Michael Synowitz

6.0k total citations
116 papers, 4.3k citations indexed

About

Michael Synowitz is a scholar working on Genetics, Molecular Biology and Neurology. According to data from OpenAlex, Michael Synowitz has authored 116 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Genetics, 27 papers in Molecular Biology and 23 papers in Neurology. Recurrent topics in Michael Synowitz's work include Glioma Diagnosis and Treatment (36 papers), Neuroinflammation and Neurodegeneration Mechanisms (21 papers) and Immune cells in cancer (15 papers). Michael Synowitz is often cited by papers focused on Glioma Diagnosis and Treatment (36 papers), Neuroinflammation and Neurodegeneration Mechanisms (21 papers) and Immune cells in cancer (15 papers). Michael Synowitz collaborates with scholars based in Germany, United States and Netherlands. Michael Synowitz's co-authors include Helmut Kettenmann, Rainer Glaß, Darko Marković, Nico van Rooijen, Susanne A. Wolf, Juergen Kiwit, Janka Held‐Feindt, Seija Lehnardt, D. Marković and Frank Szulzewsky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Michael Synowitz

114 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Synowitz Germany 33 1.4k 1.3k 1.3k 1.1k 726 116 4.3k
Gordon Li United States 33 1.4k 1.1× 1.9k 1.4× 1.7k 1.3× 1.9k 1.8× 986 1.4× 147 6.6k
Janka Held‐Feindt Germany 41 1.3k 1.0× 1.8k 1.4× 796 0.6× 377 0.3× 1.5k 2.1× 115 4.7k
Zhihong Chen United States 22 1.3k 1.0× 741 0.6× 713 0.5× 1.3k 1.2× 379 0.5× 35 2.8k
Rainer Glaß Germany 25 850 0.6× 1.1k 0.9× 1.1k 0.9× 661 0.6× 652 0.9× 51 3.0k
Wolfgang Roggendorf Germany 38 668 0.5× 1.5k 1.1× 1.2k 0.9× 685 0.6× 622 0.9× 109 4.7k
Jean-Pierre Julien Canada 17 561 0.4× 1.3k 1.0× 753 0.6× 1.4k 1.3× 432 0.6× 20 4.6k
Bianca Pollo Italy 42 719 0.5× 1.9k 1.4× 2.5k 1.9× 264 0.2× 1.3k 1.8× 167 5.4k
Rudy Bonavia Italy 17 952 0.7× 1.1k 0.9× 678 0.5× 472 0.4× 1.3k 1.8× 24 3.1k
Oliver Schnell Germany 31 477 0.4× 1.1k 0.8× 2.0k 1.5× 457 0.4× 523 0.7× 118 3.8k

Countries citing papers authored by Michael Synowitz

Since Specialization
Citations

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

Fields of papers citing papers by Michael Synowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Synowitz

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Synowitz. A scholar is included among the top collaborators of Michael Synowitz 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 Michael Synowitz. Michael Synowitz 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
1.
Freitag‐Wolf, Sandra, et al.. (2024). IDH1 mutation is associated with improved resection rates, progression-free survival and overall survival in patients with anaplastic astrocytomas. Journal of Neuro-Oncology. 169(2). 423–435. 2 indexed citations
2.
Will, Olga, Fabian Schütt, Ralph Lucius, et al.. (2023). Establishment of a Rodent Glioblastoma Partial Resection Model for Chemotherapy by Local Drug Carriers—Sharing Experience. Biomedicines. 11(6). 1518–1518. 1 indexed citations
3.
Janßen, Ottmar, Fabian Schütt, Rainer Adelung, et al.. (2023). Sequential Treatment with Temozolomide Plus Naturally Derived AT101 as an Alternative Therapeutic Strategy: Insights into Chemoresistance Mechanisms of Surviving Glioblastoma Cells. International Journal of Molecular Sciences. 24(10). 9075–9075. 1 indexed citations
4.
5.
Synowitz, Michael, et al.. (2022). Localized Drug Delivery Systems in High‐Grade Glioma Therapy—From Construction to Application. Advanced Therapeutics. 5(8). 13 indexed citations
6.
Huang, Yimin, Yuan Yang, Shuai Zhu, et al.. (2022). Microglia/macrophage-derived human CCL18 promotes glioma progression via CCR8-ACP5 axis analyzed in humanized slice model. Cell Reports. 39(2). 110670–110670. 22 indexed citations
7.
Szutkowski, Kosma, et al.. (2020). AT101-Loaded Cubosomes as an Alternative for Improved Glioblastoma Therapy. SHILAP Revista de lepidopterología. 2 indexed citations
8.
Schmitt, Christina, Regina Scherließ, Ralph Lucius, et al.. (2020). Macroscopic Silicone Microchannel Matrix for Tailored Drug Release and Localized Glioblastoma Therapy. ACS Biomaterials Science & Engineering. 6(6). 3388–3397. 12 indexed citations
9.
10.
Huang, Yimin, Quan Zhang, Fatih Yalçın, et al.. (2020). Synergistic Toll-like Receptor 3/9 Signaling Affects Properties and Impairs Glioma-Promoting Activity of Microglia. Journal of Neuroscience. 40(33). 6428–6443. 31 indexed citations
11.
Damaty, Ahmed El, Sascha Marx, Marcus Vollmer, et al.. (2020). ETV in infancy and childhood below 2 years of age for treatment of hydrocephalus. Child s Nervous System. 36(11). 2725–2731. 13 indexed citations
12.
13.
Vokuhl, Christian, et al.. (2018). Expression profiles of pro-inflammatory and pro-apoptotic mediators in secondary tethered cord syndrome after myelomeningocele repair surgery. Child s Nervous System. 35(2). 315–328. 9 indexed citations
14.
Helmers, Ann‐Kristin, Günther Deuschl, Karsten Witt, et al.. (2017). Comparison of the Battery Life of Nonrechargeable Generators for Deep Brain Stimulation. Neuromodulation Technology at the Neural Interface. 21(6). 593–596. 18 indexed citations
15.
Mehdorn, H. Maximilian, et al.. (2016). Cognitive screening in patients with intracranial tumors: validation of the BCSE. Journal of Neuro-Oncology. 127(3). 559–567. 4 indexed citations
16.
Hattermann, Kirsten, Kareen Bartsch, H. Maximilian Mehdorn, et al.. (2016). “Inverse signaling” of the transmembrane chemokine CXCL16 contributes to proliferative and anti-apoptotic effects in cultured human meningioma cells. Cell Communication and Signaling. 14(1). 26–26. 19 indexed citations
17.
Kleber, Susanne, Álvaro Mateos, Branko Cirovic, et al.. (2016). CD95 maintains stem cell-like and non-classical EMT programs in primary human glioblastoma cells. Cell Death and Disease. 7(4). e2209–e2209. 43 indexed citations
18.
Szulzewsky, Frank, Andreas Pelz, Xi Feng, et al.. (2015). Glioma-Associated Microglia/Macrophages Display an Expression Profile Different from M1 and M2 Polarization and Highly Express Gpnmb and Spp1. PLoS ONE. 10(2). e0116644–e0116644. 317 indexed citations
19.
Kronenberg, Golo, Liping Wang, Martine Geraerts, et al.. (2007). Local origin and activity-dependent generation of nestin-expressing protoplasmic astrocytes in CA1. Brain Structure and Function. 212(1). 19–35. 19 indexed citations
20.
Synowitz, Michael, Rainer Glaß, Katrin Färber, et al.. (2006). A1 Adenosine Receptors in Microglia Control Glioblastoma-Host Interaction. Cancer Research. 66(17). 8550–8557. 70 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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