Sylvia Panitz

898 citations
9 papers · 734 · 1 hit paper · h-index 5

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • interferon and immune responses
    • T-cell and B-cell Immunology

Papers in

    • HIV Research and Treatment 8
    • Cytomegalovirus and herpesvirus research 3
    • Herpesvirus Infections and Treatments 2

Sylvia Panitz

9 papers receiving 733 citations

Sylvia Panitz's Hit Papers

SAMHD1 restricts HIV-1 infection in resting CD4+ T cells 2012 · 460 citations
4600+4+9Years since publication100200300400

Peers

Sylvia Panitz
Comparison fields: 5 of 56
  • Virology 552
  • Immunology 394
  • Infectious Diseases 185
  • Epidemiology 240
  • Molecular Biology 212
Replace Elina Erikson with:
Elina Erikson Germany
Loïc Dragin France
Matthieu Bertrand France
Ina Ambiel Germany
Alexandra Cribier France
Manja Burggraf Germany
Eric C. Logue United States
Sonia Amraoui France
Bernd Laffert Germany
Robert C. Penhallow United States
Sylvia Panitz relative to Elina Erikson Germany Elina Erikson's profile →
Citations per field
00.5×1.5×
Elina Erikson · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Sylvia Panitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sylvia Panitz Line = papers co-authored together Sylvia Panitz links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
SAMHD1 restricts HIV-1 infection in resting CD4+ T cells
Hit paper breakdown →
2012460
2 2011209
3 200923
4 201521
5 201012
6 20173
7 20063
8 20102
9 20111

About Sylvia Panitz

Sylvia Panitz is a scholar working on Virology, Epidemiology, Genetics, Immunology and Molecular Biology, having authored 9 papers that have together received 734 indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), Virus-based gene therapy research (4 papers), Cytomegalovirus and herpesvirus research (3 papers), RNA Interference and Gene Delivery (3 papers), interferon and immune responses (2 papers), Herpesvirus Infections and Treatments (2 papers), Immune Cell Function and Interaction (2 papers) and Systemic Lupus Erythematosus Research (1 paper). The work is most often cited by research in Virology (552 citations), Immunology (394 citations), Infectious Diseases (185 citations), Epidemiology (240 citations) and Molecular Biology (212 citations). Sylvia Panitz has collaborated with scholars based in Germany, United States and South Korea. Frequent co-authors include Renate König, Egbert Flory, Frank Rutsch, Baek Kim, Thomas Gramberg, Kristína Schenková, Manja Burggraf, Nathaniel R. Landau, Elina Erikson and Ina Ambiel. Their work appears in journals such as Virology, Nature Medicine, PLoS Pathogens, PLoS ONE and Histochemistry and Cell Biology.

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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