Don C. Lamb
Impact in
- Biophysics top 0.1%
- Advanced Fluorescence Microscopy Techniques
- Structural Biology top 1%
Papers in
- Biophysics 45
- Advanced Fluorescence Microscopy Techniques 39
- Virology 13
- HIV Research and Treatment 13
- Co-authors
- Christoph BräuchleWaldemar SchrimpfEvgeny ZaychikovJelle HendrixG. Ulrich NienhausAurélie DupontBárbara MüllerAnders Barth
- Journals
- Biophysical Journal (25 papers)Proceedings of the National Academy of Sciences (7 papers)Nature Communications (6 papers)Journal of the American Chemical Society (5 papers)Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (4 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Don C. Lamb
150 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Biophysics 1.2k
- Structural Biology 139
- Virology 427
- Cell Biology 992
- Molecular Biology 4.1k
Countries citing papers authored by Don C. Lamb
This map shows the geographic impact of Don C. Lamb'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 Don C. Lamb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Don C. Lamb more than expected).
Fields of papers citing papers by Don C. Lamb
This network shows the impact of papers produced by Don C. Lamb. 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 Don C. Lamb. The network helps show where Don C. Lamb may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Don C. Lamb, 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 | 2024 | 13 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 21 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 23 | |
| 12 | 2020 | 42 | |
| 13 | 2018 | 21 | |
| 14 | A self-assembled nanoscale robotic arm controlled by electric fields Hit paper breakdown → | 2018 | 303 |
| 15 | 2017 | 13 | |
| 16 | 2016 | 51 | |
| 17 | 2013 | 38 | |
| 18 | 2013 | 1 | |
| 19 | 2012 | 36 | |
| 20 | 2008 | 28 |
About Don C. Lamb
Don C. Lamb is a scholar working on Biophysics, Virology, Structural Biology, Cell Biology and Molecular Biology, having authored 153 papers that have together received 6.6k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (39 papers), Protein Structure and Dynamics (26 papers), Advanced biosensing and bioanalysis techniques (25 papers), Heat shock proteins research (17 papers), RNA Interference and Gene Delivery (14 papers), Hemoglobin structure and function (14 papers), HIV Research and Treatment (13 papers) and DNA and Nucleic Acid Chemistry (11 papers). The work is most often cited by research in Biophysics (1.2k citations), Structural Biology (139 citations), Virology (427 citations), Cell Biology (992 citations) and Molecular Biology (4.1k citations). Don C. Lamb has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Christoph Bräuchle, Waldemar Schrimpf, Evgeny Zaychikov, Jelle Hendrix, G. Ulrich Nienhaus, Aurélie Dupont, Bárbara Müller, Anders Barth, Stefan Wuttke and Friedrich C. Simmel. Their work appears in journals such as Biophysical Journal, Proceedings of the National Academy of Sciences, Nature Communications, Journal of the American Chemical Society and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.
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.