Daniela Grimm

242 papers receiving 8.5k citations

Daniela Grimm's Hit Papers

The role of SOX family members in solid tumours and metastasis 2019 · 299 citations
2990+2+4Years since publication50100150200250

Peers

Daniela Grimm
Comparison fields: 5 of 155
  • Aging 830
  • Physiology 4.1k
  • Biophysics 374
  • Developmental Neuroscience 176
  • Cancer Research 612
Replace Manfred Infanger with:
Manfred Infanger Germany
Markus Wehland Germany
Timothy G. Hammond United States
Kazuo Nagashima Japan
Norbert Hübner Germany
Hanjoong Jo United States
Peng Shang China
Akihisa Takahashi Japan
Jay M. McDonald United States
Liu Y China
Daniela Grimm relative to Manfred Infanger Germany Manfred Infanger's profile →
Citations per field
00.5×1.5×
Manfred Infanger · 1×
Citations per year

Countries citing papers authored by Daniela Grimm

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Grimm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 249 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The role of SOX family members in solid tumours and metastasis
Hit paper breakdown →
2019299
2 1998195
3 2016193
4 2007162
5 2002149
6 1995134
7 2008128
8 2002124
9 2011122
10 2006122
11 2014112
12 2013109
13 2019104
14 2016100
15 201997
16 201193
17 202086
18 201184
19 199982
20 201381

About Daniela Grimm

Daniela Grimm is a scholar working on Physiology, Molecular Biology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 249 papers that have together received 8.6k indexed citations. Recurring topics across this work include Spaceflight effects on biology (114 papers), Space Exploration and Technology (27 papers), Genetics, Aging, and Longevity in Model Organisms (21 papers), High Altitude and Hypoxia (13 papers), 3D Printing in Biomedical Research (13 papers), Cancer, Hypoxia, and Metabolism (13 papers), Thyroid Cancer Diagnosis and Treatment (13 papers) and Electromagnetic Fields and Biological Effects (10 papers). The work is most often cited by research in Aging (830 citations), Physiology (4.1k citations), Biophysics (374 citations), Developmental Neuroscience (176 citations) and Cancer Research (612 citations). Daniela Grimm has collaborated with scholars based in Germany, Denmark and United States. Frequent co-authors include Manfred Infanger, Markus Wehland, Johann Bauer, Marcus Krüger, Thomas J. Corydon, Jessica Pietsch, Petra M. Wise, Johannes Grosse, Peter Koßmehl and Jayashree Sahana. Their work appears in journals such as International Journal of Molecular Sciences, Basic & Clinical Pharmacology & Toxicology, Cellular Physiology and Biochemistry, Scientific Reports and PROTEOMICS.

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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