Craig R. Forest

4.7k total citations · 1 hit paper
90 papers, 3.2k citations indexed

About

Craig R. Forest is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Craig R. Forest has authored 90 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Biomedical Engineering, 33 papers in Cellular and Molecular Neuroscience and 27 papers in Cognitive Neuroscience. Recurrent topics in Craig R. Forest's work include Neuroscience and Neural Engineering (26 papers), Neural dynamics and brain function (25 papers) and Neuroscience and Neuropharmacology Research (13 papers). Craig R. Forest is often cited by papers focused on Neuroscience and Neural Engineering (26 papers), Neural dynamics and brain function (25 papers) and Neuroscience and Neuropharmacology Research (13 papers). Craig R. Forest collaborates with scholars based in United States, Switzerland and Russia. Craig R. Forest's co-authors include Peter A. Carr, George Xu, Harris H. Wang, Zachary Z. Sun, Farren J. Isaacs, George M. Church, Edward S. Boyden, Suhasa B. Kodandaramaiah, David N. Ku and Nathan Hotaling and has published in prestigious journals such as Nature, Angewandte Chemie International Edition and Journal of Clinical Investigation.

In The Last Decade

Craig R. Forest

86 papers receiving 3.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Programming cells by multiplex genome engineering and accelerated evolution

2009 1.2k citations Craig R. Forest et al. profile →

Peers

Craig R. Forest

MB

BE

CMN

CN

GENET

Hang Lu United States

Su Wang China

Dawen Cai United States

Arthur Edelstein United States

Nenad Amodaj Serbia

Nan Liu China

Carsen Stringer United States

Eiry Kobatake Japan

Xue Han United States

Marius Pachitariu United States

Hang Lu United States

Craig R. Forest

1.8k ×1.2

MB

2.3k ×2.5

BE

1.2k ×1.6

CMN

167 ×0.4

CN

248 ×0.6

GENET

Citations per year, relative to Craig R. Forest Craig R. Forest (= 1×) peers Hang Lu

Countries citing papers authored by Craig R. Forest

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

1.

Kim, John, et al.. (2023). A drug‐selectable acoustic reporter gene system for human cell ultrasound imaging. Bioengineering & Translational Medicine. 9(2). e10584–e10584. 2 indexed citations

2.

Li, David S., et al.. (2022). Perfluorocarbon nanodroplet size, acoustic vaporization, and inertial cavitation affected by lipid shell composition in vitro. The Journal of the Acoustical Society of America. 152(4). 2493–2504. 12 indexed citations

3.

Yip, Mighten C., et al.. (2021). Machine Learning-Based Pipette Positional Correction for Automatic Patch ClampIn Vitro. eNeuro. 8(4). ENEURO.0051–21.2021. 5 indexed citations

4.

Yip, Mighten C., et al.. (2021). Deep learning-based real-time detection of neurons in brain slices for in vitro physiology. Scientific Reports. 11(1). 6065–6065. 10 indexed citations

5.

Kolb, Ilya, Mighten C. Yip, William Stoy, et al.. (2019). PatcherBot: a single-cell electrophysiology robot for adherent cells and brain slices. Journal of Neural Engineering. 16(4). 46003–46003. 29 indexed citations

6.

Wan, Qin, Arvydas Maminishkis, William Stoy, et al.. (2019). High-yield, automated intracellular electrophysiology in retinal pigment epithelia. Journal of Neuroscience Methods. 328. 108442–108442. 2 indexed citations

7.

Kumar, Aditi, Derrick Brittain, Sam Kinn, et al.. (2018). Large-scale neuroanatomy using LASSO: Loop-based Automated Serial Sectioning Operation. PLoS ONE. 13(10). e0206172–e0206172. 7 indexed citations

8.

Kolb, Ilya, Giovanni Talei Franzesi, Suhasa B. Kodandaramaiah, et al.. (2018). Evidence for Long-Timescale Patterns of Synaptic Inputs in CA1 of Awake Behaving Mice. Journal of Neuroscience Nursing. 38(7). 1821–1834. 4 indexed citations

9.

Bumbarger, Daniel J., et al.. (2018). Transport and trapping of nanosheets via hydrodynamic forces and curvature-induced capillary quadrupolar interactions. Journal of Colloid and Interface Science. 531. 352–359. 3 indexed citations

10.

Singer, Annabelle C., Giovanni Talei Franzesi, Suhasa B. Kodandaramaiah, et al.. (2017). Mesoscale-duration activated states gate spiking in response to fast rises in membrane voltage in the awake brain. Journal of Neurophysiology. 118(2). 1270–1291. 4 indexed citations

11.

Kolb, Ilya, Giovanni Talei Franzesi, Suhasa B. Kodandaramaiah, et al.. (2017). Evidence for Long-Timescale Patterns of Synaptic Inputs in CA1 of Awake Behaving Mice. Journal of Neuroscience. 38(7). 1821–1834. 9 indexed citations

12.

Holst, Gregory L., et al.. (2016). Optical method for automated measurement of glass micropipette tip geometry. Precision Engineering. 46. 88–95. 8 indexed citations

13.

Kodandaramaiah, Suhasa B., Gregory L. Holst, Ian R. Wickersham, et al.. (2016). Assembly and operation of the autopatcher for automated intracellular neural recording in vivo. Nature Protocols. 11(4). 634–654. 43 indexed citations

14.

Tyburski, Erika A., Scott Gillespie, William Stoy, et al.. (2014). Disposable platform provides visual and color-based point-of-care anemia self-testing. Journal of Clinical Investigation. 124(10). 4387–4394. 46 indexed citations

15.

Forest, Craig R., Roxanne Moore, Barbara Fasse, et al.. (2014). The Invention Studio: A University Maker Space and Culture.. AEE Journal. 4(2). 95 indexed citations

16.

Busskamp, Volker, Andrew J. Young, Masaaki Ogawa, et al.. (2014). Noninvasive optical inhibition with a red-shifted microbial rhodopsin. DSpace@MIT (Massachusetts Institute of Technology). 375 indexed citations

17.

Kodandaramaiah, Suhasa B., Giovanni Talei Franzesi, Brian Y. Chow, Edward S. Boyden, & Craig R. Forest. (2012). Automated whole-cell patch-clamp electrophysiology of neurons in vivo. Nature Methods. 9(6). 585–587. 3 indexed citations

18.

Pak, Nikita, et al.. (2012). Plug-and-play, infrared, laser-mediated PCR in a microfluidic chip. Biomedical Microdevices. 14(2). 427–433. 22 indexed citations

19.

Nicolau, Stéphane, et al.. (2011). A Cost Effective Simulator for Education of Ultrasound Image Interpretation and Probe Manipulation. Studies in health technology and informatics. 163. 403–7. 8 indexed citations

20.

Forest, Craig R., et al.. (2004). Static and Dynamic Optical Metrology of Micro-Mirror Thermal Deformation. TechConnect Briefs. 2(2004). 363–366. 2 indexed citations

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.

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