Diane Hoffman–Kim

2.2k total citations
45 papers, 1.7k citations indexed

About

Diane Hoffman–Kim is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Biomedical Engineering. According to data from OpenAlex, Diane Hoffman–Kim has authored 45 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 19 papers in Cell Biology and 15 papers in Biomedical Engineering. Recurrent topics in Diane Hoffman–Kim's work include Cellular Mechanics and Interactions (16 papers), Axon Guidance and Neuronal Signaling (15 papers) and 3D Printing in Biomedical Research (14 papers). Diane Hoffman–Kim is often cited by papers focused on Cellular Mechanics and Interactions (16 papers), Axon Guidance and Neuronal Signaling (15 papers) and 3D Printing in Biomedical Research (14 papers). Diane Hoffman–Kim collaborates with scholars based in United States, Switzerland and Germany. Diane Hoffman–Kim's co-authors include Jennifer A. Mitchel, Ravi V. Bellamkonda, Jan M. Bruder, Liane L. Livi, Molly E. Boutin, Hyun‐Kon Song, G. Tayhas R. Palmore, Grace Li, Christian Franck and Eyal Bar-Kochba and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Biomaterials.

In The Last Decade

Diane Hoffman–Kim

45 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Diane Hoffman–Kim United States 22 865 828 486 346 289 45 1.7k
Joseph M. Corey United States 17 748 0.9× 805 1.0× 184 0.4× 500 1.4× 246 0.9× 28 1.6k
Min D. Tang‐Schomer United States 20 639 0.7× 777 0.9× 230 0.5× 391 1.1× 455 1.6× 35 1.9k
Orit Shefi Israel 29 692 0.8× 1.3k 1.6× 181 0.4× 540 1.6× 457 1.6× 80 2.5k
Jessica O. Winter United States 27 657 0.8× 1.1k 1.3× 239 0.5× 511 1.5× 434 1.5× 84 2.4k
Stephanie K. Seidlits United States 27 790 0.9× 941 1.1× 388 0.8× 570 1.6× 548 1.9× 52 2.5k
Peng Shi Hong Kong 36 824 1.0× 1.9k 2.3× 286 0.6× 437 1.3× 910 3.1× 118 4.3k
Karina Kulangara United States 19 310 0.4× 927 1.1× 628 1.3× 273 0.8× 539 1.9× 32 2.6k
Yoonkey Nam South Korea 33 1.6k 1.8× 1.3k 1.6× 177 0.4× 219 0.6× 356 1.2× 107 2.8k
Noo Li Jeon United States 19 610 0.7× 1.7k 2.0× 232 0.5× 98 0.3× 419 1.4× 26 2.4k
Lohitash Karumbaiah United States 24 802 0.9× 491 0.6× 148 0.3× 230 0.7× 492 1.7× 44 1.9k

Countries citing papers authored by Diane Hoffman–Kim

Since Specialization
Citations

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

Fields of papers citing papers by Diane Hoffman–Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diane Hoffman–Kim. 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 Diane Hoffman–Kim. The network helps show where Diane Hoffman–Kim may publish in the future.

Co-authorship network of co-authors of Diane Hoffman–Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Diane Hoffman–Kim. A scholar is included among the top collaborators of Diane Hoffman–Kim 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 Diane Hoffman–Kim. Diane Hoffman–Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Franck, Christian, et al.. (2024). Cortical spheroids show strain-dependent cell viability loss and neurite disruption following sustained compression injury. PLoS ONE. 19(8). e0295086–e0295086. 3 indexed citations
2.
Wan, Y., et al.. (2024). A mechanics theory for the exploration of a high-throughput, sterile 3D in vitro traumatic brain injury model. Biomechanics and Modeling in Mechanobiology. 23(4). 1179–1196. 2 indexed citations
3.
Livi, Liane L., et al.. (2023). Cortical Spheroid Model for Studying the Effects of Ischemic Brain Injury. PubMed. 2(1-2). 25–41. 2 indexed citations
4.
Theyel, Brian, et al.. (2021). Cortical spheroids display oscillatory network dynamics. Lab on a Chip. 21(23). 4586–4595. 3 indexed citations
5.
Lizarraga, Sofia B., Li Ma, Laura I. van Dyck, et al.. (2021). Human neurons from Christianson syndrome iPSCs reveal mutation-specific responses to rescue strategies. Science Translational Medicine. 13(580). 20 indexed citations
6.
Sadick, Jessica S., Molly E. Boutin, Diane Hoffman–Kim, & Eric M. Darling. (2016). Protein characterization of intracellular target-sorted, formalin-fixed cell subpopulations. Scientific Reports. 6(1). 33999–33999. 12 indexed citations
7.
Dingle, Yu‐Ting L., Molly E. Boutin, Anda M. Chirila, et al.. (2015). Three-Dimensional Neural Spheroid Culture: An In Vitro Model for Cortical Studies. Tissue Engineering Part C Methods. 21(12). 1274–1283. 98 indexed citations
8.
Toyjanova, Jennet, et al.. (2015). High Resolution, Large Deformation 3D Traction Force Microscopy. Biophysical Journal. 108(2). 493a–493a. 14 indexed citations
9.
Boutin, Molly E. & Diane Hoffman–Kim. (2014). Application and Assessment of Optical Clearing Methods for Imaging of Tissue-Engineered Neural Stem Cell Spheres. Tissue Engineering Part C Methods. 21(3). 292–302. 40 indexed citations
10.
Toyjanova, Jennet, et al.. (2014). High Resolution, Large Deformation 3D Traction Force Microscopy. PLoS ONE. 9(4). e90976–e90976. 71 indexed citations
11.
Bruder, Jan M., et al.. (2011). Guidance of dorsal root ganglion neurites and Schwann cells by isolated Schwann cell topography on poly(dimethyl siloxane) conduits and films. Journal of Neural Engineering. 8(4). 46015–46015. 34 indexed citations
12.
Mitchel, Jennifer A. & Diane Hoffman–Kim. (2011). Cellular Scale Anisotropic Topography Guides Schwann Cell Motility. PLoS ONE. 6(9). e24316–e24316. 49 indexed citations
13.
Liu, Yuting, et al.. (2010). Neurite Outgrowth at the Biomimetic Interface. Annals of Biomedical Engineering. 38(6). 2210–2225. 14 indexed citations
14.
Hoffman–Kim, Diane, et al.. (2008). Tissue-Engineered Platforms of Axon Guidance. Tissue Engineering Part B Reviews. 14(1). 33–51. 76 indexed citations
15.
Hoffman–Kim, Diane, et al.. (2008). Evaluation of neurite outgrowth anisotropy using a novel application of circular analysis. Journal of Neuroscience Methods. 174(2). 202–214. 16 indexed citations
16.
Abe, Takako, Takao Honda, Kohtaro Takei, et al.. (2008). Dynactin is essential for growth cone advance. Biochemical and Biophysical Research Communications. 372(3). 418–422. 12 indexed citations
17.
Liu, Jeffrey, et al.. (2008). Multi-Molecular Gradients of Permissive and Inhibitory Cues Direct Neurite Outgrowth. Annals of Biomedical Engineering. 36(6). 889–904. 42 indexed citations
18.
19.
Bruder, Jan M., et al.. (2005). Neurite bridging across micropatterned grooves. Biomaterials. 27(3). 460–472. 118 indexed citations
20.
Hoffman–Kim, Diane, Steven E. Benzley, Patricia O’Donnell, et al.. (2000). Commentary on 'Normative Orientations of University Faculty and Doctoral Students'. Science and Engineering Ethics. 6(2). 1 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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