Eva Kling

1.4k total citations
12 papers, 217 citations indexed

About

Eva Kling is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Eva Kling has authored 12 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Eva Kling's work include Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (3 papers) and Glioma Diagnosis and Treatment (2 papers). Eva Kling is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (3 papers) and Glioma Diagnosis and Treatment (2 papers). Eva Kling collaborates with scholars based in Germany, Sweden and Italy. Eva Kling's co-authors include Maria Stella Carro, Roberto Ferrarese, Sven Nelander, Thomas Unterkircher, Fangping Dai, Dieter Henrik Heiland, Astrid Weyerbrock, Paula Kroon, Thomas Winckler and Oliver Schnell and has published in prestigious journals such as Nucleic Acids Research, Oncogene and eLife.

In The Last Decade

Eva Kling

12 papers receiving 213 citations

Peers

Eva Kling

MB

CR

GENET

IMMUN

ONCOL

Gaoxiang Jia United States

Devon F. Pendlebury United States

Marc Wiedner Austria

Mariaelena Pistoni Italy

Yu Shen China

Asif H. Chowdhury United States

Yawen Pan China

Luciano E. Marasco Argentina

Dazhuan Xin United States

Roza Berhanu Lemma Norway

Gaoxiang Jia United States

Eva Kling

137 ×0.8

MB

53 ×0.9

CR

31 ×0.8

GENET

31 ×1.0

IMMUN

33 ×1.6

ONCOL

Citations per year, relative to Eva Kling Eva Kling (= 1×) peers Gaoxiang Jia

Countries citing papers authored by Eva Kling

Since Specialization

Citations

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

Fields of papers citing papers by Eva Kling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Kling

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

All Works

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12 of 12 papers shown

1.

Ferrarese, Roberto, Kevin Joseph, Geoffroy Andrieux, et al.. (2024). ZBTB18 regulates cytokine expression and affects microglia/macrophage recruitment and commitment in glioblastoma. Communications Biology. 7(1). 1472–1472. 1 indexed citations

2.

Yuan, Shuai, Eva Kling, Geoffroy Andrieux, et al.. (2022). Calpain-mediated cleavage generates a ZBTB18 N-terminal product that regulates HIF1A signaling and glioblastoma metabolism. iScience. 25(7). 104625–104625. 5 indexed citations

3.

Ferrarese, Roberto, Annalisa Izzo, Geoffroy Andrieux, et al.. (2022). ZBTB18 inhibits SREBP-dependent lipid synthesis by halting CTBPs and LSD1 activity in glioblastoma. Life Science Alliance. 6(1). e202201400–e202201400. 9 indexed citations

4.

Marques, Carolina, Thomas Unterkircher, Paula Kroon, et al.. (2021). NF1 regulates mesenchymal glioblastoma plasticity and aggressiveness through the AP-1 transcription factor FOSL1. eLife. 10. 58 indexed citations

5.

Ferrarese, Roberto, et al.. (2018). BTC1.05 Role and significance of ZBTB18-CTBP2 interaction in Glioblastoma. Neuro-Oncology. 20(suppl_3). iii216–iii216. 1 indexed citations

6.

Kling, Eva, et al.. (2018). Convergent evolution of integration site selection upstream of tRNA genes by yeast and amoeba retrotransposons. Nucleic Acids Research. 46(14). 7250–7260. 3 indexed citations

7.

Fedele, Vita, Fangping Dai, Dieter Henrik Heiland, et al.. (2017). Epigenetic Regulation of ZBTB18 Promotes Glioblastoma Progression. Molecular Cancer Research. 15(8). 998–1011. 30 indexed citations

8.

Ferrarese, Roberto, Eva Kling, Nanda K. Thudi, et al.. (2017). KLF6 depletion promotes NF-κB signaling in glioblastoma. Oncogene. 36(25). 3562–3575. 29 indexed citations

9.

Kling, Eva, et al.. (2016). Convergent evolution of tRNA gene targeting preferences in compact genomes. Mobile DNA. 7(1). 17–17. 15 indexed citations

10.

Heiland, Dieter Henrik, Roberto Ferrarese, Rainer Claus, et al.. (2016). c-Jun-N-terminal phosphorylation regulates DNMT1 expression and genome wide methylation in gliomas. Oncotarget. 8(4). 6940–6954. 19 indexed citations

11.

Ahting, Uwe, Thomas Floß, Lore Becker, et al.. (2008). Neurological phenotype and reduced lifespan in heterozygous Tim23 knockout mice, the first mouse model of defective mitochondrial import. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1787(5). 371–376. 28 indexed citations

12.

Schneider, Ilka, Werner S. Tirsch, Theresa Faus-Keßler, et al.. (2006). Systematic, standardized and comprehensive neurological phenotyping of inbred mice strains in the German Mouse Clinic. Journal of Neuroscience Methods. 157(1). 82–90. 19 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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