Djalil Coowar

621 total citations
8 papers, 333 citations indexed

About

Djalil Coowar is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Djalil Coowar has authored 8 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Neurology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Djalil Coowar's work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Single-cell and spatial transcriptomics (2 papers) and Immune cells in cancer (2 papers). Djalil Coowar is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Single-cell and spatial transcriptomics (2 papers) and Immune cells in cancer (2 papers). Djalil Coowar collaborates with scholars based in France, Luxembourg and Norway. Djalil Coowar's co-authors include Alessandro Michelucci, Tony Kaoma, Carole Sousa, Francisco Azuaje, Rudi Balling, Anna Golebiewska, Knut Biber, Yolanda Pires‐Afonso, Suresh Poovathingal and Simone P. Niclou and has published in prestigious journals such as Brain Research, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Djalil Coowar

8 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Djalil Coowar France 8 172 109 96 46 40 8 333
Karl E. Carlström Sweden 8 93 0.5× 74 0.7× 131 1.4× 24 0.5× 14 0.3× 9 311
Ming‐He Cheng China 9 87 0.5× 43 0.4× 205 2.1× 26 0.6× 20 0.5× 10 416
Mei-Jen Wang Taiwan 10 71 0.4× 48 0.4× 158 1.6× 43 0.9× 14 0.3× 12 388
Yang Zhuang China 10 149 0.9× 36 0.3× 171 1.8× 38 0.8× 15 0.4× 14 364
Kenneth Tompkins United States 5 94 0.5× 86 0.8× 105 1.1× 68 1.5× 8 0.2× 8 338
Henriette Haukedal Denmark 8 103 0.6× 41 0.4× 148 1.5× 123 2.7× 22 0.6× 12 307
Jun‐Chun Tang China 11 185 1.1× 63 0.6× 176 1.8× 35 0.8× 6 0.1× 12 402
Miho Shukuri Japan 10 137 0.8× 26 0.2× 105 1.1× 85 1.8× 21 0.5× 19 393
Branislava Mitrovic United States 7 102 0.6× 82 0.8× 124 1.3× 108 2.3× 7 0.2× 7 368

Countries citing papers authored by Djalil Coowar

Since Specialization
Citations

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

Fields of papers citing papers by Djalil Coowar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Djalil Coowar

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

All Works

8 of 8 papers shown
1.
Ali, Muhammad, Pierre Garcia, Tony Heurtaux, et al.. (2024). Single cell transcriptome analysis of the THY-Tau22 mouse model of Alzheimer’s disease reveals sex-dependent dysregulations. Cell Death Discovery. 10(1). 119–119. 7 indexed citations
2.
Pires‐Afonso, Yolanda, Arnaud Muller, Kamil Grzyb, et al.. (2022). Elucidating tumour‐associated microglia/macrophage diversity along glioblastoma progression and under ACOD1 deficiency. Molecular Oncology. 16(17). 3167–3191. 13 indexed citations
3.
Sousa, Carole, Anna Golebiewska, Suresh Poovathingal, et al.. (2018). Single‐cell transcriptomics reveals distinct inflammation‐induced microglia signatures. EMBO Reports. 19(11). 202 indexed citations
4.
Licona, Cynthia, et al.. (2014). Regulation of a Notch3-Hes1 Pathway and Protective Effect by a Tocopherol-Omega Alkanol Chain Derivative in Muscle Atrophy. Journal of Pharmacology and Experimental Therapeutics. 352(1). 23–32. 22 indexed citations
5.
Liu, Jiawei, Alessandro Michelucci, Djalil Coowar, et al.. (2007). Dual bioactivity of resveratrol fatty alcohols: Differentiation of neural stem cells and modulation of neuroinflammation. Bioorganic & Medicinal Chemistry Letters. 17(15). 4218–4222. 10 indexed citations
6.
Coowar, Djalil, et al.. (2006). Improved synthesis of tocopherol fatty alcohols and analogs: microglial activation modulators. Tetrahedron. 62(51). 12025–12040. 13 indexed citations
7.
Coowar, Djalil, et al.. (2004). Effects of Indole Fatty Alcohols on the Differentiation of Neural Stem Cell Derived Neurospheres. Journal of Medicinal Chemistry. 47(25). 6270–6282. 47 indexed citations
8.
Aguilar, José‐Luis González de, et al.. (2001). Neurotrophic activity of 2,4,4-trimethyl-3-(15-hydroxypentadecyl)-2-cyclohexen-1-one in cultured central nervous system neurons. Brain Research. 920(1-2). 65–73. 19 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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