Eva Herker
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Hepatology top 1%
- Hepatitis C virus research
Papers in
-
- Fungal and yeast genetics research 7
- Cell death mechanisms and regulation 5
- DNA Repair Mechanisms 4
- Hepatology 14
- Hepatitis C virus research 13
- Co-authors
- Frank Madeo (11 shared papers)Silke Wissing (6 shared papers)Mélanie Ott (10 shared papers)Stephan J. Sigrist (3 shared papers)Markus Fehr (2 shared papers)Helmut Jungwirth (3 shared papers)Sabrina Büttner (3 shared papers)Kai‐Uwe Fröhlich (3 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)The Journal of Cell Biology (4 papers)Molecular Cell (2 papers)PLoS Pathogens (2 papers)Journal of Visualized Experiments (2 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Eva Herker
42 papers receiving 3.8k citations
Eva Herker's Hit Papers
Peers
Comparison fields: 5 of 108
- Aging 277
- Hepatology 535
- Biochemistry 479
- Molecular Biology 2.4k
- Cell Biology 560
Countries citing papers authored by Eva Herker
This map shows the geographic impact of Eva Herker'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 Eva Herker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Herker more than expected).
Fields of papers citing papers by Eva Herker
This network shows the impact of papers produced by Eva Herker. 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 Eva Herker. The network helps show where Eva Herker may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Herker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Caspase-Related Protease Regulates Apoptosis in Yeast Hit paper breakdown → | 2002 | 730 |
| 2 | 2004 | 433 | |
| 3 | 2004 | 325 | |
| 4 | 2010 | 273 | |
| 5 | 2004 | 253 | |
| 6 | 2002 | 170 | |
| 7 | 2006 | 143 | |
| 8 | 2021 | 133 | |
| 9 | 2013 | 114 | |
| 10 | 2005 | 112 | |
| 11 | 2016 | 103 | |
| 12 | 2013 | 97 | |
| 13 | 2011 | 95 | |
| 14 | 2013 | 91 | |
| 15 | 2011 | 89 | |
| 16 | 2005 | 82 | |
| 17 | 2011 | 70 | |
| 18 | 2018 | 68 | |
| 19 | 2009 | 61 | |
| 20 | 2003 | 56 |
About Eva Herker
Eva Herker is a scholar working on Molecular Biology, Hepatology, Biochemistry, Epidemiology and Cell Biology, having authored 43 papers that have together received 3.9k indexed citations. Recurring topics across this work include Hepatitis C virus research (13 papers), Lipid metabolism and biosynthesis (12 papers), Endoplasmic Reticulum Stress and Disease (9 papers), Fungal and yeast genetics research (7 papers), Liver Disease Diagnosis and Treatment (6 papers), Plant Virus Research Studies (6 papers), Cell death mechanisms and regulation (5 papers) and DNA Repair Mechanisms (4 papers). The work is most often cited by research in Aging (277 citations), Hepatology (535 citations), Biochemistry (479 citations), Molecular Biology (2.4k citations) and Cell Biology (560 citations). Eva Herker has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Frank Madeo, Silke Wissing, Mélanie Ott, Stephan J. Sigrist, Markus Fehr, Helmut Jungwirth, Sabrina Büttner, Kai‐Uwe Fröhlich, Tobias Eisenberg and Robert V. Farese. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology, Molecular Cell, PLoS Pathogens and Journal of Visualized Experiments.
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.