Maria Swanberg

2.2k total citations · 1 hit paper
28 papers, 1.1k citations indexed

About

Maria Swanberg is a scholar working on Molecular Biology, Neurology and Neurology. According to data from OpenAlex, Maria Swanberg has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Neurology and 11 papers in Neurology. Recurrent topics in Maria Swanberg's work include Parkinson's Disease Mechanisms and Treatments (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and Neurological diseases and metabolism (5 papers). Maria Swanberg is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and Neurological diseases and metabolism (5 papers). Maria Swanberg collaborates with scholars based in Sweden, United States and Canada. Maria Swanberg's co-authors include Itzia Jiménez-Ferrer, Tomas Deierborg, Antonio Boza‐Serrano, Yiyi Yang, Agnes Paulus, Sara Bachiller, Fredrik Piehl, Olle Lidman, Tomas Olsson and Anna Lobell and has published in prestigious journals such as Nature Genetics, Journal of Neuroscience and The Journal of Immunology.

In The Last Decade

Maria Swanberg

25 papers receiving 1.1k citations

Hit Papers

Microglia in Neurological... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Swanberg Sweden 13 451 338 329 179 148 28 1.1k
Zhaoqi Yan United States 16 389 0.9× 479 1.4× 357 1.1× 207 1.2× 159 1.1× 47 1.3k
Maria Teresa Cencioni Italy 22 307 0.7× 469 1.4× 400 1.2× 193 1.1× 265 1.8× 32 1.5k
Liying Zhang China 17 452 1.0× 263 0.8× 281 0.9× 116 0.6× 122 0.8× 36 1.2k
Emanuela Colombo Italy 12 553 1.2× 493 1.5× 327 1.0× 221 1.2× 229 1.5× 22 1.4k
Bijay Parajuli Japan 16 588 1.3× 514 1.5× 387 1.2× 377 2.1× 182 1.2× 32 1.5k
Alexander Slowik Germany 23 414 0.9× 638 1.9× 255 0.8× 151 0.8× 81 0.5× 32 1.3k
Valerie Bracchi‐Ricard United States 18 384 0.9× 346 1.0× 247 0.8× 141 0.8× 271 1.8× 27 1.2k
Sebastiaan De Schepper Belgium 10 826 1.8× 420 1.2× 698 2.1× 252 1.4× 196 1.3× 11 1.6k
Peter Thornton United Kingdom 17 595 1.3× 442 1.3× 536 1.6× 215 1.2× 108 0.7× 25 1.4k
Yuanyuan Ma China 17 669 1.5× 539 1.6× 263 0.8× 121 0.7× 190 1.3× 34 1.4k

Countries citing papers authored by Maria Swanberg

Since Specialization
Citations

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

Fields of papers citing papers by Maria Swanberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Swanberg

