Sylvia Panitz

898 total citations · 1 hit paper
9 papers, 734 citations indexed

About

Sylvia Panitz is a scholar working on Virology, Epidemiology and Genetics. According to data from OpenAlex, Sylvia Panitz has authored 9 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Virology, 4 papers in Epidemiology and 4 papers in Genetics. Recurrent topics in Sylvia Panitz's work include HIV Research and Treatment (8 papers), Virus-based gene therapy research (4 papers) and RNA Interference and Gene Delivery (3 papers). Sylvia Panitz is often cited by papers focused on HIV Research and Treatment (8 papers), Virus-based gene therapy research (4 papers) and RNA Interference and Gene Delivery (3 papers). Sylvia Panitz collaborates with scholars based in Germany, United States and Austria. Sylvia Panitz's co-authors include Renate König, Frank Rutsch, Egbert Flory, Oliver T. Keppler, Kristína Schenková, Thomas Gramberg, Waaqo Daddacha, Serkan Sertel, Baek Kim and O. Fackler and has published in prestigious journals such as Nature Medicine, PLoS ONE and PLoS Pathogens.

In The Last Decade

Sylvia Panitz

9 papers receiving 733 citations

Hit Papers

SAMHD1 restricts HIV-1 infection in resting CD4+ T cells 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sylvia Panitz Germany 5 552 394 240 212 185 9 734
Loïc Dragin France 5 519 0.9× 391 1.0× 196 0.8× 247 1.2× 207 1.1× 6 746
Matthieu Bertrand France 5 469 0.8× 372 0.9× 224 0.9× 265 1.3× 195 1.1× 6 762
Elina Erikson Germany 8 556 1.0× 537 1.4× 234 1.0× 278 1.3× 194 1.0× 10 898
Alexandra Cribier France 9 547 1.0× 465 1.2× 268 1.1× 364 1.7× 239 1.3× 9 938
Ina Ambiel Germany 9 514 0.9× 373 0.9× 214 0.9× 284 1.3× 210 1.1× 12 789
Manja Burggraf Germany 8 380 0.7× 306 0.8× 158 0.7× 171 0.8× 137 0.7× 8 637
Eric C. Logue United States 10 658 1.2× 497 1.3× 286 1.2× 406 1.9× 279 1.5× 10 1.1k
Françoise Gondois‐Rey France 14 423 0.8× 466 1.2× 146 0.6× 188 0.9× 277 1.5× 29 848
C A Bohan United States 13 464 0.8× 315 0.8× 174 0.7× 257 1.2× 180 1.0× 14 762
Lars Erdtmann France 8 504 0.9× 337 0.9× 313 1.3× 191 0.9× 223 1.2× 8 881

Countries citing papers authored by Sylvia Panitz

Since Specialization
Citations

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

Fields of papers citing papers by Sylvia Panitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvia Panitz

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

All Works

9 of 9 papers shown
1.
Hlavatý, Juraj, Zbyněk Tonar, Matthias Renner, et al.. (2017). Tropism, intracerebral distribution, and transduction efficiency of HIV- and SIV-based lentiviral vectors after injection into the mouse brain: a qualitative and quantitative in vivo study. Histochemistry and Cell Biology. 148(3). 313–329. 3 indexed citations
2.
Vasudevan, Ananda Ayyappan Jaguva, Mirjam Schilling, Juliane Reh, et al.. (2015). Interferon but not MxB inhibits foamy retroviruses. Virology. 488. 51–60. 21 indexed citations
3.
Pan, Xiaoyu, Elina Erikson, Sarah Schmidt, et al.. (2012). SAMHD1 restricts HIV-1 infection in resting CD4+ T cells. Nature Medicine. 18(11). 1682–1688. 460 indexed citations breakdown →
4.
Berger, André, Andreas Sommer, Matthias Hamdorf, et al.. (2011). SAMHD1-Deficient CD14+ Cells from Individuals with Aicardi-Goutières Syndrome Are Highly Susceptible to HIV-1 Infection. PLoS Pathogens. 7(12). e1002425–e1002425. 209 indexed citations
5.
Tschulena, Ulrich, Ralf Sanzenbacher, Michael D. Mühlebach, et al.. (2011). Mutation of a diacidic motif in SIV-PBj Nef impairs T-cell activation and enteropathic disease. Retrovirology. 8(1). 14–14. 1 indexed citations
6.
Perković, Mario, Stephen Norley, Ralf Sanzenbacher, et al.. (2010). SIVagm containing the SHIV89.6P Envelope gene replicates poorly and is non-pathogenic. Virology. 399(1). 87–97. 2 indexed citations
7.
Grabski, Elena, Zoe Waibler, Silke Schüle, et al.. (2010). Comparative Analysis of Transduced Primary Human Dendritic Cells Generated by the Use of Three Different Lentiviral Vector Systems. Molecular Biotechnology. 47(3). 262–269. 12 indexed citations
8.
Schüle, Silke, Björn‐Philipp Kloke, Sylvia Panitz, et al.. (2009). Restriction of HIV-1 Replication in Monocytes Is Abolished by Vpx of SIVsmmPBj. PLoS ONE. 4(9). e7098–e7098. 23 indexed citations
9.
Schüle, Silke, Sylvia Panitz, Cheick Coulibaly, et al.. (2006). Selective gene transfer to T lymphocytes using coreceptor-specific [MLV(HIV)] pseudotype vectors in a transgenic mouse model. Virology. 351(1). 237–247. 3 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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