David Ackerman
Impact in
- Structural Biology top 2%
- Biophysics top 1%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
Papers in
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- Cell Image Analysis Techniques 2
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- Skin and Cellular Biology Research 2
- Co-authors
- Gerald W. Feigenson (7 shared papers)Arti Singh (1 shared paper)Baskar Ganapathysubramanian (1 shared paper)Teshale Assefa (1 shared paper)Jiaoping Zhang (1 shared paper)Soumik Sarkar (1 shared paper)Hsiang Sing Naik (1 shared paper)Asheesh Kumar Singh (1 shared paper)
- Journals
- The Journal of Physical Chemistry B (3 papers)Biophysical Journal (3 papers)eLife (2 papers)Science (1 paper)Cell (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
David Ackerman
16 papers receiving 1.7k citations
David Ackerman's Hit Papers
Peers
Comparison fields: 5 of 129
- Structural Biology 95
- Biophysics 290
- Cellular and Molecular Neuroscience 584
- Aging 45
- Cognitive Neuroscience 329
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 | A connectome and analysis of the adult Drosophila central brain Hit paper breakdown → | 2020 | 672 |
| 2 | Reconstruction of 1,000 Projection Neurons Reveals New Cell Types and Organization of Long-Range Connectivity in the Mouse Brain Hit paper breakdown → | 2019 | 323 |
| 3 | 2021 | 190 | |
| 4 | 2017 | 161 | |
| 5 | 2022 | 100 | |
| 6 | 2017 | 81 | |
| 7 | 2015 | 78 | |
| 8 | 2015 | 54 | |
| 9 | 2023 | 34 | |
| 10 | 2022 | 26 | |
| 11 | 2018 | 21 | |
| 12 | 2013 | 12 | |
| 13 | 2016 | 11 | |
| 14 | 2025 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2018 | 1 |
About David Ackerman
David Ackerman is a scholar working on Biophysics, Cell Biology, Molecular Biology, Atomic and Molecular Physics, and Optics and Biomaterials, having authored 16 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (7 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Protein Structure and Dynamics (2 papers), Skin and Cellular Biology Research (2 papers), Supramolecular Self-Assembly in Materials (2 papers), RNA Interference and Gene Delivery (2 papers), Cell Image Analysis Techniques (2 papers) and Surfactants and Colloidal Systems (2 papers). The work is most often cited by research in Structural Biology (95 citations), Biophysics (290 citations), Cellular and Molecular Neuroscience (584 citations), Aging (45 citations) and Cognitive Neuroscience (329 citations). David Ackerman has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Gerald W. Feigenson, Arti Singh, Baskar Ganapathysubramanian, Teshale Assefa, Jiaoping Zhang, Soumik Sarkar, Hsiang Sing Naik, Asheesh Kumar Singh, Frederick A. Heberle and Aubrey V. Weigel. Their work appears in journals such as The Journal of Physical Chemistry B, Biophysical Journal, eLife, Science and Cell.
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.