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Swanberg. A scholar is included among the top collaborators of Maria Swanberg 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 Maria Swanberg. Maria Swanberg 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
2.
Brolin, Kajsa, David Bäckström, Ziv Gan‐Or, et al.. (2024). GBA1 T369M and Parkinson's disease - Further evidence of a lack of association in the Swedish population. Parkinsonism & Related Disorders. 130. 107191–107191.
4.
Periñán, María Teresa, Kajsa Brolin, Sara Bandrés‐Ciga, et al.. (2022). Effect Modification between Genes and Environment and Parkinson's Disease Risk. Annals of Neurology. 92(5). 715–724. 24 indexed citations
5.
Brolin, Kajsa, Sara Bandrés‐Ciga, Hampton L. Leonard, et al.. (2021). RIC3 variants are not associated with Parkinson's disease in large European, Latin American, or East Asian cohorts. Neurobiology of Aging. 109. 264–268. 2 indexed citations
6.
Jiménez-Ferrer, Itzia, Michael Jewett, Antonio Boza‐Serrano, et al.. (2020). The MHC class II transactivator modulates seeded alpha-synuclein pathology and dopaminergic neurodegeneration in an in vivo rat model of Parkinson's disease. Brain Behavior and Immunity. 91. 369–382. 16 indexed citations
7.
Jewett, Michael, et al.. (2018). Glutathione S-Transferase Alpha 4 Prevents Dopamine Neurodegeneration in a Rat Alpha-Synuclein Model of Parkinson’s Disease. Frontiers in Neurology. 9. 222–222. 8 indexed citations
8.
Bachiller, Sara, Itzia Jiménez-Ferrer, Agnes Paulus, et al.. (2018). Microglia in Neurological Diseases: A Road Map to Brain-Disease Dependent-Inflammatory Response. Frontiers in Cellular Neuroscience. 12. 488–488. 540 indexed citations breakdown →
9.
Jiménez-Ferrer, Itzia, et al.. (2017). Allelic difference in Mhc2ta confers altered microglial activation and susceptibility to α-synuclein-induced dopaminergic neurodegeneration. Neurobiology of Disease. 106. 279–290. 20 indexed citations
10.
Swanberg, Maria, Fiona E. McGuigan, Kaisa K. Ivaska, Paul Gerdhem, & Kristina Åkesson. (2012). Polymorphisms in the Inflammatory Genes CIITA, CLEC16A and IFNG Influence BMD, Bone Loss and Fracture in Elderly Women. PLoS ONE. 7(10). e47964–e47964. 11 indexed citations
11.
Park, Hee-Bok, Holger Luthman, Marc D. Grynpas, et al.. (2011). Identification of Candidate Gene Regions in the Rat by Co-Localization of QTLs for Bone Density, Size, Structure and Strength. PLoS ONE. 6(7). e22462–e22462. 4 indexed citations
12.
Kumar, Jitender, et al.. (2011). LRP4 association to bone properties and fracture and interaction with genes in the Wnt- and BMP signaling pathways. Bone. 49(3). 343–348. 34 indexed citations
13.
Park, Hee-Bok, Holger Luthman, Mats Nilsson, et al.. (2010). Genetic loci for bone architecture determined by three-dimensional CT in crosses with the diabetic GK rat. Bone. 47(6). 1039–1047. 5 indexed citations
14.
Swanberg, Maria, et al.. (2009). Differential nerve injury-induced expression of MHC class II in the mouse correlates to genetic variability in the type I promoter of C2ta. Journal of Neuroimmunology. 212(1-2). 44–52. 5 indexed citations
15.
Swanberg, Maria, et al.. (2009). Fine Mapping of Gene Regions Regulating Neurodegeneration. PLoS ONE. 4(6). e5906–e5906. 9 indexed citations
16.
Diez, Margarita, Nada Abdelmagid, Olle Lidman, et al.. (2009). Identification of gene regions regulating inflammatory microglial response in the rat CNS after nerve injury. Journal of Neuroimmunology. 212(1-2). 82–92. 12 indexed citations
17.
Swanberg, Maria, Johan Öckinger, Margarita Diez, et al.. (2008). Vra4 Congenic Rats with Allelic Differences in the Class II Transactivator Gene Display Altered Susceptibility to Experimental Autoimmune Encephalomyelitis. The Journal of Immunology. 180(5). 3289–3296. 20 indexed citations
18.
Piehl, Fredrik, Maria Swanberg, & Olle Lidman. (2007). The axon reaction: Identifying the genes that make a difference. Physiology & Behavior. 92(1-2). 67–74. 4 indexed citations
19.
Swanberg, Maria, Kristina Duvefelt, Margarita Diez, et al.. (2006). Genetically determined susceptibility to neurodegeneration is associated with expression of inflammatory genes. Neurobiology of Disease. 24(1). 67–88. 15 indexed citations
20.
Olsson, Tomas, Fredrik Piehl, Maria Swanberg, & Olle Lidman. (2005). Genetic dissection of neurodegeneration and CNS inflammation. Journal of the Neurological Sciences. 233(1-2). 99–108. 15 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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