Anke Kraft

1.8k total citations
54 papers, 1.1k citations indexed

About

Anke Kraft is a scholar working on Epidemiology, Hepatology and Immunology. According to data from OpenAlex, Anke Kraft has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Epidemiology, 31 papers in Hepatology and 30 papers in Immunology. Recurrent topics in Anke Kraft's work include Immune Cell Function and Interaction (24 papers), Hepatitis C virus research (22 papers) and Hepatitis B Virus Studies (16 papers). Anke Kraft is often cited by papers focused on Immune Cell Function and Interaction (24 papers), Hepatitis C virus research (22 papers) and Hepatitis B Virus Studies (16 papers). Anke Kraft collaborates with scholars based in Germany, United States and Sweden. Anke Kraft's co-authors include Markus Cornberg, Heiner Wedemeyer, Ulf Dittmer, Michael P. Manns, Gennadiy Zelinskyy, Liisa K. Selin, Benjamin Maasoumy, Christoph Höner zu Siederdissen, Tanja Arndt and Simone Schimmer and has published in prestigious journals such as Blood, Nature Immunology and The Journal of Immunology.

In The Last Decade

Anke Kraft

52 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anke Kraft Germany 20 604 527 515 143 88 54 1.1k
Verena Schlaphoff Germany 21 716 1.2× 898 1.7× 487 0.9× 178 1.2× 75 0.9× 36 1.3k
Sebastian Lunemann Germany 19 313 0.5× 288 0.5× 636 1.2× 106 0.7× 78 0.9× 33 919
Susan Smyk‐Pearson United States 8 336 0.6× 258 0.5× 733 1.4× 132 0.9× 64 0.7× 8 994
Lisa Townshend‐Bulson United States 10 404 0.7× 387 0.7× 349 0.7× 76 0.5× 120 1.4× 16 765
Karolin Falconer Sweden 14 348 0.6× 355 0.7× 328 0.6× 169 1.2× 44 0.5× 26 771
Zwier M. A. Groothuismink Netherlands 17 439 0.7× 326 0.6× 343 0.7× 65 0.5× 58 0.7× 40 836
Liam J. Fanning Ireland 20 564 0.9× 684 1.3× 290 0.6× 108 0.8× 64 0.7× 57 1.1k
Deborah Casson United States 9 454 0.8× 638 1.2× 467 0.9× 83 0.6× 43 0.5× 10 1.0k
Stephen Livingston United States 13 860 1.4× 857 1.6× 344 0.7× 51 0.4× 129 1.5× 18 1.2k
D. Tola Italy 3 267 0.4× 302 0.6× 485 0.9× 75 0.5× 153 1.7× 3 716

Countries citing papers authored by Anke Kraft

Since Specialization
Citations

This map shows the geographic impact of Anke Kraft'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 Anke Kraft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anke Kraft more than expected).

Fields of papers citing papers by Anke Kraft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anke Kraft. 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 Anke Kraft. The network helps show where Anke Kraft may publish in the future.

