Milan Stojiljkovic

427 total citations
9 papers, 298 citations indexed

About

Milan Stojiljkovic is a scholar working on Immunology, Neurology and Physiology. According to data from OpenAlex, Milan Stojiljkovic has authored 9 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Neurology and 4 papers in Physiology. Recurrent topics in Milan Stojiljkovic's work include Immune cells in cancer (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Milan Stojiljkovic is often cited by papers focused on Immune cells in cancer (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Milan Stojiljkovic collaborates with scholars based in Germany and United States. Milan Stojiljkovic's co-authors include Otto W. Witte, Christian Schmeer, Alexandra Kretz, Tzvetanka Bondeva, Regine Heller, Manja Marz, Reinhard Wetzker, Trim Lajqi, Emanuel Barth and Hubertus Axer and has published in prestigious journals such as Neuroscience, Frontiers in Immunology and Neurobiology of Aging.

In The Last Decade

Milan Stojiljkovic

9 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Milan Stojiljkovic Germany	8	98	96	95	79	37	9	298
Marisa Lopez‐Cruzan United States	8	183 1.9×	98 1.0×	38 0.4×	48 0.6×	26 0.7×	15	349
Mariah F. Calubag United States	7	148 1.5×	189 2.0×	33 0.3×	55 0.7×	67 1.8×	12	336
Adriana D. Benavides United States	5	196 2.0×	123 1.3×	28 0.3×	53 0.7×	106 2.9×	5	387
Hiromi Onouchi Japan	6	96 1.0×	48 0.5×	36 0.4×	36 0.5×	15 0.4×	11	325
Hyeri Nam South Korea	5	141 1.4×	60 0.6×	124 1.3×	65 0.8×	7 0.2×	7	362
Meng Shi China	6	137 1.4×	92 1.0×	29 0.3×	22 0.3×	9 0.2×	10	271
Victoria E. Meadows United States	6	98 1.0×	47 0.5×	95 1.0×	57 0.7×	6 0.2×	6	329
Leah Zuroff United States	9	84 0.9×	157 1.6×	161 1.7×	65 0.8×	3 0.1×	15	373
Lily Keane Sweden	9	169 1.7×	78 0.8×	146 1.5×	91 1.2×	3 0.1×	18	378
Sung Chun Cho South Korea	10	222 2.3×	107 1.1×	15 0.2×	48 0.6×	14 0.4×	15	343

Countries citing papers authored by Milan Stojiljkovic

Since Specialization

Citations

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

Fields of papers citing papers by Milan Stojiljkovic

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Stojiljkovic

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Stojiljkovic, Milan, Christian Schmeer, & Otto W. Witte. (2024). Senescence and aging differentially alter key metabolic pathways in murine brain microglia. Neuroscience Letters. 828. 137751–137751. 5 indexed citations

2.

Morales‐Prieto, Diana M., José M. Murrieta-Coxca, Milan Stojiljkovic, et al.. (2022). Small Extracellular Vesicles from Peripheral Blood of Aged Mice Pass the Blood-Brain Barrier and Induce Glial Cell Activation. Cells. 11(4). 625–625. 26 indexed citations

3.

Stojiljkovic, Milan, Christian Schmeer, & Otto W. Witte. (2022). Pharmacological Depletion of Microglia Leads to a Dose-Dependent Reduction in Inflammation and Senescence in the Aged Murine Brain. Neuroscience. 488. 1–9. 22 indexed citations

4.

Barth, Emanuel, Akash Srivastava, Milan Stojiljkovic, et al.. (2021). Age-dependent expression changes of circadian system-related genes reveal a potentially conserved link to aging. Aging. 13(24). 25694–25716. 13 indexed citations

5.

Lajqi, Trim, Milan Stojiljkovic, David L. Williams, et al.. (2020). Memory-Like Responses of Brain Microglia Are Controlled by Developmental State and Pathogen Dose. Frontiers in Immunology. 11. 546415–546415. 32 indexed citations

6.

Lajqi, Trim, Milan Stojiljkovic, & Reinhard Wetzker. (2019). Toxin-induced hormesis may restrain aging. Biogerontology. 20(4). 571–581. 13 indexed citations

7.

Barth, Emanuel, Akash Srivastava, Milan Stojiljkovic, et al.. (2019). Conserved aging-related signatures of senescence and inflammation in different tissues and species. Aging. 11(19). 8556–8572. 32 indexed citations

8.

Schmeer, Christian, et al.. (2019). Dissecting Aging and Senescence—Current Concepts and Open Lessons. Cells. 8(11). 1446–1446. 104 indexed citations

9.

Stojiljkovic, Milan, et al.. (2018). Phenotypic and functional differences between senescent and aged murine microglia. Neurobiology of Aging. 74. 56–69. 51 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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