Michael Gerg
Impact in
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms
- Cancer, Hypoxia, and Metabolism
- Oncology top 10%
- Peptidase Inhibition and Analysis
- Pancreatic and Hepatic Oncology Research
Papers in
-
- Signaling Pathways in Disease 2
- Glycosylation and Glycoproteins Research 2
- Oncology 7
- Peptidase Inhibition and Analysis 5
- HER2/EGFR in Cancer Research 2
- Co-authors
- Achim Krüger (9 shared papers)Charlotte Kopitz (4 shared papers)Shahriar Mobashery (1 shared paper)Matthias Arlt (1 shared paper)M. Margarida Bernardo (1 shared paper)Rafael Fridman (1 shared paper)Susanne Schaten (4 shared papers)Mayland Chang (1 shared paper)
- Journals
- Molecular Cancer Research (2 papers)Cancer Research (2 papers)Journal of Biological Chemistry (2 papers)PLoS ONE (2 papers)Biomaterials (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Michael Gerg
16 papers receiving 555 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 211
- Oncology 234
- Immunology and Allergy 49
- Hepatology 39
- Hematology 48
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 | 128 | |
| 2 | 2005 | 105 | |
| 3 | 2016 | 47 | |
| 4 | 2011 | 47 | |
| 5 | 2008 | 42 | |
| 6 | 2015 | 41 | |
| 7 | 2009 | 38 | |
| 8 | 2017 | 36 | |
| 9 | 2008 | 21 | |
| 10 | 2011 | 17 | |
| 11 | 2010 | 11 | |
| 12 | 2008 | 8 | |
| 13 | 2014 | 7 | |
| 14 | 2015 | 7 | |
| 15 | 2019 | 3 | |
| 16 | 2023 | 1 |
About Michael Gerg
Michael Gerg is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 559 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (6 papers), Peptidase Inhibition and Analysis (5 papers), Cell Adhesion Molecules Research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Signaling Pathways in Disease (2 papers), Mesenchymal stem cell research (2 papers), HER2/EGFR in Cancer Research (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Cancer Research (211 citations), Oncology (234 citations), Immunology and Allergy (49 citations), Hepatology (39 citations) and Hematology (48 citations). Michael Gerg has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Achim Krüger, Charlotte Kopitz, Shahriar Mobashery, Matthias Arlt, M. Margarida Bernardo, Rafael Fridman, Susanne Schaten, Mayland Chang, Dylan R. Edwards and Björn L.D.M. Brücher. Their work appears in journals such as Molecular Cancer Research, Cancer Research, Journal of Biological Chemistry, PLoS ONE and Biomaterials.
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.