Manuel Hayn

1.5k total citations · 1 hit paper
8 papers, 598 citations indexed

About

Manuel Hayn is a scholar working on Molecular Biology, Virology and Immunology. According to data from OpenAlex, Manuel Hayn has authored 8 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Virology and 3 papers in Immunology. Recurrent topics in Manuel Hayn's work include HIV Research and Treatment (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Manuel Hayn is often cited by papers focused on HIV Research and Treatment (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Manuel Hayn collaborates with scholars based in Germany, Switzerland and Netherlands. Manuel Hayn's co-authors include Frank Kirchhoff, Lennart Koepke, Konstantin M. J. Sparrer, Maximilian Hirschenberger, Thomas Becker, Christina M. Stürzel, Michael Ameismeier, Robert Buschauer, Matthias Thoms and Timur Mackens‐Kiani and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Advanced Functional Materials.

In The Last Decade

Manuel Hayn

8 papers receiving 592 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Structural basis for translational shutdown and immune evasion by the Nsp1 protein of SARS-CoV-2

2020 549 citations Matthias Thoms, Robert Buschauer et al. Science profile →

Peers

Manuel Hayn

ID

MB

IMMUN

CCM

NEURO

Maximilian Hirschenberger Germany

Timo Denk Germany

Timur Mackens‐Kiani Germany

Michael Ameismeier Germany

Orel Mizrahi Israel

Khadija Shahed Khan Hong Kong

Katharina Schubert Switzerland

Yue Ma‐Lauer Germany

Qingfeng Meng China

Ruiyi Ma China

Maximilian Hirschenberger Germany

Manuel Hayn

439 ×1.1

ID

229 ×1.0

MB

147 ×1.1

IMMUN

72 ×1.0

CCM

77 ×1.2

NEURO

Citations per year, relative to Manuel Hayn Manuel Hayn (= 1×) peers Maximilian Hirschenberger

Countries citing papers authored by Manuel Hayn

Since Specialization

Citations

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

Fields of papers citing papers by Manuel Hayn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Hayn

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

All Works

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8 of 8 papers shown

1.

Hayn, Manuel, et al.. (2024). Hybrid Materials From Peptide Nanofibrils and Magnetic Beads to Concentrate and Isolate Virus Particles. Advanced Functional Materials. 34(27). 3 indexed citations

2.

Harms, Mirja, Manuel Hayn, Fabian Zech, Frank Kirchhoff, & Jan Münch. (2022). Endogenous Peptide Inhibitors of HIV Entry. Advances in experimental medicine and biology. 1366. 65–85. 1 indexed citations

3.

Hayn, Manuel, Armando Rodríguez, Solange Vidal, et al.. (2021). Natural cystatin C fragments inhibit GPR15-mediated HIV and SIV infection without interfering with GPR15L signaling. Proceedings of the National Academy of Sciences. 118(3). 12 indexed citations

4.

Hirschenberger, Maximilian, et al.. (2021). Luciferase reporter assays to monitor interferon signaling modulation by SARS-CoV-2 proteins. STAR Protocols. 2(4). 100781–100781. 6 indexed citations

5.

Mack, Thomas M., Manuel Hayn, Desirée Schütz, et al.. (2021). Supramolecular Peptide Nanofibrils with Optimized Sequences and Molecular Structures for Efficient Retroviral Transduction. Advanced Functional Materials. 31(17). 16 indexed citations

6.

Thoms, Matthias, Robert Buschauer, Michael Ameismeier, et al.. (2020). Structural basis for translational shutdown and immune evasion by the Nsp1 protein of SARS-CoV-2. Science. 369(6508). 1249–1255. 549 indexed citations breakdown →

7.

Hayn, Manuel, Annika Röcker, Markus Lamla, et al.. (2017). Generation and Characterization of Virus-Enhancing Peptide Nanofibrils Functionalized with Fluorescent Labels. Bioconjugate Chemistry. 28(4). 1260–1270. 7 indexed citations

8.

Page, Sharon, Cornelius Fischer, Bastian Baumgartner, et al.. (1999). 4-Hydroxynonenal prevents NF-κB activation and TNF expression by inhibiting IκB phosphorylation and subsequent proteolysis. Atherosclerosis. 144. 10–10. 4 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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