Silvia Hahn

458 total citations
8 papers, 352 citations indexed

About

Silvia Hahn is a scholar working on Molecular Biology, Immunology and Plant Science. According to data from OpenAlex, Silvia Hahn has authored 8 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Immunology and 3 papers in Plant Science. Recurrent topics in Silvia Hahn's work include Chromosomal and Genetic Variations (3 papers), RNA Research and Splicing (3 papers) and CRISPR and Genetic Engineering (2 papers). Silvia Hahn is often cited by papers focused on Chromosomal and Genetic Variations (3 papers), RNA Research and Splicing (3 papers) and CRISPR and Genetic Engineering (2 papers). Silvia Hahn collaborates with scholars based in Germany, United States and Austria. Silvia Hahn's co-authors include Roswitha Löwer, Johannes Löwer, Gabriel Schlenstedt, Ulrike Held, Dirk Schadendorf, Christiane Tondera, Kay-Martin Hanschmann, Selma Ugurel, Muhsin Özel and Reinhard Kurth and has published in prestigious journals such as Nucleic Acids Research, Journal of Molecular Biology and Biochemistry.

In The Last Decade

Silvia Hahn

8 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Silvia Hahn Germany	8	293	222	39	34	31	8	352
Nancy L. Goodchild Canada	8	319 1.1×	291 1.3×	66 1.7×	46 1.4×	10 0.3×	8	392
Andreas Hoffmann Germany	3	165 0.6×	158 0.7×	28 0.7×	31 0.9×	5 0.2×	3	219
Christiane Tondera Germany	5	135 0.5×	106 0.5×	18 0.5×	44 1.3×	11 0.4×	7	192
Alison E. Kenny United States	11	411 1.4×	201 0.9×	40 1.0×	29 0.9×	7 0.2×	11	499
James A. Dutko United States	7	259 0.9×	99 0.4×	18 0.5×	30 0.9×	7 0.2×	7	338
Sophia Groh Germany	4	251 0.9×	74 0.3×	48 1.2×	32 0.9×	7 0.2×	4	279
Raymond A. Poot Netherlands	8	401 1.4×	89 0.4×	71 1.8×	16 0.5×	5 0.2×	11	437
Diane A. Flasch United States	8	288 1.0×	138 0.6×	79 2.0×	21 0.6×	9 0.3×	11	393
Ann M. Kleinschmidt United States	9	355 1.2×	195 0.9×	21 0.5×	11 0.3×	6 0.2×	12	433
Michelle Wu United States	5	550 1.9×	157 0.7×	38 1.0×	10 0.3×	9 0.3×	10	594

Countries citing papers authored by Silvia Hahn

Since Specialization

Citations

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

Fields of papers citing papers by Silvia Hahn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Hahn

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Hahn. A scholar is included among the top collaborators of Silvia Hahn 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 Silvia Hahn. Silvia Hahn 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.

Hahn, Silvia & Gabriel Schlenstedt. (2011). Importin β-type nuclear transport receptors have distinct binding affinities for Ran–GTP. Biochemical and Biophysical Research Communications. 406(3). 383–388. 21 indexed citations

2.

Hahn, Silvia, Selma Ugurel, Kay-Martin Hanschmann, et al.. (2008). Serological Response to Human Endogenous Retrovirus K in Melanoma Patients Correlates with Survival Probability. AIDS Research and Human Retroviruses. 24(5). 717–723. 81 indexed citations

3.

Hahn, Silvia, Patrick Maurer, Stefanie Caesar, & Gabriel Schlenstedt. (2008). Classical NLS Proteins from Saccharomyces cerevisiae. Journal of Molecular Biology. 379(4). 678–694. 27 indexed citations

4.

Tolstonog, Genrich V., Annette Damert, Ulrike Held, et al.. (2007). Functional endogenous LINE-1 retrotransposons are expressed and mobilized in rat chloroleukemia cells. Nucleic Acids Research. 36(2). 648–665. 41 indexed citations

5.

Büscher, Kristina, Silvia Hahn, Maja A. Hofmann, et al.. (2006). Expression of the human endogenous retrovirus-K transmembrane envelope, Rec and Np9 proteins in melanomas and melanoma cell lines. Melanoma Research. 16(3). 223–234. 92 indexed citations

6.

Grassauer, Andreas, Martin Kurz, Julia Valencak, et al.. (2006). Identification of a Melanoma Marker Derived from Melanoma-Associated Endogenous Retroviruses. Cancer Research. 66(3). 1658–1663. 35 indexed citations

7.

Hahn, Silvia, et al.. (2001). Rec (Formerly Corf) Function Requires Interaction with a Complex, Folded RNA Structure within Its Responsive Element rather than Binding to a Discrete Specific Binding Site. Journal of Virology. 75(21). 10359–10371. 44 indexed citations

8.

Chelius, Dirk, Sidney Fleischer, J. Oliver McIntyre, et al.. (2000). Phosphatidylcholine Activation of Human Heart (R)-3-Hydroxybutyrate Dehydrogenase Mutants Lacking Active Center Sulfhydryls: Site-Directed Mutagenesis of a New Recombinant Fusion Protein. Biochemistry. 39(32). 9687–9697. 11 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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