Gergely Solecki

4.0k total citations
18 papers, 1.2k citations indexed

About

Gergely Solecki is a scholar working on Molecular Biology, Genetics and Biophysics. According to data from OpenAlex, Gergely Solecki has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Genetics and 5 papers in Biophysics. Recurrent topics in Gergely Solecki's work include Glioma Diagnosis and Treatment (9 papers), Cell Image Analysis Techniques (5 papers) and Single-cell and spatial transcriptomics (3 papers). Gergely Solecki is often cited by papers focused on Glioma Diagnosis and Treatment (9 papers), Cell Image Analysis Techniques (5 papers) and Single-cell and spatial transcriptomics (3 papers). Gergely Solecki collaborates with scholars based in Germany, France and United States. Gergely Solecki's co-authors include Frank Winkler, Wolfgang Wick, Matthias Osswald, Julia Grosch, Patrick N. Harter, Rolf Bjerkvig, Miriam Ratliff, Qianghu Wang, Grazia Graziani and Eskil Eskilsson and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Scientific Reports.

In The Last Decade

Gergely Solecki

18 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gergely Solecki Germany 14 522 357 271 230 178 18 1.2k
Stacey Watkins United States 7 560 1.1× 508 1.4× 168 0.6× 207 0.9× 227 1.3× 11 1.3k
Anna Shteingauz Israel 13 415 0.8× 288 0.8× 282 1.0× 147 0.6× 261 1.5× 40 969
Thomas Daubon France 21 696 1.3× 238 0.7× 393 1.5× 278 1.2× 120 0.7× 54 1.3k
Matthias Osswald Germany 16 424 0.8× 454 1.3× 90 0.3× 253 1.1× 138 0.8× 24 1.2k
Kelly Burrell Canada 18 803 1.5× 398 1.1× 100 0.4× 191 0.8× 232 1.3× 26 1.5k
Tali Voloshin Israel 19 490 0.9× 495 1.4× 111 0.4× 404 1.8× 441 2.5× 79 1.4k
Lincoln Edwards United States 15 664 1.3× 332 0.9× 111 0.4× 319 1.4× 222 1.2× 29 1.2k
Heiko Wurdak United Kingdom 20 1.1k 2.1× 235 0.7× 142 0.5× 257 1.1× 261 1.5× 37 1.7k
Shwetal Mehta United States 20 1.0k 2.0× 683 1.9× 136 0.5× 399 1.7× 203 1.1× 71 1.8k
Brett W. Stringer Australia 25 1.1k 2.1× 476 1.3× 241 0.9× 398 1.7× 201 1.1× 61 1.9k

Countries citing papers authored by Gergely Solecki

Since Specialization
Citations

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

Fields of papers citing papers by Gergely Solecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gergely Solecki

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

All Works

18 of 18 papers shown
1.
Schneider, Stefan W., Anna S. Berghoff, Matthia A. Karreman, et al.. (2020). Local blood coagulation drives cancer cell arrest and brain metastasis in a mouse model. Blood. 137(9). 1219–1232. 47 indexed citations
2.
Xie, Ruifan, Tobias Keßler, Julia Grosch, et al.. (2020). Tumor cell network integration in glioma represents a stemness feature. Neuro-Oncology. 23(5). 757–769. 28 indexed citations
3.
Karimian‐Jazi, Kianush, Manuel Fischer, Matthia A. Karreman, et al.. (2020). Monitoring innate immune cell dynamics in the glioma microenvironment by magnetic resonance imaging and multiphoton microscopy (MR-MPM). Theranostics. 10(4). 1873–1883. 35 indexed citations
4.
Breckwoldt, Michael O., Julia Bode, Felix Sahm, et al.. (2019). Correlated MRI and Ultramicroscopy (MR-UM) of Brain Tumors Reveals Vast Heterogeneity of Tumor Infiltration and Neoangiogenesis in Preclinical Models and Human Disease. Frontiers in Neuroscience. 12. 1004–1004. 18 indexed citations
5.
Hahn, Artur, Julia Bode, Gergely Solecki, et al.. (2019). Glioblastoma multiforme restructures the topological connectivity of cerebrovascular networks. Scientific Reports. 9(1). 11757–11757. 22 indexed citations
6.
Solecki, Gergely, Matthias Osswald, D. Weber, et al.. (2019). Differential Effects of Ang-2/VEGF-A Inhibiting Antibodies in Combination with Radio- or Chemotherapy in Glioma. Cancers. 11(3). 314–314. 7 indexed citations
7.
Ziener, Christian H., Ke Zhang, Volker Sturm, et al.. (2018). Vessel radius mapping in an extended model of transverse relaxation. Magnetic Resonance Materials in Physics Biology and Medicine. 31(4). 531–551. 22 indexed citations
8.
Wang, Xiaohong, Aı̈da Valls, Géza Schermann, et al.. (2017). YAP/TAZ Orchestrate VEGF Signaling during Developmental Angiogenesis. Developmental Cell. 42(5). 462–478.e7. 273 indexed citations
9.
Karreman, Matthia A., Bernhard Ruthensteiner, Luc Mercier, et al.. (2017). Find your way with X-Ray. Methods in cell biology. 140. 277–301. 28 indexed citations
10.
Weil, Sophie, Matthias Osswald, Gergely Solecki, et al.. (2017). Tumor microtubes convey resistance to surgical lesions and chemotherapy in gliomas. Neuro-Oncology. 19(10). 1316–1326. 191 indexed citations
11.
Eskilsson, Eskil, Gro Vatne Røsland, Gergely Solecki, et al.. (2017). EGFR heterogeneity and implications for therapeutic intervention in glioblastoma. Neuro-Oncology. 20(6). 743–752. 222 indexed citations
12.
Osswald, Matthias, Jonas Blaes, Yunxiang Liao, et al.. (2016). Impact of Blood–Brain Barrier Integrity on Tumor Growth and Therapy Response in Brain Metastases. Clinical Cancer Research. 22(24). 6078–6087. 88 indexed citations
13.
Osswald, Matthias, Gergely Solecki, Wolfgang Wick, & Frank Winkler. (2016). A malignant cellular network in gliomas: potential clinical implications. Neuro-Oncology. 18(4). 479–485. 85 indexed citations
14.
Karreman, Matthia A., Luc Mercier, Nicole L. Schieber, et al.. (2016). Imaging Single Tumor Cells in Mice Using Multimodal Correlative Microscopy. Microscopy and Microanalysis. 22(S5). 30–31. 1 indexed citations
15.
Osswald, Matthias, Erik Jung, Sophie Weil, et al.. (2016). P08.31 A perivascular niche for progression and resistance in glioblastoma. Neuro-Oncology. 18(suppl_4). iv48–iv48. 1 indexed citations
16.
Bunse, Lukas, Theresa Schumacher, Felix Sahm, et al.. (2015). Proximity ligation assay evaluates IDH1R132H presentation in gliomas. Journal of Clinical Investigation. 125(2). 593–606. 35 indexed citations
17.
Karreman, Matthia A., Luc Mercier, Nicole L. Schieber, et al.. (2015). Fast and precise targeting of single tumor cells in vivo by multimodal correlative microscopy. Journal of Cell Science. 129(2). 444–56. 76 indexed citations
18.
Solecki, Gergely, et al.. (2013). Genotoxic Properties of Cyclopentenone Prostaglandins and the Onset of Glutathione Depletion. Chemical Research in Toxicology. 26(2). 252–261. 7 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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