Asa Hatami

1.4k total citations
16 papers, 981 citations indexed

About

Asa Hatami is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Asa Hatami has authored 16 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 8 papers in Molecular Biology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Asa Hatami's work include Alzheimer's disease research and treatments (8 papers), Prion Diseases and Protein Misfolding (4 papers) and Nuclear Receptors and Signaling (4 papers). Asa Hatami is often cited by papers focused on Alzheimer's disease research and treatments (8 papers), Prion Diseases and Protein Misfolding (4 papers) and Nuclear Receptors and Signaling (4 papers). Asa Hatami collaborates with scholars based in United States, Saudi Arabia and Japan. Asa Hatami's co-authors include Charles Glabe, Saskia Milton, Ricardo Albay, Marie‐Françoise Chesselet, Antônia Silva, George S. Bloom, Anca Alexandru, Birgit Hutter‐Paier, Brian J. Wiltgen and Stephan Schilling and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Scientific Reports.

In The Last Decade

Asa Hatami

16 papers receiving 972 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Asa Hatami United States	13	700	425	193	173	157	16	981
Mathew A. Sherman United States	10	597 0.9×	297 0.7×	220 1.1×	129 0.7×	124 0.8×	11	795
Lisa M. Jungbauer United States	12	852 1.2×	580 1.4×	233 1.2×	230 1.3×	69 0.4×	18	1.3k
Priyanka Narayan United States	17	744 1.1×	691 1.6×	169 0.9×	206 1.2×	78 0.5×	35	1.4k
Anna Lord Sweden	15	869 1.2×	444 1.0×	263 1.4×	208 1.2×	217 1.4×	15	1.2k
Brenda D. Moore United States	18	892 1.3×	519 1.2×	193 1.0×	369 2.1×	205 1.3×	30	1.3k
Asad Jan Denmark	15	684 1.0×	508 1.2×	120 0.6×	109 0.6×	188 1.2×	32	1.1k
Ashley N. Nilson United States	3	616 0.9×	325 0.8×	111 0.6×	216 1.2×	62 0.4×	9	810
Yasushi Tomidokoro Japan	23	1.1k 1.5×	549 1.3×	281 1.5×	279 1.6×	172 1.1×	44	1.5k
Bruno Vasconcelos Belgium	7	632 0.9×	342 0.8×	185 1.0×	201 1.2×	92 0.6×	8	772
Bertrand P. Tseng United States	12	826 1.2×	603 1.4×	225 1.2×	137 0.8×	76 0.5×	15	1.3k

Countries citing papers authored by Asa Hatami

Since Specialization

Citations

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

Fields of papers citing papers by Asa Hatami

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asa Hatami

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

All Works

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16 of 16 papers shown

Videlock, Elizabeth J., Asa Hatami, Chunni Zhu, et al.. (2023). Distinct Patterns of Gene Expression Changes in the Colon and Striatum of Young Mice Overexpressing Alpha-Synuclein Support Parkinson’s Disease as a Multi-System Process. Journal of Parkinson s Disease. 13(7). 1127–1147. 3 indexed citations

Zhu, Chunni, Tina Bilousova, Mikhail Melnik, et al.. (2021). Correction to: Pharmacological inhibition of nSMase2 reduces brain exosome release and α-synuclein pathology in a Parkinson’s disease model. Molecular Brain. 14(1). 108–108. 4 indexed citations

Zhu, Chunni, Tina Bilousova, Mikhail Melnik, et al.. (2021). Pharmacological inhibition of nSMase2 reduces brain exosome release and α-synuclein pathology in a Parkinson’s disease model. Molecular Brain. 14(1). 70–70. 20 indexed citations

Gabrielyan, Lilit, et al.. (2020). Behavioral Deficits and Brain α-Synuclein and Phosphorylated Serine-129 α-Synuclein in Male and Female Mice Overexpressing Human α-Synuclein. Journal of Alzheimer s Disease. 79(2). 875–893. 7 indexed citations

Bilousova, Tina, Mikhail Melnik, Emily Miyoshi, et al.. (2019). Apolipoprotein E/Amyloid-β Complex Accumulates in Alzheimer Disease Cortical Synapses via Apolipoprotein E Receptors and Is Enhanced by APOE4. American Journal Of Pathology. 189(8). 1621–1636. 36 indexed citations

Hatami, Asa, et al.. (2019). Trapping and Characterization of Nontoxic Aβ42 Aggregation Intermediates. ACS Chemical Neuroscience. 10(8). 3880–3887. 23 indexed citations

Campagna, Jesus, Patricia Spilman, Dongsheng Bai, et al.. (2018). A small molecule ApoE4-targeted therapeutic candidate that normalizes sirtuin 1 levels and improves cognition in an Alzheimer’s disease mouse model. Scientific Reports. 8(1). 17574–17574. 30 indexed citations

Hatami, Asa, Chunni Zhu, Aroa Relaño-Ginés, et al.. (2018). Deuterium‐reinforced linoleic acid lowers lipid peroxidation and mitigates cognitive impairment in the Q140 knock in mouse model of Huntington's disease. FEBS Journal. 285(16). 3002–3012. 40 indexed citations

Hatami, Asa, et al.. (2017). Familial Alzheimer’s Disease Mutations within the Amyloid Precursor Protein Alter the Aggregation and Conformation of the Amyloid-β Peptide. Journal of Biological Chemistry. 292(8). 3172–3185. 115 indexed citations

10.

Knight, Elysse M., Soong Ho Kim, Asa Hatami, et al.. (2016). Effective anti-Alzheimer Aβ therapy involves depletion of specific Aβ oligomer subtypes. Neurology Neuroimmunology & Neuroinflammation. 3(3). e237–e237. 37 indexed citations

11.

Hatami, Asa, et al.. (2016). The Anti-Amyloid-β Monoclonal Antibody 4G8 Recognizes a Generic Sequence-Independent Epitope Associated with α-Synuclein and Islet Amyloid Polypeptide Amyloid Fibrils. Journal of Alzheimer s Disease. 50(2). 517–525. 23 indexed citations

12.

Pensalfini, Anna, Ricardo Albay, Suhail Rasool, et al.. (2014). Intracellular amyloid and the neuronal origin of Alzheimer neuritic plaques. Neurobiology of Disease. 71. 53–61. 86 indexed citations

13.

Hatami, Asa & Marie‐Françoise Chesselet. (2014). Transgenic Rodent Models to Study Alpha-Synuclein Pathogenesis, with a Focus on Cognitive Deficits. Current topics in behavioral neurosciences. 22. 303–330. 35 indexed citations

14.

Hatami, Asa, et al.. (2014). Monoclonal Antibodies against Aβ42 Fibrils Distinguish Multiple Aggregation State Polymorphisms in Vitro and in Alzheimer Disease Brain. Journal of Biological Chemistry. 289(46). 32131–32143. 98 indexed citations

15.

Nussbaum, Justin, Stephan Schilling, Holger Cynis, et al.. (2012). Prion-like behaviour and tau-dependent cytotoxicity of pyroglutamylated amyloid-β. Nature. 485(7400). 651–655. 342 indexed citations

16.

Watson, Joseph B., Asa Hatami, H. David, et al.. (2009). Alterations in corticostriatal synaptic plasticity in mice overexpressing human α-synuclein. Neuroscience. 159(2). 501–513. 82 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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