metabolism (68 citations). Lee Freiburger has collaborated with scholars based in Germany, Canada and Japan. Frequent co-authors include Karine Auclair, Michael Sattler, Anthony Mittermaier, Johannes Büchner, Daniel A. Rutz, Tobias Madl, Albert M. Berghuis, Bettina K. Zierer, Peijian Zou and Janosch Hennig. Their work appears in journals such as Nature Communications, Journal of Visualized Experiments, Biochemistry, The Journal of Cell Biology and Nature Medicine.
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.