Rick I. Cohen

2.0k total citations
32 papers, 1.6k citations indexed

About

Rick I. Cohen is a scholar working on Molecular Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rick I. Cohen has authored 32 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Developmental Neuroscience and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rick I. Cohen's work include Neurogenesis and neuroplasticity mechanisms (8 papers), Pluripotent Stem Cells Research (7 papers) and 3D Printing in Biomedical Research (4 papers). Rick I. Cohen is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (8 papers), Pluripotent Stem Cells Research (7 papers) and 3D Printing in Biomedical Research (4 papers). Rick I. Cohen collaborates with scholars based in United States, Canada and Netherlands. Rick I. Cohen's co-authors include Guillermina Almazán, Philip Leder, Michael C. Naski, Chu‐Xia Deng, Xiaoling Xu, David M. Ornitz, Michael Weinstein, Cuiling Li, Karen J. Chandross and John A. Kessler and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Development.

In The Last Decade

Rick I. Cohen

30 papers receiving 1.6k citations

Peers

Rick I. Cohen

CMN

GENET

Atsuyo Yamamoto Japan

B. Matthew Fagan United States

Jianyong Shou United States

Scott R. Hutton United States

Jelle van den Ameele United Kingdom

Rajini Srinivasan United States

Roger Pedersen United Kingdom

Francesca E. Mackenzie United Kingdom

Tammy L. McGuire United States

Cory R. Nicholas United States

Atsuyo Yamamoto Japan

Rick I. Cohen

1.1k ×1.1

418 ×1.0

CMN

399 ×1.2

196 ×0.9

GENET

111 ×0.7

Citations per year, relative to Rick I. Cohen Rick I. Cohen (= 1×) peers Atsuyo Yamamoto

Countries citing papers authored by Rick I. Cohen

Since Specialization

Citations

This map shows the geographic impact of Rick I. Cohen'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 Rick I. Cohen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rick I. Cohen more than expected).

Fields of papers citing papers by Rick I. Cohen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rick I. Cohen. 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 Rick I. Cohen. The network helps show where Rick I. Cohen may publish in the future.

Co-authorship network of co-authors of Rick I. Cohen

This figure shows the co-authorship network connecting the top 25 collaborators of Rick I. Cohen. A scholar is included among the top collaborators of Rick I. Cohen 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 Rick I. Cohen. Rick I. Cohen 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

Kyker‐Snowman, Kelly, Rick I. Cohen, Huan Wang, et al.. (2025). N-Cadherin based adhesion and Rac1 activity regulate tension polarization in the actin cortex. Scientific Reports. 15(1). 4296–4296. 1 indexed citations

Yang, Ge, Hajar Owji, Rick I. Cohen, et al.. (2024). Bispecific immune cell engager enhances the anticancer activity of CD16+ NK cells and macrophages in vitro, and eliminates cancer metastasis in NK humanized NOG mice. Journal for ImmunoTherapy of Cancer. 12(3). e008295–e008295. 13 indexed citations

Cohen, Rick I., et al.. (2024). Comparison of vinculin tension in cellular monolayers and three-dimensional multicellular aggregates. Biomedical Optics Express. 15(9). 5199–5199.

Cohen, Rick I., et al.. (2020). Swelling of Poly(methyl acrylate) Brushes in Acetone Vapor. Langmuir. 36(40). 12053–12060. 25 indexed citations

Francis, Nicola L., et al.. (2019). Peptide-Based Scaffolds for the Culture and Transplantation of Human Dopaminergic Neurons. Tissue Engineering Part A. 26(3-4). 193–205. 18 indexed citations

Cohen, Rick I., et al.. (2016). The development and characterization of SDF1α-elastin-like-peptide nanoparticles for wound healing. Journal of Controlled Release. 232. 238–247. 52 indexed citations

Park, Chris, et al.. (2013). Analysis of Human Embryonic Stem Cells with Regulatable Expression of the Cell Adhesion Molecule L1 in Regeneration after Spinal Cord Injury. Journal of Neurotrauma. 31(6). 553–564. 10 indexed citations

Inamdar, Arati A., Jennifer C. Moore, Rick I. Cohen, & Joan W. Bennett. (2011). A Model to Evaluate the Cytotoxicity of the Fungal Volatile Organic Compound 1-octen-3-ol in Human Embryonic Stem Cells. Mycopathologia. 173(1). 13–20. 40 indexed citations

Mathur, Vani A., et al.. (2011). E-Cadherin-Expressing Feeder Cells Promote Neural Lineage Restriction of Human Embryonic Stem Cells. Stem Cells and Development. 21(1). 30–41. 9 indexed citations

10.

Moore, Jennifer C., Percy Luk Yeung, Cynthia Camarillo, et al.. (2010). Efficient, high-throughput transfection of human embryonic stem cells. Stem Cell Research & Therapy. 1(3). 23–23. 40 indexed citations

11.

Moore, Jennifer C., Sasha Sadowy, Mina Alikani, et al.. (2009). A high-resolution molecular-based panel of assays for identification and characterization of human embryonic stem cell lines. Stem Cell Research. 4(2). 92–106. 8 indexed citations

12.

Goff, Loyal A., Jonathan Davila, Mavis R. Swerdel, et al.. (2009). Ago2 Immunoprecipitation Identifies Predicted MicroRNAs in Human Embryonic Stem Cells and Neural Precursors. PLoS ONE. 4(9). e7192–e7192. 89 indexed citations

13.

Markov, Vladimir, Kenro Kusumi, Mahlet G. Tadesse, et al.. (2007). Identification of Cord Blood-Derived Mesenchymal Stem/stromal Cell Populations with Distinct Growth Kinetics, Differentiation Potentials, and Gene Expression Profiles. Stem Cells and Development. 16(1). 53–74. 75 indexed citations

14.

Benjamin, Robert S., et al.. (2007). A non‐transformed oligodendrocyte precursor cell line, OL‐1, facilitates studies of insulin‐like growth factor‐I signaling during oligodendrocyte development. International Journal of Developmental Neuroscience. 25(2). 95–105. 14 indexed citations

15.

Cohen, Rick I.. (2005). Exploring oligodendrocyte guidance: ‘to boldly go where no cell has gone before’. Cellular and Molecular Life Sciences. 62(5). 505–510. 16 indexed citations

16.

Cohen, Rick I., et al.. (2003). A role for semaphorins and neuropilins in oligodendrocyte guidance. Journal of Neurochemistry. 85(5). 1262–1278. 79 indexed citations

17.

Chandross, Karen J., David C. Spray, Rick I. Cohen, et al.. (1996). TNFα Inhibits Schwann Cell Proliferation, Connexin46 Expression, and Gap Junctional Communication. Molecular and Cellular Neuroscience. 7(6). 479–500. 57 indexed citations

18.

Cohen, Rick I., Eduardo Molina‐Holgado, & Guillermina Almazán. (1996). Carbachol stimulates c-fos expression and proliferation in oligodendrocyte progenitors. Molecular Brain Research. 43(1-2). 193–201. 58 indexed citations

19.

Chandross, Karen J., John A. Kessler, Rick I. Cohen, et al.. (1996). Altered Connexin Expression after Peripheral Nerve Injury. Molecular and Cellular Neuroscience. 7(6). 501–518. 82 indexed citations

20.

Cohen, Rick I. & Guillermina Almazán. (1994). Rat Oligodendrocytes Express Muscarinic Receptors Coupled to Phosphoinositide Hydrolysis and Adenylyl Cyclase. European Journal of Neuroscience. 6(7). 1213–1224. 71 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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