David A. Hottman

431 total citations
8 papers, 293 citations indexed

About

David A. Hottman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, David A. Hottman has authored 8 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Physiology. Recurrent topics in David A. Hottman's work include Neuroscience and Neuropharmacology Research (4 papers), Alzheimer's disease research and treatments (3 papers) and Retinoids in leukemia and cellular processes (2 papers). David A. Hottman is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Alzheimer's disease research and treatments (3 papers) and Retinoids in leukemia and cellular processes (2 papers). David A. Hottman collaborates with scholars based in United States, China and Sweden. David A. Hottman's co-authors include Ling Li, Shaowu Cheng, Dustin Chernick, Zhe Wang, Li-Lian Yuan, Dongfeng Cao, Li‐Lian Yuan, Martin O. Bergö, Lori L. McMahon and Wei Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Neuroscience and Journal of Neurochemistry.

In The Last Decade

David A. Hottman

8 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David A. Hottman United States	7	128	95	53	51	39	8	293
Dustin Chernick United States	8	92 0.7×	137 1.4×	53 1.0×	60 1.2×	47 1.2×	10	341
Vanessa F. Langness United States	4	173 1.4×	159 1.7×	71 1.3×	76 1.5×	46 1.2×	6	320
Muhammad-Al-Mustafa Ismail Sweden	8	154 1.2×	106 1.1×	52 1.0×	127 2.5×	34 0.9×	11	320
Paul Hauser United States	6	262 2.0×	155 1.6×	37 0.7×	60 1.2×	42 1.1×	7	474
Darren Riddy Australia	12	265 2.1×	76 0.8×	75 1.4×	72 1.4×	23 0.6×	15	481
Mengyan Deng China	12	129 1.0×	72 0.8×	53 1.0×	20 0.4×	29 0.7×	22	305
J Schnitker Germany	3	118 0.9×	196 2.1×	29 0.5×	35 0.7×	46 1.2×	5	361
Aida Oliván‐Viguera Spain	13	235 1.8×	100 1.1×	65 1.2×	28 0.5×	23 0.6×	27	434
Martina Zandl‐Lang Austria	11	201 1.6×	137 1.4×	26 0.5×	64 1.3×	48 1.2×	14	421
François Charron Canada	9	255 2.0×	72 0.8×	85 1.6×	36 0.7×	22 0.6×	13	380

Countries citing papers authored by David A. Hottman

Since Specialization

Citations

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

Fields of papers citing papers by David A. Hottman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Hottman. 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 David A. Hottman. The network helps show where David A. Hottman may publish in the future.

Co-authorship network of co-authors of David A. Hottman

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

All Works

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8 of 8 papers shown

Zhong, Rui, et al.. (2025). The HDL-Mimetic Peptide 4F Mitigates Vascular and Cortical Amyloid Pathology and Associated Neuroinflammation in a Transgenic Mouse Model of Cerebral Amyloid Angiopathy and Alzheimer’s Disease. Molecular Neurobiology. 62(8). 9507–9526. 2 indexed citations

Qu, Wenhui, Kiall F. Suazo, Wenfeng Liu, et al.. (2020). Neuronal Protein Farnesylation Regulates Hippocampal Synaptic Plasticity and Cognitive Function. Molecular Neurobiology. 58(3). 1128–1144. 16 indexed citations

Hottman, David A., et al.. (2018). Systemic or Forebrain Neuron-Specific Deficiency of Geranylgeranyltransferase-1 Impairs Synaptic Plasticity and Reduces Dendritic Spine Density. Neuroscience. 373. 207–217. 13 indexed citations

Cheng, Shaowu, Willayat Yousuf Wani, David A. Hottman, et al.. (2017). Haplodeficiency of Cathepsin D does not affect cerebral amyloidosis and autophagy in APP/PS1 transgenic mice. Journal of Neurochemistry. 142(2). 297–304. 11 indexed citations

Hottman, David A., et al.. (2014). Simvastatin Treatment Enhances NMDAR-Mediated Synaptic Transmission by Upregulating the Surface Distribution of the GluN2B Subunit. Cellular and Molecular Neurobiology. 34(5). 693–705. 28 indexed citations

Hottman, David A. & Ling Li. (2014). Protein Prenylation and Synaptic Plasticity: Implications for Alzheimer’s Disease. Molecular Neurobiology. 50(1). 177–185. 48 indexed citations

Hottman, David A., Dustin Chernick, Shaowu Cheng, Zhe Wang, & Ling Li. (2014). HDL and cognition in neurodegenerative disorders. Neurobiology of Disease. 72. 22–36. 140 indexed citations

Cheng, Shaowu, Dongfeng Cao, David A. Hottman, et al.. (2013). Farnesyltransferase Haplodeficiency Reduces Neuropathology and Rescues Cognitive Function in a Mouse Model of Alzheimer Disease. Journal of Biological Chemistry. 288(50). 35952–35960. 35 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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