Daniel Groelz

632 total citations
11 papers, 343 citations indexed

About

Daniel Groelz is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Daniel Groelz has authored 11 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Oncology. Recurrent topics in Daniel Groelz's work include Molecular Biology Techniques and Applications (9 papers), Virus-based gene therapy research (4 papers) and RNA Research and Splicing (4 papers). Daniel Groelz is often cited by papers focused on Molecular Biology Techniques and Applications (9 papers), Virus-based gene therapy research (4 papers) and RNA Research and Splicing (4 papers). Daniel Groelz collaborates with scholars based in Germany, Austria and Netherlands. Daniel Groelz's co-authors include Kurt Zatloukal, Christian Viertler, Ralf Wyrich, Carolyn C. Compton, Philip A. Branton, Leslie H. Sobin, Lynne Rainen, Karl‐Friedrich Becker, Peter Riegman and Uwe Oelmüller and has published in prestigious journals such as PLoS ONE, Journal of Proteome Research and Lung Cancer.

In The Last Decade

Daniel Groelz

11 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Groelz Germany 7 253 82 47 43 35 11 343
Georgia Kontostathi Greece 13 195 0.8× 66 0.8× 34 0.7× 31 0.7× 27 0.8× 17 342
Yuxia Zhan United States 12 202 0.8× 55 0.7× 77 1.6× 26 0.6× 23 0.7× 20 425
Beverley Wilson Canada 3 118 0.5× 45 0.5× 37 0.8× 10 0.2× 33 0.9× 7 249
Hideaki Toki Japan 9 214 0.8× 34 0.4× 66 1.4× 42 1.0× 11 0.3× 12 396
Wei-Wen Jiang United States 6 288 1.1× 96 1.2× 66 1.4× 34 0.8× 82 2.3× 6 461
Bethany Geary United Kingdom 12 133 0.5× 46 0.6× 39 0.8× 19 0.4× 11 0.3× 25 265
Stanley G. Leung United States 9 298 1.2× 64 0.8× 124 2.6× 32 0.7× 13 0.4× 25 430
Wendy Theelen Netherlands 10 260 1.0× 58 0.7× 122 2.6× 34 0.8× 46 1.3× 15 478
Helena Bäckvall Sweden 10 246 1.0× 46 0.6× 103 2.2× 21 0.5× 9 0.3× 18 394
Siegfried Loeschke Germany 12 275 1.1× 195 2.4× 70 1.5× 43 1.0× 43 1.2× 17 448

Countries citing papers authored by Daniel Groelz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Groelz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Groelz

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

All Works

11 of 11 papers shown
1.
Southwood, Mark, Perry Maxwell, Peter Stewart, et al.. (2019). Systematic evaluation of PAXgene® tissue fixation for the histopathological and molecular study of lung cancer. The Journal of Pathology Clinical Research. 6(1). 40–54. 8 indexed citations
2.
Groelz, Daniel, et al.. (2018). Impact of storage conditions on the quality of nucleic acids in paraffin embedded tissues. PLoS ONE. 13(9). e0203608–e0203608. 60 indexed citations
3.
Southwood, Mark, et al.. (2018). Systematic evaluation of PAXgene tissue fixation for the histopathological and molecular study of lung cancer. Lung Cancer. 115. S3–S3. 1 indexed citations
4.
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6.
Loibner, Martina, Walter Buzina, Christian Viertler, et al.. (2016). Pathogen Inactivating Properties and Increased Sensitivity in Molecular Diagnostics by PAXgene, a Novel Non-Crosslinking Tissue Fixative. PLoS ONE. 11(3). e0151383–e0151383. 3 indexed citations
7.
Loibner, Martina, et al.. (2016). Protocol for HER2 FISH determination on PAXgene‐fixed and paraffin‐embedded tissue in breast cancer. International Journal of Experimental Pathology. 97(2). 202–206. 9 indexed citations
8.
Gündisch, Sibylle, Claudia Wolff, Christina Schott, et al.. (2013). Delayed Times to Tissue Fixation Result in Unpredictable Global Phosphoproteome Changes. Journal of Proteome Research. 12(10). 4424–4434. 23 indexed citations
9.
Groelz, Daniel, Leslie H. Sobin, Philip A. Branton, et al.. (2012). Non-formalin fixative versus formalin-fixed tissue: A comparison of histology and RNA quality. Experimental and Molecular Pathology. 94(1). 188–194. 97 indexed citations
10.
Viertler, Christian, Daniel Groelz, Sibylle Gündisch, et al.. (2012). A New Technology for Stabilization of Biomolecules in Tissues for Combined Histological and Molecular Analyses. Journal of Molecular Diagnostics. 14(5). 458–466. 74 indexed citations
11.
Kap, Marcel, Frank Smedts, Wolter Oosterhuis, et al.. (2011). Histological Assessment of PAXgene Tissue Fixation and Stabilization Reagents. PLoS ONE. 6(11). e27704–e27704. 64 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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