Martin U. Ried

2.0k total citations · 1 hit paper
8 papers, 1.6k citations indexed

About

Martin U. Ried is a scholar working on Molecular Biology, Genetics and Animal Science and Zoology. According to data from OpenAlex, Martin U. Ried has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Animal Science and Zoology. Recurrent topics in Martin U. Ried's work include Virus-based gene therapy research (6 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and CAR-T cell therapy research (2 papers). Martin U. Ried is often cited by papers focused on Virus-based gene therapy research (6 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and CAR-T cell therapy research (2 papers). Martin U. Ried collaborates with scholars based in Germany, Switzerland and Canada. Martin U. Ried's co-authors include Michael Hallek, Hildegard Büning, Anne Girod, Christoph Bräuchle, Kristin Leike, Christiane E. Wobus, Jürgen A. Kleinschmidt, Gilbert Deléage, Harald Lahm and Zoltán Zádori and has published in prestigious journals such as Science, Nature Medicine and Journal of Virology.

In The Last Decade

Martin U. Ried

8 papers receiving 1.5k citations

Hit Papers

Real-Time Single-Molecule Imaging of the Infection Pathwa... 2001 2026 2009 2017 2001 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
Martin U. Ried Germany 7 1.0k 941 190 151 149 8 1.6k
Alicia E. Smith Switzerland 9 1.2k 1.2× 267 0.3× 235 1.2× 56 0.4× 103 0.7× 10 1.9k
Matthew L. Hirsch United States 28 1.5k 1.5× 1.3k 1.4× 156 0.8× 161 1.1× 48 0.3× 84 2.4k
James Pulokas United States 15 1.5k 1.4× 219 0.2× 244 1.3× 115 0.8× 103 0.7× 16 2.6k
Maija Vihinen‐Ranta Finland 23 815 0.8× 801 0.9× 518 2.7× 88 0.6× 43 0.3× 55 1.6k
Neil Voss United States 16 1.9k 1.8× 252 0.3× 236 1.2× 92 0.6× 50 0.3× 24 2.7k
Joachim Frank United States 13 2.0k 1.9× 421 0.4× 132 0.7× 151 1.0× 70 0.5× 19 2.8k
Liwei Peng China 11 1.5k 1.5× 295 0.3× 230 1.2× 116 0.8× 72 0.5× 43 2.6k
Alexander M. Makhov United States 34 1.5k 1.5× 462 0.5× 343 1.8× 296 2.0× 63 0.4× 75 2.9k
Tanvir R. Shaikh United States 18 1.5k 1.5× 437 0.5× 104 0.5× 104 0.7× 62 0.4× 25 2.2k
D. Fellmann United States 10 1.2k 1.2× 182 0.2× 211 1.1× 96 0.6× 74 0.5× 20 2.2k

Countries citing papers authored by Martin U. Ried

Since Specialization
Citations

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

Fields of papers citing papers by Martin U. Ried

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin U. Ried. 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 Martin U. Ried. The network helps show where Martin U. Ried may publish in the future.

Co-authorship network of co-authors of Martin U. Ried

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

All Works

8 of 8 papers shown
1.
Perabò, Luca, Hildegard Büning, David M. Kofler, et al.. (2003). In vitro selection of viral vectors with modified tropism: the adeno-associated virus display. Molecular Therapy. 8(1). 151–157. 172 indexed citations
2.
Bräuchle, Christoph, et al.. (2002). Single Virus Tracing: Visualization of the Infection Pathway of a Virus into a Living Cell. ChemPhysChem. 3(3). 299–299. 42 indexed citations
3.
Ried, Martin U., Anne Girod, Kristin Leike, Hildegard Büning, & Michael Hallek. (2002). Adeno-Associated Virus Capsids Displaying Immunoglobulin-Binding Domains Permit Antibody-Mediated Vector Retargeting to Specific Cell Surface Receptors. Journal of Virology. 76(9). 4559–4566. 101 indexed citations
4.
Girod, Anne, Christiane E. Wobus, Zoltán Zádori, et al.. (2002). The VP1 capsid protein of adeno-associated virus type 2 is carrying a phospholipase A2 domain required for virus infectivity. Journal of General Virology. 83(5). 973–978. 267 indexed citations
5.
Ried, Martin U., et al.. (2001). Real-Time Single-Molecule Imaging of the Infection Pathway of an Adeno-Associated Virus. Science. 294(5548). 1929–1932. 652 indexed citations breakdown →
6.
Girod, Anne, Martin U. Ried, Christiane E. Wobus, et al.. (1999). Genetic capsid modifications allow efficient re-targeting of adeno-associated virus type 2. Nature Medicine. 5(9). 1052–1056. 320 indexed citations
7.
Girod, Anne, Martin U. Ried, Gilbert Deléage, & Michael Hallek. (1999). Efficient retargeting of adeno-associated virus type 2 by genetic modification of the viral capsid protein. 1. 61215. 3 indexed citations
8.
Schleifer, Karl Heinz, Martin U. Ried, & O. Kandler. (1968). Die Aminos�uresequenz des Mureins von Staphylococcus epidermidis (Winslow and Winslow) Evans, Stamm 66. Archives of Microbiology. 62(2). 198–208. 8 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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