Matthias Groß

3.5k total citations · 1 hit paper
14 papers, 2.6k citations indexed

About

Matthias Groß is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Matthias Groß has authored 14 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cancer Research, 12 papers in Molecular Biology and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Matthias Groß's work include Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (9 papers) and RNA Research and Splicing (8 papers). Matthias Groß is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (9 papers) and RNA Research and Splicing (8 papers). Matthias Groß collaborates with scholars based in Germany, United States and Taiwan. Matthias Groß's co-authors include Sven Diederichs, Tony Gutschner, Monika Hämmerle, Moritz F. Eissmann, Martin Zörnig, Jeff Hsu, A. Robert MacLeod, David L. Spector, Gene Hung and Alexey S. Revenko and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Cell Biology.

In The Last Decade

Matthias Groß

13 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Noncoding RNA MALAT1 Is a Critical Regulator of the Metastasis Phenotype of Lung Cancer Cells

2012 1.3k citations Tony Gutschner, Monika Hämmerle et al. Cancer Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthias Groß Germany	12	2.3k	2.2k	169	119	117	14	2.6k
Anirban Sahu United States	10	2.4k 1.0×	2.4k 1.1×	150 0.9×	121 1.0×	296 2.5×	13	2.8k
Yasuyuki Hosono Japan	10	2.2k 1.0×	2.0k 0.9×	146 0.9×	249 2.1×	230 2.0×	16	2.6k
Zhe Yang China	17	2.2k 0.9×	2.2k 1.0×	243 1.4×	117 1.0×	83 0.7×	43	2.6k
Mirna Mourtada‐Maarabouni United Kingdom	24	1.9k 0.8×	1.6k 0.7×	140 0.8×	160 1.3×	92 0.8×	38	2.2k
Moritz F. Eissmann Australia	15	1.7k 0.7×	1.5k 0.7×	124 0.7×	246 2.1×	141 1.2×	27	2.2k
Sarah D. Diermeier New Zealand	19	1.7k 0.7×	1.2k 0.5×	92 0.5×	143 1.2×	86 0.7×	31	1.9k
Tiffany Hung United States	7	4.7k 2.0×	4.4k 2.0×	312 1.8×	186 1.6×	170 1.5×	9	5.2k
Pieter‐Jan Volders Belgium	17	1.6k 0.7×	1.5k 0.7×	80 0.5×	45 0.4×	57 0.5×	38	1.9k
Yifan Lian China	22	1.1k 0.5×	1.0k 0.5×	188 1.1×	148 1.2×	172 1.5×	52	1.4k

Countries citing papers authored by Matthias Groß

Since Specialization

Citations

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

Fields of papers citing papers by Matthias Groß

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Groß

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

All Works

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14 of 14 papers shown

Groß, Matthias, Bianca Grosser, Éva Sipos, et al.. (2024). SARIFA as a new histopathological biomarker is associated with adverse clinicopathological characteristics, tumor-promoting fatty-acid metabolism, and might predict a metastatic pattern in pT3a prostate cancer. BMC Cancer. 24(1). 65–65. 10 indexed citations

Groß, Matthias, Si’Ana A. Coggins, Nitin Patil, et al.. (2020). The lncRNA lincNMR regulates nucleotide metabolism via a YBX1 - RRM2 axis in cancer. Nature Communications. 11(1). 3214–3214. 93 indexed citations

Dhamija, Sonam, Jeanette Seiler, Ksenia Myacheva, et al.. (2020). A pan-cancer analysis reveals nonstop extension mutations causing SMAD4 tumour suppressor degradation. Nature Cell Biology. 22(8). 999–1010. 20 indexed citations

Sharma, Yogita, Milad Miladi, Karine Boulay, et al.. (2019). A pan-cancer analysis of synonymous mutations. Nature Communications. 10(1). 2569–2569. 130 indexed citations

Polycarpou‐Schwarz, Maria, Matthias Groß, Pieter Mestdagh, et al.. (2018). The cancer-associated microprotein CASIMO1 controls cell proliferation and interacts with squalene epoxidase modulating lipid droplet formation. Oncogene. 37(34). 4750–4768. 134 indexed citations

Boulay, Karine, Matthias Groß, Maria Polycarpou‐Schwarz, et al.. (2018). Targeting LINC00673 expression triggers cellular senescence in lung cancer. RNA Biology. 15(12). 1499–1511. 28 indexed citations

Klingenberg, Marcel, Matthias Groß, Ashish Goyal, et al.. (2018). The Long Noncoding RNA Cancer Susceptibility 9 and RNA Binding Protein Heterogeneous Nuclear Ribonucleoprotein L Form a Complex and Coregulate Genes Linked to AKT Signaling. Hepatology. 68(5). 1817–1832. 106 indexed citations

Goyal, Ashish, Evgenij Fiškin, Tony Gutschner, et al.. (2017). A cautionary tale of sense-antisense gene pairs: independent regulation despite inverse correlation of expression. Nucleic Acids Research. 45(21). 12496–12508. 62 indexed citations

Frank, Lukas, Maria Polycarpou‐Schwarz, Matthias Groß, et al.. (2017). The long non-coding RNA LINC00152 is essential for cell cycle progression through mitosis in HeLa cells. Scientific Reports. 7(1). 2265–2265. 46 indexed citations

10.

Goyal, Ashish, et al.. (2016). Challenges of CRISPR/Cas9 applications for long non-coding RNA genes. Nucleic Acids Research. 45(3). gkw883–gkw883. 168 indexed citations

11.

Hämmerle, Monika, Tony Gutschner, Hannah J. Uckelmann, et al.. (2013). Posttranscriptional destabilization of the liver-specific long noncoding RNA HULC by the IGF2 mRNA-binding protein 1 (IGF2BP1). Hepatology. 58(5). 1703–1712. 203 indexed citations

12.

Gutschner, Tony, Monika Hämmerle, Moritz F. Eissmann, et al.. (2013). Abstract 1121: The long non-coding RNA MALAT1 is an essential gene regulator for lung cancer metastasis in a novel human knockout model .. Cancer Research. 73(8_Supplement). 1121–1121.

13.

Gutschner, Tony, Monika Hämmerle, Moritz F. Eissmann, et al.. (2012). The Noncoding RNA MALAT1 Is a Critical Regulator of the Metastasis Phenotype of Lung Cancer Cells. Cancer Research. 73(3). 1180–1189. 1307 indexed citations breakdown →

14.

Eissmann, Moritz F., Tony Gutschner, Monika Hämmerle, et al.. (2012). Loss of the abundant nuclear non-coding RNAMALAT1is compatible with life and development. RNA Biology. 9(8). 1076–1087. 329 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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