Gergely Solecki

4.0k citations
18 papers · 1.2k · h-index 14

Impact in

    • Advanced Electron Microscopy Techniques and Applications
  • Genetics top 2%
    • Glioma Diagnosis and Treatment

Papers in

Gergely Solecki

18 papers receiving 1.2k citations

Peers

Gergely Solecki
Comparison fields: 5 of 89
  • Structural Biology 71
  • Genetics 357
  • Cell Biology 271
  • Biophysics 87
  • Cancer Research 176
Replace Boyan K. Garvalov with:
Boyan K. Garvalov Germany
Tali Voloshin Israel
Matthias Osswald Germany
Raphaël Serduc France
An Claes Netherlands
Tracy R. McKnight United States
Susann M. Brady‐Kalnay United States
Beth Coyle United Kingdom
Stacey Watkins United States
Edward Pan United States
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Citations per field
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Boyan K. Garvalov · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Gergely Solecki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gergely Solecki Line = papers co-authored together Gergely Solecki links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2017273
2 2017222
3 2017191
4 201688
5 201685
6 201576
7 202047
8 202035
9 201535
10 202028
11 201728
12 201922
13 201822
14 201918
15 20197
16 20137
17 20161
18 20161

About Gergely Solecki

Gergely Solecki is a scholar working on Molecular Biology, Genetics, Biophysics, Pulmonary and Respiratory Medicine and Structural Biology, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (9 papers), Cell Image Analysis Techniques (5 papers), Single-cell and spatial transcriptomics (3 papers), Brain Metastases and Treatment (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Advanced MRI Techniques and Applications (2 papers), Advanced Electron Microscopy Techniques and Applications (2 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Structural Biology (71 citations), Genetics (357 citations), Cell Biology (271 citations), Biophysics (87 citations) and Cancer Research (176 citations). Gergely Solecki has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Frank Winkler, Wolfgang Wick, Matthias Osswald, Julia Grosch, Eskil Eskilsson, Qianghu Wang, Grazia Graziani, Roel G.W. Verhaak, Rolf Bjerkvig and Hrvoje Miletić. Their work appears in journals such as Neuro-Oncology, Magnetic Resonance Materials in Physics Biology and Medicine, Clinical Cancer Research, Scientific Reports and Cancers.

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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