Jutta Petschenka

677 total citations · 1 hit paper
9 papers, 459 citations indexed

About

Jutta Petschenka is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Jutta Petschenka has authored 9 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Jutta Petschenka's work include Immunotherapy and Immune Responses (6 papers), Immune Cell Function and Interaction (3 papers) and Immune Response and Inflammation (2 papers). Jutta Petschenka is often cited by papers focused on Immunotherapy and Immune Responses (6 papers), Immune Cell Function and Interaction (3 papers) and Immune Response and Inflammation (2 papers). Jutta Petschenka collaborates with scholars based in Germany, Austria and United Kingdom. Jutta Petschenka's co-authors include Özlem Türeci, Sebastian Kreiter, Uğur Şahin, Mustafa Diken, Nir Yogev, Lena M. Kranz, Ari Waisman, LAURA D. KOLB, Özlem Akilli‐Öztürk and Thomas Bukur and has published in prestigious journals such as Science, Molecular Therapy and Veterinary Microbiology.

In The Last Decade

Jutta Petschenka

9 papers receiving 451 citations

Hit Papers

align trajectories

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.

A noninflammatory mRNA vaccine for treatment of experimental autoimmune encephalomyelitis

2021 324 citations LAURA D. KOLB, Thomas Bukur et al. Science profile →

Peers

Jutta Petschenka

IMMUN

MB

ONCOL

GENET

ID

Yasmin Reyal United Kingdom

Xiangyun Yin China

Erin H. Plisch United States

Laura George United Kingdom

Kenneth P. Holbourn United Kingdom

Raquel Cabezón Spain

Katherine Cook United Kingdom

Lyse Santoro France

Derek C. Rookhuizen France

Yasmin Reyal United Kingdom

Jutta Petschenka

530 ×2.2

IMMUN

186 ×0.8

MB

82 ×1.0

ONCOL

47 ×0.7

GENET

23 ×0.4

ID

Citations per year, relative to Jutta Petschenka Jutta Petschenka (= 1×) peers Yasmin Reyal

Countries citing papers authored by Jutta Petschenka

Since Specialization

Citations

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

Fields of papers citing papers by Jutta Petschenka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jutta Petschenka

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

All Works

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9 of 9 papers shown

1.

Modak, Madhura, Wioletta Skrońska-Wąsek, Nicolas Sabarth, et al.. (2022). CD206+ tumor-associated macrophages cross-present tumor antigen and drive antitumor immunity. JCI Insight. 7(11). 62 indexed citations

2.

KOLB, LAURA D., Thomas Bukur, Özlem Akilli‐Öztürk, et al.. (2021). A noninflammatory mRNA vaccine for treatment of experimental autoimmune encephalomyelitis. Science. 371(6525). 145–153. 324 indexed citations breakdown →

3.

Salomon, Nadja, Abderaouf Selmi, Christian Grunwitz, et al.. (2021). Local radiotherapy and E7 RNA-LPX vaccination show enhanced therapeutic efficacy in preclinical models of HPV16+ cancer. Cancer Immunology Immunotherapy. 71(8). 1975–1988. 19 indexed citations

4.

Wemheuer, Wiebke M., Arne Wrede, Wilhelm Wemheuer, et al.. (2020). Unexpected high frequency of neurofibroma in the celiac ganglion of German cattle. Veterinary Research. 51(1). 82–82. 1 indexed citations

5.

Vascotto, Fulvia, Jutta Petschenka, Kerstin C. Walzer, et al.. (2019). Intravenous delivery of the toll-like receptor 7 agonist SC1 confers tumor control by inducing a CD8+ T cell response. OncoImmunology. 8(7). e1601480–e1601480. 21 indexed citations

6.

Echchannaoui, Hakim, Jutta Petschenka, Edite Antunes Ferreira, et al.. (2018). A Potent Tumor-Reactive p53-Specific Single-Chain TCR without On- or Off-Target Autoimmunity In Vivo. Molecular Therapy. 27(1). 261–271. 10 indexed citations

7.

Kreiter, Sebastian, Mustafa Diken, Abderraouf Selmi, et al.. (2016). FLT3 Ligand as a Molecular Adjuvant for Naked RNA Vaccines. Methods in molecular biology. 1428. 163–175. 12 indexed citations

8.

Kranz, Lena M., Matthias Birtel, Christian Grunwitz, et al.. (2015). CIMT 2015: The right patient for the right therapy - Report on the 13th annual meeting of the Association for Cancer Immunotherapy. Human Vaccines & Immunotherapeutics. 12(1). 213–221. 1 indexed citations

9.

Munster, P. van, Wilhelm Wemheuer, Jutta Petschenka, et al.. (2011). Detection of Mycobacterium avium ssp. paratuberculosis in ileocaecal lymph nodes collected from elderly slaughter cows using a semi-nested IS900 polymerase chain reaction. Veterinary Microbiology. 154(1-2). 197–201. 9 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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