Eva Herker

6.8k total citations · 1 hit paper
43 papers, 3.8k citations indexed

About

Eva Herker is a scholar working on Molecular Biology, Hepatology and Biochemistry. According to data from OpenAlex, Eva Herker has authored 43 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Hepatology and 12 papers in Biochemistry. Recurrent topics in Eva Herker's work include Hepatitis C virus research (13 papers), Lipid metabolism and biosynthesis (12 papers) and Endoplasmic Reticulum Stress and Disease (9 papers). Eva Herker is often cited by papers focused on Hepatitis C virus research (13 papers), Lipid metabolism and biosynthesis (12 papers) and Endoplasmic Reticulum Stress and Disease (9 papers). Eva Herker collaborates with scholars based in Germany, United States and Austria. Eva Herker's 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 and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Nature Communications.

In The Last Decade

Eva Herker

41 papers receiving 3.8k citations

Hit Papers

A Caspase-Related Protease Regulates Apoptosis in Yeast 2002 2026 2010 2018 2002 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eva Herker Germany 26 2.5k 796 586 542 514 43 3.8k
Shusuke Kuge Japan 28 2.4k 1.0× 358 0.4× 347 0.6× 174 0.3× 591 1.1× 64 3.5k
Janet Quinn United Kingdom 35 2.6k 1.0× 962 1.2× 298 0.5× 114 0.2× 811 1.6× 62 4.4k
Ling Lü China 38 2.0k 0.8× 1.7k 2.1× 372 0.6× 2.1k 3.9× 850 1.7× 201 5.8k
Peng Gong China 29 1.5k 0.6× 324 0.4× 202 0.3× 61 0.1× 297 0.6× 81 3.0k
Byung‐Ha Oh South Korea 28 1.6k 0.6× 317 0.4× 289 0.5× 94 0.2× 371 0.7× 40 2.9k
Junko S. Takeuchi Japan 23 1.2k 0.5× 485 0.6× 265 0.5× 133 0.2× 100 0.2× 85 2.1k
Silke Wissing Germany 16 2.6k 1.0× 464 0.6× 419 0.7× 22 0.0× 532 1.0× 24 3.2k
Mikio Arisawa Japan 42 3.5k 1.4× 984 1.2× 497 0.8× 98 0.2× 1.3k 2.5× 118 5.2k
Patrick J. Skelly United States 35 1.1k 0.4× 150 0.2× 70 0.1× 77 0.1× 103 0.2× 109 3.9k
Renu Tuteja India 39 3.6k 1.4× 281 0.4× 234 0.4× 34 0.1× 1.8k 3.6× 152 5.5k

Countries citing papers authored by Eva Herker

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Eva Herker

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Herker. A scholar is included among the top collaborators of Eva Herker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva Herker. Eva Herker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Schöbel, Anja, et al.. (2025). Dengue virus is particularly sensitive to interference with long-chain fatty acid elongation and desaturation. Journal of Biological Chemistry. 301(3). 108222–108222.
2.
Reis, Vinícius Pinho dos, et al.. (2024). 3D Spheroid and Organoid Models to Study Neuroinfection of RNA Viruses. Methods in molecular biology. 2824. 409–424.
3.
Schöbel, Anja, et al.. (2024). Inhibition of sterol O-acyltransferase 1 blocks Zika virus infection in cell lines and cerebral organoids. Communications Biology. 7(1). 1089–1089. 3 indexed citations
4.
Schöbel, Anja, et al.. (2021). Hepatitis C virus infection restricts human LINE-1 retrotransposition in hepatoma cells. PLoS Pathogens. 17(4). e1009496–e1009496. 13 indexed citations
5.
Herker, Eva, et al.. (2021). Ultrastructural Features of Membranous Replication Organelles Induced by Positive-Stranded RNA Viruses. Cells. 10(9). 2407–2407. 11 indexed citations
6.
Lunemann, Sebastian, Anja Schöbel, Janine Kah, et al.. (2018). Interactions Between KIR3DS1 and HLA-F Activate Natural Killer Cells to Control HCV Replication in Cell Culture. Gastroenterology. 155(5). 1366–1371.e3. 37 indexed citations
7.
Schöbel, Anja, et al.. (2018). Functional innate immunity restricts Hepatitis C Virus infection in induced pluripotent stem cell–derived hepatocytes. Scientific Reports. 8(1). 3893–3893. 15 indexed citations
8.
Kwiatkowski, Marcel, et al.. (2017). Lipid Droplet Isolation for Quantitative Mass Spectrometry Analysis. Journal of Visualized Experiments. 6 indexed citations
9.
Camus, Grégory, Martina Schweiger, Eva Herker, et al.. (2014). The Hepatitis C Virus Core Protein Inhibits Adipose Triglyceride Lipase (ATGL)-mediated Lipid Mobilization and Enhances the ATGL Interaction with Comparative Gene Identification 58 (CGI-58) and Lipid Droplets. Journal of Biological Chemistry. 289(52). 35770–35780. 30 indexed citations
10.
Camus, Grégory, Eva Herker, Brian Webster, et al.. (2013). Lipid Droplet-Binding Protein TIP47 Regulates Hepatitis C Virus RNA Replication through Interaction with the Viral NS5A Protein. PLoS Pathogens. 9(4). e1003302–e1003302. 95 indexed citations
11.
Herker, Eva & Mélanie Ott. (2011). Unique ties between hepatitis C virus replication and intracellular lipids. Trends in Endocrinology and Metabolism. 22(6). 241–248. 95 indexed citations
12.
Harris, Charles, Eva Herker, Robert V. Farese, & Mélanie Ott. (2011). Hepatitis C Virus Core Protein Decreases Lipid Droplet Turnover. Journal of Biological Chemistry. 286(49). 42615–42625. 69 indexed citations
13.
Herker, Eva, Charles Harris, Céline Hernandez, et al.. (2010). Efficient hepatitis C virus particle formation requires diacylglycerol acyltransferase-1. Nature Medicine. 16(11). 1295–1298. 270 indexed citations
14.
Kaehlcke, Katrin, et al.. (2009). Acetylation of cyclin T1 regulates the equilibrium between active and inactive P‐TEFb in cells. The EMBO Journal. 28(10). 1407–1417. 60 indexed citations
15.
Vahsen, Nicola, Céline Candé, P. Dupaigne, et al.. (2005). Physical interaction of apoptosis-inducing factor with DNA and RNA. Oncogene. 25(12). 1763–1774. 38 indexed citations
16.
Mazzoni, Cristina, Eva Herker, Vanessa Palermo, et al.. (2005). Yeast caspase 1 links messenger RNA stability to apoptosis in yeast. EMBO Reports. 6(11). 1076–1081. 82 indexed citations
17.
Madeo, Frank, et al.. (2004). Apoptosis in yeast. Current Opinion in Microbiology. 7(6). 655–660. 251 indexed citations
18.
Mazzoni, Cristina, Patrizia Mancini, Loredana Verdone, et al.. (2003). A Truncated Form of KlLsm4p and the Absence of Factors Involved in mRNA Decapping Trigger Apoptosis in Yeast. Molecular Biology of the Cell. 14(2). 721–729. 56 indexed citations
19.
Madeo, Frank, et al.. (2002). Apoptosis in yeast: a new model system with applications in cell biology and medicine. Current Genetics. 41(4). 208–216. 169 indexed citations
20.
Madeo, Frank, Eva Herker, Silke Wissing, et al.. (2002). A Caspase-Related Protease Regulates Apoptosis in Yeast. Molecular Cell. 9(4). 911–917. 729 indexed citations breakdown →

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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