Marcell Szabo

534 total citations
8 papers, 309 citations indexed

About

Marcell Szabo is a scholar working on Physiology, Neurology and Cell Biology. According to data from OpenAlex, Marcell Szabo has authored 8 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Neurology and 3 papers in Cell Biology. Recurrent topics in Marcell Szabo's work include Alzheimer's disease research and treatments (4 papers), Cellular transport and secretion (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Marcell Szabo is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Cellular transport and secretion (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Marcell Szabo collaborates with scholars based in United States, Switzerland and Denmark. Marcell Szabo's co-authors include Swati Mishra, Jessica E. Young, Allison Knupp, Dale W. Hailey, C. Kinoshita, Scott A. Small, Suman Jayadev, Refugio A. Martinez, Charles A. Williams and Yuliang Wang and has published in prestigious journals such as Science Translational Medicine, Cellular and Molecular Life Sciences and Cell Reports.

In The Last Decade

Marcell Szabo

8 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcell Szabo United States	6	133	125	67	58	47	8	309
Xueyan Zhou United States	14	283 2.1×	176 1.4×	61 0.9×	55 0.9×	95 2.0×	43	513
Helena R. Zimmermann United States	8	199 1.5×	136 1.1×	51 0.8×	34 0.6×	66 1.4×	8	305
Adeline E. Walsh United States	5	187 1.4×	152 1.2×	29 0.4×	103 1.8×	44 0.9×	6	383
Júlia Português Almeida Brazil	3	207 1.6×	133 1.1×	25 0.4×	84 1.4×	97 2.1×	11	390
Hye-Won Hyun South Korea	11	195 1.5×	50 0.4×	72 1.1×	71 1.2×	89 1.9×	13	334
Mackenzie D. Martin United States	10	296 2.2×	178 1.4×	110 1.6×	38 0.7×	75 1.6×	15	560
Yves Leestemaker Netherlands	6	348 2.6×	131 1.0×	72 1.1×	39 0.7×	61 1.3×	7	498
Jude C. Kluemper United States	2	161 1.2×	127 1.0×	34 0.5×	50 0.9×	30 0.6×	4	302
Sarah Domnitz United States	8	251 1.9×	245 2.0×	127 1.9×	80 1.4×	53 1.1×	9	484
Isha Ralhan Canada	5	172 1.3×	99 0.8×	31 0.5×	38 0.7×	25 0.5×	8	325

Countries citing papers authored by Marcell Szabo

Since Specialization

Citations

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

Fields of papers citing papers by Marcell Szabo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcell Szabo

This figure shows the co-authorship network connecting the top 25 collaborators of Marcell Szabo. A scholar is included among the top collaborators of Marcell Szabo 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 Marcell Szabo. Marcell Szabo 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

Iba, Michiyo, Yeon‐Joo Lee, Marcell Szabo, et al.. (2024). Microglial and neuronal fates following inhibition of CSF-1R in synucleinopathy mouse model. Brain Behavior and Immunity. 123. 254–269. 2 indexed citations

Iba, Michiyo, Somin Kwon, Changyoun Kim, et al.. (2024). Immunotherapy with an antibody against CD1d modulates neuroinflammation in an α-synuclein transgenic model of Lewy body like disease. Journal of Neuroinflammation. 21(1). 93–93. 1 indexed citations

Iba, Michiyo, Changyoun Kim, Somin Kwon, et al.. (2023). Inhibition of p38α MAPK restores neuronal p38γ MAPK and ameliorates synaptic degeneration in a mouse model of DLB/PD. Science Translational Medicine. 15(695). eabq6089–eabq6089. 22 indexed citations

Panagaki, Theodora, Karim Zuhra, Marcell Szabo, et al.. (2022). Overproduction of hydrogen sulfide, generated by cystathionine β-synthase, disrupts brain wave patterns and contributes to neurobehavioral dysfunction in a rat model of down syndrome. Redox Biology. 51. 102233–102233. 44 indexed citations

Mishra, Swati, Allison Knupp, Marcell Szabo, et al.. (2022). The Alzheimer’s gene SORL1 is a regulator of endosomal traffic and recycling in human neurons. Cellular and Molecular Life Sciences. 79(3). 162–162. 69 indexed citations

Szabo, Marcell, Michiyo Iba, Avindra Nath, Eliezer Masliah, & Changyoun Kim. (2022). Does SARS-CoV-2 affect neurodegenerative disorders? TLR2, a potential receptor for SARS-CoV-2 in the CNS. Experimental & Molecular Medicine. 54(4). 447–454. 25 indexed citations

Szabo, Marcell, Swati Mishra, Allison Knupp, & Jessica E. Young. (2021). The role of Alzheimer's disease risk genes in endolysosomal pathways. Neurobiology of Disease. 162. 105576–105576. 45 indexed citations

Knupp, Allison, Swati Mishra, Refugio A. Martinez, et al.. (2020). Depletion of the AD Risk Gene SORL1 Selectively Impairs Neuronal Endosomal Traffic Independent of Amyloidogenic APP Processing. Cell Reports. 31(9). 107719–107719. 101 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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