Michael Gerg
Impact in
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms
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- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
Papers in
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- Protease and Inhibitor Mechanisms 8
- Cancer, Hypoxia, and Metabolism 1
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- Toxin Mechanisms and Immunotoxins 1
- Co-authors
- Achim Krüger (9 shared papers)Charlotte Kopitz (4 shared papers)M. Margarida Bernardo (1 shared paper)Mayland Chang (1 shared paper)Matthias Arlt (1 shared paper)Rafael A. Fridman (1 shared paper)Shahriar Mobashery (1 shared paper)Dylan R. Edwards (3 shared papers)
- Journals
- PLoS ONE (2 papers)Cancer Research (2 papers)Molecular Cancer Research (2 papers)Journal of Biological Chemistry (2 papers)Human Gene Therapy (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Michael Gerg
16 papers receiving 591 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 235
- Oncology 92
- Hepatology 26
- Rheumatology 30
- Molecular Biology 128
Countries citing papers authored by Michael Gerg
This map shows the geographic impact of Michael Gerg'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 Michael Gerg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Gerg more than expected).
Fields of papers citing papers by Michael Gerg
This network shows the impact of papers produced by Michael Gerg. 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 Michael Gerg. The network helps show where Michael Gerg may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Gerg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 132 | |
| 2 | 2005 | 109 | |
| 3 | 2008 | 50 | |
| 4 | 2011 | 49 | |
| 5 | 2016 | 49 | |
| 6 | 2015 | 45 | |
| 7 | 2017 | 40 | |
| 8 | 2009 | 38 | |
| 9 | 2008 | 22 | |
| 10 | 2011 | 18 | |
| 11 | 2010 | 11 | |
| 12 | 2015 | 9 | |
| 13 | 2008 | 8 | |
| 14 | 2014 | 7 | |
| 15 | 2011 | 6 | |
| 16 | 2019 | 3 |
About Michael Gerg
Michael Gerg is a scholar working on Cancer Research, Immunology, Radiology, Nuclear Medicine and Imaging, Oncology and Immunology and Allergy, having authored 16 papers that have together received 596 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (8 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA Interference and Gene Delivery (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Periodontal Regeneration and Treatments (1 paper), Toxin Mechanisms and Immunotoxins (1 paper), RNA Research and Splicing (1 paper) and Hemostasis and retained surgical items (1 paper). The work is most often cited by research in Cancer Research (235 citations), Oncology (92 citations), Hepatology (26 citations), Rheumatology (30 citations) and Molecular Biology (128 citations). Michael Gerg has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Achim Krüger, Charlotte Kopitz, M. Margarida Bernardo, Mayland Chang, Matthias Arlt, Rafael A. Fridman, Shahriar Mobashery, Dylan R. Edwards, Susanne Schaten and Karsten Brand. Their work appears in journals such as PLoS ONE, Cancer Research, Molecular Cancer Research, Journal of Biological Chemistry and Human Gene Therapy.
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.