E. Göttert

488 citations
14 papers · 416 · h-index 7

Impact in

Papers in

    • Genomics and Chromatin Dynamics 3
    • CRISPR and Genetic Engineering 2
    • Animal Genetics and Reproduction 2
    • Genomic variations and chromosomal abnormalities 2

E. Göttert

14 papers receiving 410 citations

Peers

E. Göttert
Comparison fields: 5 of 58
  • Physical and Theoretical Chemistry 45
  • Molecular Biology 341
  • Organic Chemistry 118
  • Genetics 41
  • Cancer Research 45
Replace Mikaela Lindfors with:
Mikaela Lindfors Finland
E. Stanbridge United States
Kristiina Nordfors Finland
Y. Lou China
James R. Porter United States
Mari Leppilampi Finland
Lori K. Gavrin United States
Ulla Hamberg Finland
Antje Güttler Germany
Christophe Thurieau France
E. Göttert relative to Mikaela Lindfors Finland Mikaela Lindfors's profile →
Citations per field
00.5×1.5×2.0×
Mikaela Lindfors · 1×
Citations per year

Countries citing papers authored by E. Göttert

Since Specialization
Citations

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

Fields of papers citing papers by E. Göttert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside E. Göttert, 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 E. Göttert Line = papers co-authored together E. Göttert links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1998303
2 199621
3
Characterization of a continuous cell line (MHH-NB-11) derived from advanced neuroblastoma.
198917
4 200316
5 200414
6 199414
7 19929
8
Differential activity of two oncogenes from chromosome #7 in human glioblastoma cell lines.
19895
9 19894
10 19914
11 19894
12 19893
13 19891
14 19951

About E. Göttert

E. Göttert is a scholar working on Molecular Biology, Genetics, Oncology, Cell Biology and Neurology, having authored 14 papers that have together received 416 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Animal Genetics and Reproduction (2 papers), Chromosomal and Genetic Variations (2 papers), CRISPR and Genetic Engineering (2 papers), Microtubule and mitosis dynamics (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Neuroblastoma Research and Treatments (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Physical and Theoretical Chemistry (45 citations), Molecular Biology (341 citations), Organic Chemistry (118 citations), Genetics (41 citations) and Cancer Research (45 citations). E. Göttert has collaborated with scholars based in Germany, Poland and Netherlands. Frequent co-authors include William S. Sly, Uğur Şahin, Stefan Siemer, Gerhard Seitz, Anna‐Kaisa Parkkila, Michael Pfreundschuh, Jeffrey H. Grubb, Özlem Türeci, Gul N. Shah and K. D. Zang. Their work appears in journals such as Human Genetics, Cytogenetic and Genome Research, European Journal of Cancer, Neurology and Nucleic Acids Research.

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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