Craig R. Forest
About
In The Last Decade
Craig R. Forest
86 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 1.5k
- Biomedical Engineering 921
- Cellular and Molecular Neuroscience 765
- Cognitive Neuroscience 433
- Genetics 419
Countries citing papers authored by Craig R. Forest
This map shows the geographic impact of Craig R. Forest'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 Craig R. Forest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig R. Forest more than expected).
Fields of papers citing papers by Craig R. Forest
This network shows the impact of papers produced by Craig R. Forest. 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 Craig R. Forest. The network helps show where Craig R. Forest may publish in the future.
Co-authorship network of co-authors of Craig R. Forest
This figure shows the co-authorship network connecting the top 25 collaborators of Craig R. Forest. A scholar is included among the top collaborators of Craig R. Forest 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 Craig R. Forest. Craig R. Forest is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | A drug‐selectable acoustic reporter gene system for human cell ultrasound imaging | Bioengineering & Translational Medicine | John Kim, Craig R. Forest et al. | 2 |
| 2 | Perfluorocarbon nanodroplet size, acoustic vaporization, and inertial cavitation affected by lipid shell composition in vitro | The Journal of the Acoustical Society of America | David S. Li, Craig R. Forest et al. | 12 |
| 3 | Machine Learning-Based Pipette Positional Correction for Automatic Patch ClampIn Vitro | eNeuro | Mighten C. Yip, Craig R. Forest et al. | 5 |
| 4 | Deep learning-based real-time detection of neurons in brain slices for in vitro physiology | Scientific Reports | Mighten C. Yip, Christopher R. Valenta et al. | 10 |
| 5 | PatcherBot: a single-cell electrophysiology robot for adherent cells and brain slices | Journal of Neural Engineering | Ilya Kolb, Mighten C. Yip et al. | 29 |
| 6 | High-yield, automated intracellular electrophysiology in retinal pigment epithelia | Journal of Neuroscience Methods | Qin Wan, Arvydas Maminishkis et al. | 2 |
| 7 | Large-scale neuroanatomy using LASSO: Loop-based Automated Serial Sectioning Operation | PLoS ONE | Aditi Kumar, Derrick Brittain et al. | 7 |
| 8 | Evidence for Long-Timescale Patterns of Synaptic Inputs in CA1 of Awake Behaving Mice | Journal of Neuroscience Nursing | Ilya Kolb, Giovanni Talei Franzesi et al. | 4 |
| 9 | Transport and trapping of nanosheets via hydrodynamic forces and curvature-induced capillary quadrupolar interactions | Journal of Colloid and Interface Science | Daniel J. Bumbarger, Peter J. Yunker et al. | 3 |
| 10 | Mesoscale-duration activated states gate spiking in response to fast rises in membrane voltage in the awake brain | Journal of Neurophysiology | Annabelle C. Singer, Giovanni Talei Franzesi et al. | 4 |
| 11 | Evidence for Long-Timescale Patterns of Synaptic Inputs in CA1 of Awake Behaving Mice | Journal of Neuroscience | Ilya Kolb, Giovanni Talei Franzesi et al. | 9 |
| 12 | Optical method for automated measurement of glass micropipette tip geometry | Precision Engineering | Gregory L. Holst, William Stoy et al. | 8 |
| 13 | Assembly and operation of the autopatcher for automated intracellular neural recording in vivo | Nature Protocols | Suhasa B. Kodandaramaiah, Gregory L. Holst et al. | 43 |
| 14 | Disposable platform provides visual and color-based point-of-care anemia self-testing | Journal of Clinical Investigation | Erika A. Tyburski, Scott Gillespie et al. | 46 |
| 15 | The Invention Studio: A University Maker Space and Culture. | AEE Journal | Craig R. Forest, Roxanne Moore et al. | 95 |
| 16 | Noninvasive optical inhibition with a red-shifted microbial rhodopsin | DSpace@MIT (Massachusetts Institute of Technology) | Volker Busskamp, Andrew J. Young et al. | 375 |
| 17 | Automated whole-cell patch-clamp electrophysiology of neurons in vivo | Nature Methods | Suhasa B. Kodandaramaiah, Giovanni Talei Franzesi et al. | 3 |
| 18 | Plug-and-play, infrared, laser-mediated PCR in a microfluidic chip | Biomedical Microdevices | Nikita Pak, Craig R. Forest et al. | 22 |
| 19 | A Cost Effective Simulator for Education of Ultrasound Image Interpretation and Probe Manipulation | Studies in health technology and informatics | Stéphane Nicolau, Alexandre Hostettler et al. | 8 |
| 20 | Static and Dynamic Optical Metrology of Micro-Mirror Thermal Deformation | TechConnect Briefs | Craig R. Forest, J. S. Harris et al. | 2 |
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.