Co-authorship network of co-authors of Anke Kraft

This figure shows the co-authorship network connecting the top 25 collaborators of Anke Kraft. A scholar is included among the top collaborators of Anke Kraft 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 Anke Kraft. Anke Kraft 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.
Geanon, Daniel, Marija Janković, Christopher Maucourant, et al.. (2025). Origin of Hypofunctional CD103 + NK Cells in Cirrhosis‐Associated Ascites. European Journal of Immunology. 55(6). e51311–e51311. 1 indexed citations
2.
Maasoumy, Benjamin, et al.. (2025). T cell dysregulation reflects disease stage in hepatitis virus and alcohol-related liver disease. Scientific Reports. 15(1). 34108–34108. 1 indexed citations
3.
Gupta, Manoj Kumar, Birgit Bremer, Katja Deterding, et al.. (2024). Enhancing HBV-specific T cell responses through a combination of epigenetic modulation and immune checkpoint inhibition. Hepatology. 82(3). 739–754. 1 indexed citations
4.
Heim, Kathrin, Sagar Sagar, Özlem Soğukpınar, et al.. (2024). Attenuated effector T cells are linked to control of chronic HBV infection. Nature Immunology. 25(9). 1650–1662. 24 indexed citations
5.
Klein, Sebastian, Benedikt Strunz, Benjamin Maasoumy, et al.. (2024). CXCR6+CD69+ CD8+ T cells in ascites are associated with disease severity in patients with cirrhosis. JHEP Reports. 6(6). 101074–101074. 8 indexed citations
6.
Kumar, Saumya, Nora Drick, Jan Fuge, et al.. (2024). Different dynamics of soluble inflammatory mediators after clearance of respiratory SARS-CoV-2 versus blood-borne hepatitis C virus infections. Scientific Reports. 14(1). 29013–29013. 1 indexed citations
7.
Strunz, Benedikt, Anke Kraft, Markus Cornberg, et al.. (2024). Impending HCC diagnosis in patients with cirrhosis after HCV cure features a natural killer cell signature. Hepatology. 80(1). 202–222. 7 indexed citations
8.
9.
Kraft, Anke, Frank Klawonn, Marco van Ham, et al.. (2023). Proteomics reveals a global phenotypic shift of NK cells in HCV patients treated with direct‐acting antivirals. European Journal of Immunology. 53(11). e2250291–e2250291. 2 indexed citations
10.
11.
Liu, Zhaoli, Jennifer Debarry, Benjamin Maasoumy, et al.. (2022). Reverse inflammaging: Long-term effects of HCV cure on biological age. Journal of Hepatology. 78(1). 90–98. 22 indexed citations
12.
Tergast, Tammo Lambert, Anke Kraft, Patrick Behrendt, et al.. (2022). Metamizole-associated risks in decompensated hepatic cirrhosis. Deutsches Ärzteblatt international. 119(41). 687–693. 2 indexed citations
13.
Maasoumy, Benjamin, Birgit Bremer, Martin Graßhoff, et al.. (2021). Impact of HBsAg and HBcrAg levels on phenotype and function of HBV-specific T cells in patients with chronic hepatitis B virus infection. Gut. 71(11). 2300–2312. 59 indexed citations
14.
Heim, Kathrin, Benedikt Binder, Sagar Sagar, et al.. (2020). TOX defines the degree of CD8+ T cell dysfunction in distinct phases of chronic HBV infection. Gut. 70(8). 1550–1560. 55 indexed citations
15.
Wiegand, Steffen B., Anika Wranke, Jerzy Jaroszewicz, et al.. (2019). Soluble immune markers in the different phases of chronic hepatitis B virus infection. Scientific Reports. 9(1). 14118–14118. 23 indexed citations
16.
Mallet, Vincent, Julie Bruneau, Julien Zuber, et al.. (2017). Hepatitis E virus-induced primary cutaneous CD30(+) T cell lymphoproliferative disorder. Journal of Hepatology. 67(6). 1334–1339. 25 indexed citations
17.
Zhang, Xiaoyong, Anke Kraft, Ruth Broering, et al.. (2012). Preclinical development of TLR ligands as drugs for the treatment of chronic viral infections. Expert Opinion on Drug Discovery. 7(7). 597–611. 32 indexed citations
18.
Selin, Liisa K., et al.. (2011). Heterologous immunity: Immunopathology, autoimmunity and protection during viral infections. Autoimmunity. 44(4). 328–347. 50 indexed citations
19.
Kraft, Anke, et al.. (2009). Protection or immunopathology upon heterologous virus infection: A decision of memory cells (43.15). The Journal of Immunology. 182(Supplement_1). 43.15–43.15. 2 indexed citations
20.
Dittmer, Ulf, Tanja Werner, & Anke Kraft. (2008). Co-Immunization of Mice with a Retroviral DNA Vaccine and GITRL-Encoding Plasmid Augments Vaccine-Induced Protection Against Retrovirus Infection. Viral Immunology. 21(4). 459–468. 17 indexed citations

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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