Anja Krones‐Herzig
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Aging top 10%
Papers in
-
- Epigenetics and DNA Methylation 4
- Metabolism, Diabetes, and Cancer 3
- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 3
- Cancer-related gene regulation 2
- Oncology 5
- Cancer-related Molecular Pathways 4
- Co-authors
- Dan Mercola (4 shared papers)Eileen D. Adamson (3 shared papers)Stephan Herzig (10 shared papers)Mauricio Berriel Díaz (7 shared papers)G. de Gregorio (2 shared papers)Véronique Baron (2 shared papers)Thierry Virolle (2 shared papers)Alexandros Vegiopoulos (4 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Cell Metabolism (2 papers)Diabetes (1 paper)Nature Communications (1 paper)Blood (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Anja Krones‐Herzig
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Cancer Research 202
- Aging 19
- Molecular Biology 608
- Endocrinology, Diabetes and Metabolism 127
- Physiology 181
Countries citing papers authored by Anja Krones‐Herzig
This map shows the geographic impact of Anja Krones‐Herzig'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 Anja Krones‐Herzig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anja Krones‐Herzig more than expected).
Fields of papers citing papers by Anja Krones‐Herzig
This network shows the impact of papers produced by Anja Krones‐Herzig. 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 Anja Krones‐Herzig. The network helps show where Anja Krones‐Herzig may publish in the future.
Co-authors
The 25 scholars most cited alongside Anja Krones‐Herzig, 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 | 2003 | 122 | |
| 2 | 2005 | 121 | |
| 3 | 2008 | 118 | |
| 4 | 2003 | 99 | |
| 5 | 2008 | 90 | |
| 6 | 2003 | 89 | |
| 7 | 2012 | 78 | |
| 8 | 2011 | 72 | |
| 9 | 2014 | 61 | |
| 10 | 2009 | 43 | |
| 11 | 2008 | 38 | |
| 12 | 2002 | 36 | |
| 13 | 2014 | 36 | |
| 14 | 2005 | 35 | |
| 15 | 2003 | 28 | |
| 16 | 2016 | 28 | |
| 17 | 2003 | 22 | |
| 18 | 2010 | 10 | |
| 19 | Identification of genes associated with tumor progression using microarrays. | 2005 | 4 |
About Anja Krones‐Herzig
Anja Krones‐Herzig is a scholar working on Molecular Biology, Oncology, Cancer Research, Epidemiology and Physiology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Epigenetics and DNA Methylation (4 papers), Metabolism, Diabetes, and Cancer (3 papers), RNA Research and Splicing (3 papers), Adipose Tissue and Metabolism (3 papers), Genomics and Chromatin Dynamics (3 papers), Liver Disease Diagnosis and Treatment (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Cancer Research (202 citations), Aging (19 citations), Molecular Biology (608 citations), Endocrinology, Diabetes and Metabolism (127 citations) and Physiology (181 citations). Anja Krones‐Herzig has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Dan Mercola, Eileen D. Adamson, Stephan Herzig, Mauricio Berriel Díaz, G. de Gregorio, Véronique Baron, Thierry Virolle, Alexandros Vegiopoulos, Hubert Kalbacher and Frank Rösl. Their work appears in journals such as Journal of Biological Chemistry, Cell Metabolism, Diabetes, Nature Communications and Blood.
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.