Maja Kitic

400 total citations
9 papers, 260 citations indexed

About

Maja Kitic is a scholar working on Immunology, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Maja Kitic has authored 9 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Pathology and Forensic Medicine and 5 papers in Neurology. Recurrent topics in Maja Kitic's work include Multiple Sclerosis Research Studies (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Immune Response and Inflammation (3 papers). Maja Kitic is often cited by papers focused on Multiple Sclerosis Research Studies (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Immune Response and Inflammation (3 papers). Maja Kitic collaborates with scholars based in Austria, Germany and Japan. Maja Kitic's co-authors include Hans Lassmann, Monika Bradl, Kazuo Fujihara, Simone Mader, Markus Reindl, Tatsuro Misu, Isabella Wimmer, M Fischer, Jan Bauer and Rakhi Sharma and has published in prestigious journals such as PLoS ONE, Acta Neuropathologica and Glia.

In The Last Decade

Maja Kitic

9 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maja Kitic Austria 7 165 105 104 76 56 9 260
Bleranda Zeka Germany 7 172 1.0× 75 0.7× 114 1.1× 69 0.9× 43 0.8× 15 276
Tomohiko Uchida Japan 13 289 1.8× 93 0.9× 181 1.7× 90 1.2× 79 1.4× 26 408
John Soltys United States 9 203 1.2× 63 0.6× 183 1.8× 114 1.5× 69 1.2× 18 393
Koji Kajiyama Japan 7 226 1.4× 78 0.7× 199 1.9× 42 0.6× 88 1.6× 8 328
Giordani Rodrigues dos Passos Brazil 9 262 1.6× 45 0.4× 167 1.6× 79 1.0× 56 1.0× 17 377
Rehiana Ali United Kingdom 7 169 1.0× 39 0.4× 87 0.8× 64 0.8× 33 0.6× 8 262
Christoph Ruschil Germany 8 96 0.6× 39 0.4× 87 0.8× 59 0.8× 61 1.1× 14 252
Sam Loveless United Kingdom 8 207 1.3× 158 1.5× 81 0.8× 178 2.3× 89 1.6× 10 406
Andrés Cruz-Herranz United States 9 198 1.2× 81 0.8× 70 0.7× 54 0.7× 71 1.3× 17 335
Ankelien Duchow Germany 8 142 0.9× 35 0.3× 109 1.0× 31 0.4× 49 0.9× 14 200

Countries citing papers authored by Maja Kitic

Since Specialization
Citations

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

Fields of papers citing papers by Maja Kitic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Kitic

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

All Works

9 of 9 papers shown
1.
Wimmer, Isabella, Tobias Zrzavy, Taro Kadowaki, et al.. (2019). Microglia pre-activation and neurodegeneration precipitate neuroinflammation without exacerbating tissue injury in experimental autoimmune encephalomyelitis. Acta Neuropathologica Communications. 7(1). 14–14. 14 indexed citations
2.
Kitic, Maja, Peter See, Julia Bruttger, Florent Ginhoux, & Ari Waisman. (2019). Novel Microglia Depletion Systems: A Genetic Approach Utilizing Conditional Diphtheria Toxin Receptor Expression and a Pharmacological Model Based on the Blocking of Macrophage Colony-Stimulating Factor 1 Receptor. Methods in molecular biology. 2034. 217–230. 6 indexed citations
3.
Lacher, Sonja M., Ute Distler, Alma N. Mohebiany, et al.. (2018). NF-κB inducing kinase (NIK) is an essential post-transcriptional regulator of T-cell activation affecting F-actin dynamics and TCR signaling. Journal of Autoimmunity. 94. 110–121. 13 indexed citations
4.
Kitic, Maja, Khalad Karram, Nicole Israël, et al.. (2017). NG2 plays a role in neuroinflammation but is not expressed by immune cells. Acta Neuropathologica. 134(2). 325–327. 5 indexed citations
5.
Hochmeister, Sonja, Maren Lindner, Maja Kitic, et al.. (2014). Maternal Neurofascin-Specific Autoantibodies Bind to Structures of the Fetal Nervous System during Pregnancy, but Have No Long Term Effect on Development in the Rat. PLoS ONE. 9(1). e85393–e85393. 2 indexed citations
7.
Kawakami, Naoto, Maja Kitic, Jan Bauer, et al.. (2013). T cell-activation in neuromyelitis optica lesions plays a role in their formation. Acta Neuropathologica Communications. 1(1). 85–85. 73 indexed citations
8.
Kitic, Maja, Sonja Hochmeister, Isabella Wimmer, et al.. (2013). Intrastriatal injection of interleukin-1 beta triggers the formation of neuromyelitis optica-like lesions in NMO-IgG seropositive rats. Acta Neuropathologica Communications. 1(1). 5–5. 55 indexed citations
9.
Fischer, M, Simone Mader, Kathrin Schanda, et al.. (2011). Pathogenic T cell responses against aquaporin 4. Acta Neuropathologica. 122(1). 21–34. 80 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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