Franziska Ruchti

2.1k total citations · 1 hit paper
5 papers, 1.7k citations indexed

About

Franziska Ruchti is a scholar working on Epidemiology, Virology and Oncology. According to data from OpenAlex, Franziska Ruchti has authored 5 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 2 papers in Virology and 2 papers in Oncology. Recurrent topics in Franziska Ruchti's work include Cytomegalovirus and herpesvirus research (5 papers), Herpesvirus Infections and Treatments (3 papers) and HIV Research and Treatment (2 papers). Franziska Ruchti is often cited by papers focused on Cytomegalovirus and herpesvirus research (5 papers), Herpesvirus Infections and Treatments (3 papers) and HIV Research and Treatment (2 papers). Franziska Ruchti collaborates with scholars based in United States, Canada and Germany. Franziska Ruchti's co-authors include Jay A. Nelson, Kenneth H. Grabstein, Nancy Hosken, Florian Kern, Paul R. Sleath, Louis J. Picker, Andrew Sylwester, John B. Edgar, Daniel N. Streblow and Patricia Smith and has published in prestigious journals such as Cell, The Journal of Experimental Medicine and Journal of Virology.

In The Last Decade

Franziska Ruchti

5 papers receiving 1.6k citations

Hit Papers

Broadly targeted human cy... 2005 2026 2012 2019 2005 250 500 750 1000
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.

  1. Broadly targeted human cytomegalovirus-specific CD4 + and CD8 + T cells dominate the memory compartments of exposed subjects
    2005 1.0k citations Andrew Sylwester, John B. Edgar et al. The Journal of Experimental Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Franziska Ruchti United States 5 1.4k 654 245 207 176 5 1.7k
Jean Taylor‐Wiedeman United Kingdom 11 1.1k 0.8× 568 0.9× 110 0.4× 305 1.5× 93 0.5× 14 1.4k
Tania Crough Australia 15 1.2k 0.8× 638 1.0× 374 1.5× 157 0.8× 129 0.7× 19 1.5k
C. A. Bruggeman Netherlands 21 1.3k 0.9× 780 1.2× 153 0.6× 174 0.8× 150 0.9× 68 1.8k
Aycan F. Hassan‐Walker United Kingdom 16 1.6k 1.1× 278 0.4× 311 1.3× 342 1.7× 125 0.7× 20 1.7k
Niels A. W. Lemmermann Germany 26 1.1k 0.8× 942 1.4× 132 0.5× 225 1.1× 190 1.1× 75 1.6k
Valentina Dell’Oste Italy 22 690 0.5× 633 1.0× 196 0.8× 98 0.5× 402 2.3× 49 1.3k
Selmir Avdic Australia 19 760 0.5× 515 0.8× 168 0.7× 149 0.7× 158 0.9× 34 1.1k
Kerstin Laib Sampaio Germany 18 1.0k 0.7× 455 0.7× 131 0.5× 303 1.5× 154 0.9× 37 1.2k
Craig N. Kreklywich United States 21 830 0.6× 360 0.6× 93 0.4× 189 0.9× 146 0.8× 40 1.2k
Jeffrey I. Cohen United States 11 399 0.3× 682 1.0× 249 1.0× 71 0.3× 114 0.6× 12 1.2k

Countries citing papers authored by Franziska Ruchti

Since Specialization
Citations

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

Fields of papers citing papers by Franziska Ruchti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franziska Ruchti

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

All Works

5 of 5 papers shown
1.
Sylwester, Andrew, John B. Edgar, Franziska Ruchti, et al.. (2005). Broadly targeted human cytomegalovirus-specific CD4 + and CD8 + T cells dominate the memory compartments of exposed subjects. The Journal of Experimental Medicine. 202(5). 673–685. 1040 indexed citations breakdown →
2.
Melnychuk, Ryan, Craig N. Kreklywich, Franziska Ruchti, et al.. (2005). Mouse Cytomegalovirus M33 Is Necessary and Sufficient in Virus-Induced Vascular Smooth Muscle Cell Migration. Journal of Virology. 79(16). 10788–10795. 37 indexed citations
3.
García‐Ramírez, José Javier, Franziska Ruchti, Huang Huang, et al.. (2001). Dominance of Virus over Host Factors in Cross-Species Activation of Human Cytomegalovirus Early Gene Expression. Journal of Virology. 75(1). 26–35. 14 indexed citations
4.
Streblow, Daniel N., Cecilia Söderberg‐Nauclér, Jeffrey Vieira, et al.. (1999). The Human Cytomegalovirus Chemokine Receptor US28 Mediates Vascular Smooth Muscle Cell Migration. Cell. 99(5). 511–520. 330 indexed citations
5.
Jault, Jean‐Michel, Franziska Ruchti, Elizabeth A. Fortunato, et al.. (1995). Cytomegalovirus infection induces high levels of cyclins, phosphorylated Rb, and p53, leading to cell cycle arrest. Journal of Virology. 69(11). 6697–6704. 246 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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2026