Anita Schuch

679 total citations
10 papers, 484 citations indexed

About

Anita Schuch is a scholar working on Immunology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Anita Schuch has authored 10 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Epidemiology and 2 papers in Infectious Diseases. Recurrent topics in Anita Schuch's work include Immune Cell Function and Interaction (6 papers), Hepatitis B Virus Studies (4 papers) and T-cell and B-cell Immunology (3 papers). Anita Schuch is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Hepatitis B Virus Studies (4 papers) and T-cell and B-cell Immunology (3 papers). Anita Schuch collaborates with scholars based in Germany, United Kingdom and Sweden. Anita Schuch's co-authors include Robert Thimme, Maike Hofmann, Christoph Neumann‐Haefelin, Dominik Wieland, Florian Emmerich, Janine Kemming, Dietmar Zehn, Werner Held, Percy A. Knolle and Stephan Urban and has published in prestigious journals such as Nature Communications, Journal of Virology and Gut.

In The Last Decade

Anita Schuch

10 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anita Schuch Germany	9	269	257	205	80	79	10	484
Jasneet Aneja United States	9	243 0.9×	298 1.2×	338 1.6×	62 0.8×	49 0.6×	10	511
Nuray Aslan United States	12	269 1.0×	256 1.0×	200 1.0×	68 0.8×	73 0.9×	21	522
D. Tola Italy	3	485 1.8×	267 1.0×	302 1.5×	75 0.9×	153 1.9×	3	716
Martin Wächtler Germany	11	343 1.3×	480 1.9×	412 2.0×	87 1.1×	78 1.0×	15	718
Marianne Ruhl Germany	4	240 0.9×	146 0.6×	192 0.9×	28 0.3×	56 0.7×	5	371
Jan Grabowski Germany	10	199 0.7×	271 1.1×	381 1.9×	106 1.3×	37 0.5×	13	532
N Nazarova Germany	3	218 0.8×	191 0.7×	238 1.2×	36 0.5×	42 0.5×	3	418
Nadine Kersting Germany	9	358 1.3×	249 1.0×	364 1.8×	28 0.3×	89 1.1×	12	589
Rekha S. Binda Netherlands	11	419 1.6×	495 1.9×	328 1.6×	81 1.0×	51 0.6×	14	702
Claudia J. Dembek Germany	10	156 0.6×	235 0.9×	139 0.7×	75 0.9×	25 0.3×	12	349

Countries citing papers authored by Anita Schuch

Since Specialization

Citations

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

Fields of papers citing papers by Anita Schuch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anita Schuch

This figure shows the co-authorship network connecting the top 25 collaborators of Anita Schuch. A scholar is included among the top collaborators of Anita Schuch 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 Anita Schuch. Anita Schuch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Heim, Kathrin, Dominik Bettinger, Özlem Soğukpınar, et al.. (2021). Adaptive Subsets Limit the Anti-Tumoral NK-Cell Activity in Hepatocellular Carcinoma. Cells. 10(6). 1369–1369. 9 indexed citations

Schuch, Anita, Elahe Salimi Alizei, Kathrin Heim, et al.. (2019). Phenotypic and functional differences of HBV core-specific versus HBV polymerase-specific CD8+ T cells in chronically HBV-infected patients with low viral load. Gut. 68(5). 905–915. 118 indexed citations

Schuch, Anita, Margareta P. Correia, Tobias Boettler, et al.. (2018). NK-cell responses are biased towards CD16-mediated effector functions in chronic hepatitis B virus infection. Journal of Hepatology. 70(3). 351–360. 23 indexed citations

Provine, Nicholas M., Benedikt Binder, Michael Fitzpatrick, et al.. (2018). Unique and Common Features of Innate-Like Human Vδ2+ γδT Cells and Mucosal-Associated Invariant T Cells. Frontiers in Immunology. 9. 756–756. 45 indexed citations

Wieland, Dominik, Janine Kemming, Anita Schuch, et al.. (2017). TCF1+ hepatitis C virus-specific CD8+ T cells are maintained after cessation of chronic antigen stimulation. Nature Communications. 8(1). 15050–15050. 142 indexed citations

Heeg, Maximilian, Yi Ni, Anita Schuch, et al.. (2015). Hepatitis B Virus-Infected HepG2^hNTCPCells Serve as a Novel Immunological Tool To Analyze the Antiviral Efficacy of CD8⁺T CellsIn Vitro. Journal of Virology. 89(14). 7433–7438. 25 indexed citations

Schuch, Anita, et al.. (2014). The Role of Natural Killer Cells and CD8+ T Cells in Hepatitis B Virus Infection. Frontiers in Immunology. 5. 258–258. 76 indexed citations

Schuch, Anita, et al.. (2013). Regulation of Retroviral Polyadenylation. Advances in virus research. 85. 1–24. 10 indexed citations

Kožíšek, Milan, Klára Grantz Šašková, Graeme Brendon Jacobs, et al.. (2012). Mutations in HIV-1gagandpolCompensate for the Loss of Viral Fitness Caused by a Highly Mutated Protease. Antimicrobial Agents and Chemotherapy. 56(8). 4320–4330. 34 indexed citations

10.

Jacobs, Graeme Brendon, Stefanie Böck, Anita Schuch, et al.. (2012). Construction of a High Titer Infectious HIV-1 Subtype C Proviral Clone from South Africa. Viruses. 4(9). 1830–1843. 2 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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