Changiz Geula

15.2k total citations · 3 hit papers
173 papers, 11.5k citations indexed

About

Changiz Geula is a scholar working on Physiology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Changiz Geula has authored 173 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Physiology, 50 papers in Pharmacology and 50 papers in Cellular and Molecular Neuroscience. Recurrent topics in Changiz Geula's work include Alzheimer's disease research and treatments (90 papers), Cholinesterase and Neurodegenerative Diseases (50 papers) and Neuroscience and Neuropharmacology Research (44 papers). Changiz Geula is often cited by papers focused on Alzheimer's disease research and treatments (90 papers), Cholinesterase and Neurodegenerative Diseases (50 papers) and Neuroscience and Neuropharmacology Research (44 papers). Changiz Geula collaborates with scholars based in United States, Japan and Canada. Changiz Geula's co-authors include Marsel Mesulam, Sultan Darvesh, M.‐Marsel Mesulam, David A. Hopkins, M‐Marsel Mesulam, Robert J. Morecraft, Sandra Weıntraub, Eileen H. Bigio, M.‐Marsel Mesulam and Joseph El Khoury and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Changiz Geula

165 papers receiving 11.2k citations

Hit Papers

Ccr2 deficiency impairs microglial accumulation and accel... 2003 2026 2010 2018 2007 2003 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changiz Geula United States 55 3.8k 3.4k 3.2k 3.1k 2.9k 173 11.5k
Roger M. Nitsch Switzerland 70 10.1k 2.6× 6.4k 1.9× 4.0k 1.2× 3.0k 1.0× 1.9k 0.7× 274 17.7k
John R. Cirrito United States 54 9.6k 2.5× 4.0k 1.2× 4.0k 1.2× 1.8k 0.6× 2.6k 0.9× 103 16.1k
Jorge J. Palop United States 31 6.9k 1.8× 2.9k 0.9× 5.6k 1.7× 1.6k 0.5× 2.6k 0.9× 48 11.2k
Raymond T. Bartus United States 64 2.6k 0.7× 6.6k 1.9× 7.8k 2.4× 4.1k 1.3× 4.8k 1.6× 186 18.6k
Heikki Tanila Finland 61 4.3k 1.1× 3.1k 0.9× 5.4k 1.7× 1.1k 0.4× 4.0k 1.4× 240 12.7k
Erik D. Roberson United States 42 5.0k 1.3× 3.1k 0.9× 3.6k 1.1× 1.2k 0.4× 1.3k 0.5× 95 9.3k
Richard DeTeresa United States 34 6.9k 1.8× 3.0k 0.9× 3.9k 1.2× 1.5k 0.5× 1.7k 0.6× 46 11.8k
Ottavio Arancio United States 73 8.1k 2.1× 8.6k 2.5× 7.7k 2.4× 3.3k 1.1× 2.2k 0.7× 212 20.7k
Gary W. Arendash United States 58 4.6k 1.2× 2.7k 0.8× 2.2k 0.7× 1.8k 0.6× 914 0.3× 117 9.7k
Vahram Haroutunian United States 79 7.0k 1.8× 9.7k 2.8× 6.3k 1.9× 2.1k 0.7× 2.9k 1.0× 334 21.9k

Countries citing papers authored by Changiz Geula

Since Specialization
Citations

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

Fields of papers citing papers by Changiz Geula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changiz Geula

