Hope Pan

705 total citations
11 papers, 430 citations indexed

About

Hope Pan is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Hope Pan has authored 11 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Physiology and 2 papers in Neurology. Recurrent topics in Hope Pan's work include Alzheimer's disease research and treatments (4 papers), Supramolecular Self-Assembly in Materials (2 papers) and Receptor Mechanisms and Signaling (2 papers). Hope Pan is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Supramolecular Self-Assembly in Materials (2 papers) and Receptor Mechanisms and Signaling (2 papers). Hope Pan collaborates with scholars based in United States, China and Slovakia. Hope Pan's co-authors include Ana M.D. Carneiro, Chang Y. Chung, Fan Yang, Paul M. Seidler, David Eisenberg, Kevin A. Murray, Romany Abskharon, Xinyi Cheng, M.R. Sawaya and Harry V. Vinters and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Hope Pan

11 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hope Pan United States 8 167 153 112 89 52 11 430
Matthias Vandesquille France 10 217 1.3× 158 1.0× 188 1.7× 45 0.5× 20 0.4× 14 562
Shiu‐Hwa Yeh Taiwan 9 240 1.4× 42 0.3× 85 0.8× 47 0.5× 68 1.3× 14 594
Michael Hernandez United States 9 183 1.1× 251 1.6× 528 4.7× 54 0.6× 20 0.4× 12 785
Sandra Colié France 10 262 1.6× 165 1.1× 71 0.6× 40 0.4× 21 0.4× 12 495
Stephanie Ziegler‐Waldkirch Germany 7 167 1.0× 252 1.6× 280 2.5× 73 0.8× 11 0.2× 10 504
Qiuzhi Zhou China 13 254 1.5× 205 1.3× 108 1.0× 34 0.4× 10 0.2× 23 499
Geula Hanin Israel 13 438 2.6× 102 0.7× 64 0.6× 20 0.2× 14 0.3× 24 664
Naoki Ito Japan 10 280 1.7× 102 0.7× 106 0.9× 58 0.7× 60 1.2× 25 731
Gábor Juhász Hungary 16 217 1.3× 208 1.4× 68 0.6× 23 0.3× 11 0.2× 27 603

Countries citing papers authored by Hope Pan

Since Specialization
Citations

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

Fields of papers citing papers by Hope Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hope Pan

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

All Works

11 of 11 papers shown
1.
Hou, Ke, Hope Pan, Romany Abskharon, et al.. (2024). D-peptide-magnetic nanoparticles fragment tau fibrils and rescue behavioral deficits in a mouse model of Alzheimer’s disease. Science Advances. 10(18). eadl2991–eadl2991. 9 indexed citations
2.
Pan, Hope, Nir Pillar, Boaz Barak, et al.. (2023). Impaired myelin ultrastructure is reversed by citalopram treatment in a mouse model for major depressive disorder. Journal of Psychiatric Research. 166. 100–114. 3 indexed citations
3.
Murray, Kevin A., Hope Pan, Jiahui Lu, et al.. (2023). Small molecules disaggregate alpha-synuclein and prevent seeding from patient brain-derived fibrils. Proceedings of the National Academy of Sciences. 120(7). e2217835120–e2217835120. 23 indexed citations
4.
Seidler, Paul M., Kevin A. Murray, David R. Boyer, et al.. (2022). Structure-based discovery of small molecules that disaggregate Alzheimer’s disease tissue derived tau fibrils in vitro. Nature Communications. 13(1). 5451–5451. 117 indexed citations
5.
Murray, Kevin A., Michael P. Hughes, M.R. Sawaya, et al.. (2022). Identifying amyloid-related diseases by mapping mutations in low-complexity protein domains to pathologies. Nature Structural & Molecular Biology. 29(6). 529–536. 22 indexed citations
6.
Murray, Kevin A., Sarah L. Griner, Hope Pan, et al.. (2022). De novo designed protein inhibitors of amyloid aggregation and seeding. Proceedings of the National Academy of Sciences. 119(34). e2206240119–e2206240119. 51 indexed citations
7.
8.
Pan, Hope, et al.. (2019). Integrin αVβ3 Function Influences Citalopram Immobility Behavior in the Tail Suspension Test. Frontiers in Neuroscience. 13. 70–70. 4 indexed citations
9.
10.
Dohn, Michael R., Lisa Bastarache, Tammy Jessen, et al.. (2017). The Gain-of-Function Integrin β3 Pro33 Variant Alters the Serotonin System in the Mouse Brain. Journal of Neuroscience. 37(46). 11271–11284. 21 indexed citations
11.
Yuan, Ye, Ying Li, Ahmed S. Elshikha, et al.. (2017). Anti‐inflammaging effects of human alpha‐1 antitrypsin. Aging Cell. 17(1). 26 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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