Nicholas E. Propson

6.2k total citations · 3 hit papers
15 papers, 3.2k citations indexed

About

Nicholas E. Propson is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Nicholas E. Propson has authored 15 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Neurology and 6 papers in Physiology. Recurrent topics in Nicholas E. Propson's work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Alzheimer's disease research and treatments (6 papers) and Pluripotent Stem Cells Research (4 papers). Nicholas E. Propson is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Alzheimer's disease research and treatments (6 papers) and Pluripotent Stem Cells Research (4 papers). Nicholas E. Propson collaborates with scholars based in United States, Netherlands and Portugal. Nicholas E. Propson's co-authors include James A. Thomson, Zhonggang Hou, Hui Zheng, Sara E. Howden, Jennifer M. Bolin, Yan Zhang, Li‐Fang Chu, Ethan R. Roy, Erik J. Sontheimer and Mitchell D. Probasco and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Neuron.

In The Last Decade

Nicholas E. Propson

15 papers receiving 3.2k citations

Hit Papers

Chemically defined conditions for human iPSC derivation a... 2011 2026 2016 2021 2011 2013 2020 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas E. Propson United States 15 2.0k 789 603 553 431 15 3.2k
Hee Kyung Jin South Korea 35 1.3k 0.7× 573 0.7× 917 1.5× 188 0.3× 380 0.9× 123 3.6k
Barbara Rossi Italy 32 1.6k 0.8× 921 1.2× 872 1.4× 168 0.3× 1.0k 2.4× 69 4.4k
Christian Bernreuther Germany 34 1.4k 0.7× 680 0.9× 525 0.9× 185 0.3× 385 0.9× 75 3.3k
Kolja Wawrowsky United States 34 1.2k 0.6× 282 0.4× 231 0.4× 205 0.4× 308 0.7× 64 3.0k
Michael Peitz Germany 25 2.6k 1.3× 267 0.3× 617 1.0× 513 0.9× 147 0.3× 57 3.7k
Eva‐Maria Krämer‐Albers Germany 36 4.2k 2.0× 902 1.1× 536 0.9× 139 0.3× 432 1.0× 51 5.6k
Carolyn O’Connor United States 13 1.1k 0.5× 926 1.2× 400 0.7× 87 0.2× 682 1.6× 15 2.4k
Theodore L. Roth United States 20 1.6k 0.8× 957 1.2× 238 0.4× 224 0.4× 897 2.1× 28 3.6k
Hugo González Chile 17 866 0.4× 583 0.7× 222 0.4× 179 0.3× 907 2.1× 21 2.9k
Tilo Kunath United Kingdom 32 3.9k 1.9× 177 0.2× 447 0.7× 439 0.8× 380 0.9× 76 5.6k

Countries citing papers authored by Nicholas E. Propson

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas E. Propson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas E. Propson. 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 Nicholas E. Propson. The network helps show where Nicholas E. Propson may publish in the future.

Co-authorship network of co-authors of Nicholas E. Propson

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

All Works

15 of 15 papers shown
1.
Propson, Nicholas E., et al.. (2023). Complement C3aR depletion reverses HIF-1α–induced metabolic impairment and enhances microglial response to Aβ pathology. Journal of Clinical Investigation. 133(12). 41 indexed citations
2.
Roy, Ethan R., Gabriel S. Chiu, Sanming Li, et al.. (2022). Concerted type I interferon signaling in microglia and neural cells promotes memory impairment associated with amyloid β plaques. Immunity. 55(5). 879–894.e6. 113 indexed citations
3.
Xu, Yin, Nicholas E. Propson, Shuqi Du, Wen Xiong, & Hui Zheng. (2021). Autophagy deficiency modulates microglial lipid homeostasis and aggravates tau pathology and spreading. Proceedings of the National Academy of Sciences. 118(27). 114 indexed citations
4.
Ghosh, Anamitra, Debin Wan, Fading Chen, et al.. (2020). An epoxide hydrolase inhibitor reduces neuroinflammation in a mouse model of Alzheimer’s disease. Science Translational Medicine. 12(573). 84 indexed citations
5.
Propson, Nicholas E., Ethan R. Roy, Alexandra Litvinchuk, Jörg Köhl, & Hui Zheng. (2020). Endothelial C3a receptor mediates vascular inflammation and blood-brain barrier permeability during aging. Journal of Clinical Investigation. 131(1). 183 indexed citations
6.
Roy, Ethan R., Baiping Wang, Ying‐Wooi Wan, et al.. (2020). Type I interferon response drives neuroinflammation and synapse loss in Alzheimer disease. Journal of Clinical Investigation. 130(4). 1912–1930. 320 indexed citations breakdown →
7.
Propson, Nicholas E., et al.. (2020). Complement in Neurologic Disease. Annual Review of Pathology Mechanisms of Disease. 16(1). 277–298. 33 indexed citations
8.
Litvinchuk, Alexandra, Ying-Wooi Wan, Dan Swartzlander, et al.. (2018). Complement C3aR Inactivation Attenuates Tau Pathology and Reverses an Immune Network Deregulated in Tauopathy Models and Alzheimer’s Disease. Neuron. 100(6). 1337–1353.e5. 339 indexed citations
9.
Swartzlander, Dan, Nicholas E. Propson, Ethan R. Roy, et al.. (2018). Concurrent cell type–specific isolation and profiling of mouse brains in inflammation and Alzheimer’s disease. JCI Insight. 3(13). 39 indexed citations
10.
Barry, Christopher, Matthew T. Schmitz, Nicholas E. Propson, et al.. (2017). Uniform neural tissue models produced on synthetic hydrogels using standard culture techniques. Experimental Biology and Medicine. 242(17). 1679–1689. 30 indexed citations
11.
Friend, Kyle, et al.. (2015). Embryonic Stem Cell Growth Factors Regulate eIF2α Phosphorylation. PLoS ONE. 10(9). e0139076–e0139076. 22 indexed citations
12.
Schwartz, Michael P., Zhonggang Hou, Nicholas E. Propson, et al.. (2015). Human pluripotent stem cell-derived neural constructs for predicting neural toxicity. Proceedings of the National Academy of Sciences. 112(40). 12516–12521. 252 indexed citations
13.
Jiang, Peng, Susanne Meyer, Zhonggang Hou, et al.. (2014). MPBind: a Meta-motif-based statistical framework and pipeline to Predict Binding potential of SELEX-derived aptamers. Bioinformatics. 30(18). 2665–2667. 43 indexed citations
14.
Hou, Zhonggang, Yan Zhang, Nicholas E. Propson, et al.. (2013). Efficient genome engineering in human pluripotent stem cells using Cas9 from Neisseria meningitidis. Proceedings of the National Academy of Sciences. 110(39). 15644–15649. 525 indexed citations breakdown →
15.
Chen, Guokai, Daniel R. Gulbranson, Zhonggang Hou, et al.. (2011). Chemically defined conditions for human iPSC derivation and culture. Nature Methods. 8(5). 424–429. 1073 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026