This figure shows the co-authorship network connecting the top 25 collaborators of Changiz Geula. A scholar is included among the top collaborators of Changiz Geula 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 Changiz Geula. Changiz Geula 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.
Jamshidi, Pouya, et al.. (2025). Dendritic location of dystrophic neurites in FTLDTDP type C with annexinopathy. Brain Pathology. 36(1). e70032–e70032.
3.
Pan, Yuting, et al.. (2024). Loss and microglia phagocytosis of synaptic proteins in frontotemporal lobar degeneration with TDP-43 proteinopathy. Neurochemistry International. 175. 105719–105719. 5 indexed citations
4.
Arseni, Diana, Takashi Nonaka, Max Jacobsen, et al.. (2024). Heteromeric amyloid filaments of ANXA11 and TDP-43 in FTLD-TDP type C. Nature. 634(8034). 662–668. 38 indexed citations
5.
Bartom, Elizabeth T., John A. Kessler, Joseph R. Mazzulli, et al.. (2024). Death Induced by Survival gene Elimination (DISE) correlates with neurotoxicity in Alzheimer’s disease and aging. Nature Communications. 15(1). 264–264. 5 indexed citations
6.
Mao, Qinwen, Margaret E. Flanagan, Hui Zhang, et al.. (2023). Distinct Patterns of Hippocampal Pathology in Alzheimer's Disease with Transactive Response DNA‐binding Protein 43. Annals of Neurology. 94(6). 1036–1047. 8 indexed citations
7.
Mesulam, Marsel, Tamar Gefen, Margaret E. Flanagan, et al.. (2023). Frontotemporal Degeneration with Transactive Response DNA‐Binding Protein Type C at the Anterior Temporal Lobe. Annals of Neurology. 94(1). 1–12. 11 indexed citations
8.
Bigio, Eileen H., et al.. (2023). Shades of gray in human white matter. The Journal of Comparative Neurology. 531(18). 2109–2120. 2 indexed citations
9.
10.
Geula, Changiz, et al.. (2023). Dendritic spinule-mediated structural synaptic plasticity: Implications for development, aging, and psychiatric disease. Frontiers in Molecular Neuroscience. 16. 1059730–1059730. 14 indexed citations
11.
Coventry, Christina, Emily Rogalskı, Sandra Weıntraub, et al.. (2023). Distinct and shared neuropsychiatric phenotypes in FTLD-tauopathies. Frontiers in Aging Neuroscience. 15. 1164581–1164581. 3 indexed citations
12.
Mesulam, Marsel, Christina Coventry, Eileen H. Bigio, et al.. (2021). Neuropathological fingerprints of survival, atrophy and language in primary progressive aphasia. Brain. 145(6). 2133–2148. 27 indexed citations
13.
Kukreja, Lokesh, Ryan K. Shahidehpour, Garam Kım, et al.. (2018). Differential Neurotoxicity Related to Tetracycline Transactivator and TDP-43 Expression in Conditional TDP-43 Mouse Model of Frontotemporal Lobar Degeneration. Journal of Neuroscience. 38(27). 6045–6062. 8 indexed citations
14.
Gefen, Tamar, Alfred Rademaker, Sandra Weıntraub, et al.. (2012). Clinically concordant variations of Alzheimer pathology in aphasic versus amnestic dementia. Brain. 135(5). 1554–1565. 109 indexed citations
15.
16.
Leung, Elaine, et al.. (2009). Microglia activation mediates fibrillar amyloid-β toxicity in the aged primate cortex. Neurobiology of Aging. 32(3). 387–397. 38 indexed citations
17.
Zhong, Nan, Patrizia Rizzu, Changiz Geula, et al.. (2006). DJ-1 Transcriptionally Up-regulates the Human Tyrosine Hydroxylase by Inhibiting the Sumoylation of Pyrimidine Tract-binding Protein-associated Splicing Factor. Journal of Biological Chemistry. 281(30). 20940–20948. 155 indexed citations
18.
Friedman, Mark, Changiz Geula, Gregory L. Holmes, & Andrew G. Herzog. (2002). GnRH-immunoreactive fiber changes with unilateral amygdala-kindled seizures. Epilepsy Research. 52(2). 73–77. 25 indexed citations
19.
Geula, Changiz, Jing Bu, Nicholas Nagykery, et al.. (2002). Loss of calbindin‐D28k from aging human cholinergic basal forebrain: Relation to neuronal loss. The Journal of Comparative Neurology. 455(2). 249–259. 78 indexed citations
20.
Geula, Changiz, et al.. (1991). Differential distribution of a neurofilament protein epitope in acetylcholinesterase-rich neurons of human cerebral neocortex. Brain Research. 544(1). 169–173. 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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