Christina Grimm

2.3k citations
33 papers · 1.4k · h-index 17

Impact in

Papers in

    • Epigenetics and DNA Methylation 8
    • RNA modifications and cancer 7
    • Genomics and Chromatin Dynamics 5
    • RNA Research and Splicing 4
    • Protein Degradation and Inhibitors 3
    • Chronic Lymphocytic Leukemia Research 3

Christina Grimm

32 papers receiving 1.4k citations

Peers

Christina Grimm
Comparison fields: 5 of 101
  • Structural Biology 35
  • Cancer Research 357
  • Molecular Biology 1.1k
  • Genetics 230
  • Surfaces, Coatings and Films 28
Replace Götz von Wichert with:
Götz von Wichert Germany
Samuel E. Senyo United States
Margot P. Scheffer Germany
Hironobu Nakane Japan
Lucio Scopsi Italy
Jury M. Vasiliev Russia
Hongjun Liu China
Dominique Ploton France
Tomoko Yonezawa Japan
Jenu V. Chacko United States
Christina Grimm relative to Götz von Wichert Germany Götz von Wichert's profile →
Citations per field
00.5×
Götz von Wichert · 1×
Citations per year

Countries citing papers authored by Christina Grimm

Since Specialization
Citations

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

Fields of papers citing papers by Christina Grimm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013235
2 2009201
3 2008171
4 2010132
5 2005104
6 201095
7 200849
8 201449
9 199946
10 201646
11 201340
12 201238
13 200836
14 199833
15 201220
16 201217
17 202016
18 200715
19 202112
20 201512

About Christina Grimm

Christina Grimm is a scholar working on Molecular Biology, Genetics, Cancer Research, Pathology and Forensic Medicine and Epidemiology, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), RNA modifications and cancer (7 papers), Genomics and Chromatin Dynamics (5 papers), RNA Research and Splicing (4 papers), MicroRNA in disease regulation (3 papers), Protein Degradation and Inhibitors (3 papers), Genetic factors in colorectal cancer (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Structural Biology (35 citations), Cancer Research (357 citations), Molecular Biology (1.1k citations), Genetics (230 citations) and Surfaces, Coatings and Films (28 citations). Christina Grimm has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Ralf Herwig, Lukas Chávez, Hans Lehrach, Markus Morkel, Matthias Lienhard, Siegrun Mebus, Silke Sperling, Ilona Dunkel, Bernd Timmermann and Wilfried Nietfeld. Their work appears in journals such as Nucleic Acids Research, Genome Research, PLoS ONE, Journal of Cellular Biochemistry and Human Molecular Genetics.

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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