Magda Gerigk

439 citations
11 papers · 330 · h-index 10

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • 3D Printing in Biomedical Research
    • Advanced Sensor and Energy Harvesting Materials

Papers in

    • 3D Printing in Biomedical Research 4
    • Microfluidic and Bio-sensing Technologies 3
    • Advanced Sensor and Energy Harvesting Materials 2
    • Circular RNAs in diseases 2

Magda Gerigk

11 papers receiving 327 citations

Peers

Magda Gerigk
Comparison fields: 5 of 52
  • Cancer Research 53
  • Biomedical Engineering 142
  • Biomaterials 40
  • Genetics 27
  • Neurology 19
Replace Dianjun Qi with:
Dianjun Qi China
Meghan Logun United States
Ilkyoo Koh South Korea
Daniel M. Lewis United States
Smrithi Padmakumar United States
Jesse Liang United States
Kayla J. Wolf United States
Joseph Harris United States
Florent Arnauduc France
Disha Sood United States
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Citations per field
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Citations per year

Countries citing papers authored by Magda Gerigk

Since Specialization
Citations

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

Fields of papers citing papers by Magda Gerigk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 202058
2 201551
3 202146
4 201542
5 202128
6 201926
7 201825
8 201624
9 201817
10 20249
11 20214

About Magda Gerigk

Magda Gerigk is a scholar working on Biomedical Engineering, Molecular Biology, Oncology, Cancer Research and Automotive Engineering, having authored 11 papers that have together received 330 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (4 papers), Microfluidic and Bio-sensing Technologies (3 papers), Circular RNAs in diseases (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), MicroRNA in disease regulation (2 papers), Cancer-related molecular mechanisms research (2 papers), Nanomaterials and Printing Technologies (1 paper) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Cancer Research (53 citations), Biomedical Engineering (142 citations), Biomaterials (40 citations), Genetics (27 citations) and Neurology (19 citations). Magda Gerigk has collaborated with scholars based in United Kingdom, United States and South Sudan. Frequent co-authors include Yan Yan Shery Huang, George G. Malliaras, Susan E. Nozell, Chenbei Chang, Amanda E. Jones, Hengbin Wang, Iasonas F. Triantis, Colin Watts, Wenyu Wang and Etty Benveniste. Their work appears in journals such as Oncotarget, Advanced Science, Physical Biology, Glia and ACS Applied Materials & Interfaces.

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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