Thomas Park

3.1k total citations
54 papers, 1.6k citations indexed

About

Thomas Park is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Thomas Park has authored 54 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Neurology, 11 papers in Molecular Biology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Thomas Park's work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Glioma Diagnosis and Treatment (6 papers) and Barrier Structure and Function Studies (6 papers). Thomas Park is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Glioma Diagnosis and Treatment (6 papers) and Barrier Structure and Function Studies (6 papers). Thomas Park collaborates with scholars based in New Zealand, United States and France. Thomas Park's co-authors include Mike Dragunow, Richard L. M. Faull, Maurice A. Curtis, Justin Rustenhoven, Patrick Schweder, Edward Mee, Emma L. Scotter, Leon Smyth, Robyn Oldfield and Kazimierz Petrusewicz and has published in prestigious journals such as PLoS ONE, Journal of Neurophysiology and Scientific Reports.

In The Last Decade

Thomas Park

52 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Thomas Park 512 494 224 201 191 54 1.6k
Hans‐Christian Bauer 609 1.2× 663 1.3× 104 0.5× 242 1.2× 180 0.9× 57 1.9k
Daniel Bodmer 372 0.7× 761 1.5× 217 1.0× 268 1.3× 103 0.5× 106 2.4k
Tian Zhou 230 0.4× 531 1.1× 136 0.6× 244 1.2× 121 0.6× 62 1.4k
Kory R. Johnson 292 0.6× 1.1k 2.2× 82 0.4× 282 1.4× 161 0.8× 52 1.8k
John F. Fullard 253 0.5× 1.1k 2.1× 123 0.5× 244 1.2× 221 1.2× 62 2.0k
Carsten Theiß 177 0.3× 1.1k 2.2× 242 1.1× 420 2.1× 229 1.2× 112 2.2k
Andrew J. Petersen 186 0.4× 770 1.6× 224 1.0× 345 1.7× 257 1.3× 22 1.3k
José M. Ramı́rez 818 1.6× 1.2k 2.5× 217 1.0× 320 1.6× 315 1.6× 111 3.2k
Gunnar P.H. Dietz 292 0.6× 1.6k 3.2× 169 0.8× 536 2.7× 204 1.1× 48 2.3k
Liliane Tenenbaum 196 0.4× 1000 2.0× 167 0.7× 659 3.3× 143 0.7× 56 2.0k

Countries citing papers authored by Thomas Park

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Park. 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 Thomas Park. The network helps show where Thomas Park may publish in the future.

Co-authorship network of co-authors of Thomas Park

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Park. A scholar is included among the top collaborators of Thomas Park 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 Thomas Park. Thomas Park 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.
Dragunow, Mike, et al.. (2025). Brain tumour histopathology through the lens of deep learning: A systematic review. Computers in Biology and Medicine. 186. 109642–109642.
2.
Tippett, Lynette J., Clinton Turner, Molly E. V. Swanson, et al.. (2024). Microglial proliferation and astrocytic protein alterations in the human Huntington's disease cortex. Neurobiology of Disease. 198. 106554–106554. 6 indexed citations
3.
Johnson, Rebecca, Peter J. Choi, Jason Correia, et al.. (2024). Involvement of the tumour necrosis factor receptor system in glioblastoma cell death induced by palbociclib-heptamethine cyanine dye conjugate. Cell Communication and Signaling. 22(1). 30–30. 1 indexed citations
4.
Wang, Alan, et al.. (2023). Quantification of tumorsphere migration with a physics‐based machine learning method. Cytometry Part A. 103(6). 518–527.
5.
Wang, Alan, et al.. (2022). Robust Quantification of Regional Patterns of Migration in Three-Dimensional Cell Culture Models. Journal of Medical and Biological Engineering. 42(1). 38–48. 1 indexed citations
6.
Dieriks, Birger Victor, Thomas Park, Jason Correia, et al.. (2022). Human pericytes degrade diverse α-synuclein aggregates. PLoS ONE. 17(11). e0277658–e0277658. 11 indexed citations
7.
Wu, Yihan, Thomas Park, Sheryl Feng, et al.. (2022). Analyzing pericytes under mild traumatic brain injury using 3D cultures and dielectric elastomer actuators. Frontiers in Neuroscience. 16. 994251–994251. 6 indexed citations
8.
Swanson, Molly E. V., Leon Smyth, Edward Mee, et al.. (2021). Single-cell image analysis reveals a protective role for microglia in glioblastoma. Neuro-Oncology Advances. 3(1). vdab031–vdab031. 35 indexed citations
9.
Lee, Kevin, et al.. (2021). Isolation of adult mouse microglia using their in vitro adherent properties. STAR Protocols. 2(2). 100518–100518. 11 indexed citations
10.
Choi, Peter J., Patrick Schweder, Edward Mee, et al.. (2021). Cytoprotective agent troxipide-cyanine dye conjugate with cytotoxic and antiproliferative activity in patient-derived glioblastoma cell lines. Bioorganic & Medicinal Chemistry Letters. 50. 128336–128336. 7 indexed citations
11.
Choi, Peter J., et al.. (2020). Heptamethine Cyanine Dye Mediated Drug Delivery: Hype or Hope. Bioconjugate Chemistry. 31(7). 1724–1739. 53 indexed citations
12.
Choi, Peter J., Patrick Schweder, Edward Mee, et al.. (2020). PARP inhibitor cyanine dye conjugate with enhanced cytotoxic and antiproliferative activity in patient derived glioblastoma cell lines. Bioorganic & Medicinal Chemistry Letters. 30(14). 127252–127252. 16 indexed citations
13.
Park, Thomas, et al.. (2020). Extent of resection affects prognosis for patients with glioblastoma in non-eloquent regions. Journal of Clinical Neuroscience. 80. 242–249. 6 indexed citations
14.
Smyth, Leon, Justin Rustenhoven, Thomas Park, et al.. (2018). Unique and shared inflammatory profiles of human brain endothelia and pericytes. Journal of Neuroinflammation. 15(1). 138–138. 107 indexed citations
15.
Dieriks, Birger Victor, Thomas Park, Chantelle Fourie, et al.. (2017). α-synuclein transfer through tunneling nanotubes occurs in SH-SY5Y cells and primary brain pericytes from Parkinson’s disease patients. Scientific Reports. 7(1). 42984–42984. 115 indexed citations
16.
Lipski, Janusz, Thomas Park, Dong Li, et al.. (2006). Involvement of TRP-like channels in the acute ischemic response of hippocampal CA1 neurons in brain slices. Brain Research. 1077(1). 187–199. 92 indexed citations
17.
Stenner, Michael D., et al.. (2003). Development of a Laser Entryway Safety Control System in the Research University Setting. Health Physics. 84(5 Suppl). S74–S79. 1 indexed citations
18.
Dujovny, Manuel, Zachary DelProposto, Federico C. Viñas, et al.. (2003). Late outcome following central nervous system injury in child abuse. Child s Nervous System. 19(2). 69–81. 10 indexed citations
19.
Dujovny, Manuel, et al.. (2001). Application of finite element analysis in neurosurgery. Child s Nervous System. 17(1-2). 87–96. 8 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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