David Ackerman
Impact in
- Structural Biology top 5%
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
-
- Lipid Membrane Structure and Behavior 6
- RNA Interference and Gene Delivery 2
- RNA Research and Splicing 1
-
- Spectroscopy and Quantum Chemical Studies 4
- Co-authors
- Gerald W. Feigenson (6 shared papers)Hsiang Sing Naik (1 shared paper)Aubrey V. Weigel (4 shared papers)Baskar Ganapathysubramanian (1 shared paper)Soumik Sarkar (1 shared paper)Arti Singh (1 shared paper)Teshale Assefa (1 shared paper)Asheesh K. Singh (1 shared paper)
- Journals
- The Journal of Physical Chemistry B (3 papers)Biophysical Journal (2 papers)Plant Methods (1 paper)The Journal of Cell Biology (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- United StatesAustraliaSwitzerland
In The Last Decade
David Ackerman
13 papers receiving 711 citations
Peers
Comparison fields: 5 of 103
- Structural Biology 44
- Biophysics 78
- Molecular Biology 384
- Cell Biology 91
- Analytical Chemistry 38
Countries citing papers authored by David Ackerman
This map shows the geographic impact of David Ackerman'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 David Ackerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Ackerman more than expected).
Fields of papers citing papers by David Ackerman
This network shows the impact of papers produced by David Ackerman. 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 David Ackerman. The network helps show where David Ackerman may publish in the future.
Co-authors
The 25 scholars most cited alongside David Ackerman, 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 | 2021 | 172 | |
| 2 | 2017 | 153 | |
| 3 | 2022 | 87 | |
| 4 | 2017 | 79 | |
| 5 | 2015 | 77 | |
| 6 | 2015 | 50 | |
| 7 | 2023 | 31 | |
| 8 | 2022 | 24 | |
| 9 | 2018 | 21 | |
| 10 | 2013 | 12 | |
| 11 | 2016 | 11 | |
| 12 | 2025 | 3 | |
| 13 | 2022 | 1 |
About David Ackerman
David Ackerman is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Organic Chemistry, Biomaterials and Cell Biology, having authored 13 papers that have together received 721 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (6 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Surfactants and Colloidal Systems (2 papers), RNA Interference and Gene Delivery (2 papers), Supramolecular Self-Assembly in Materials (2 papers), Skin and Cellular Biology Research (2 papers), RNA Research and Splicing (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Structural Biology (44 citations), Biophysics (78 citations), Molecular Biology (384 citations), Cell Biology (91 citations) and Analytical Chemistry (38 citations). David Ackerman has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Gerald W. Feigenson, Hsiang Sing Naik, Aubrey V. Weigel, Baskar Ganapathysubramanian, Soumik Sarkar, Arti Singh, Teshale Assefa, Asheesh K. Singh, Jiaoping Zhang and C. Shan Xu. Their work appears in journals such as The Journal of Physical Chemistry B, Biophysical Journal, Plant Methods, The Journal of Cell Biology and Nature Cell Biology.
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.