Petra Hoehn

981 total citations
11 papers, 871 citations indexed

About

Petra Hoehn is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Petra Hoehn has authored 11 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Petra Hoehn's work include T-cell and B-cell Immunology (10 papers), Immunotherapy and Immune Responses (8 papers) and Immune Cell Function and Interaction (7 papers). Petra Hoehn is often cited by papers focused on T-cell and B-cell Immunology (10 papers), Immunotherapy and Immune Responses (8 papers) and Immune Cell Function and Interaction (7 papers). Petra Hoehn collaborates with scholars based in Germany, Canada and Hungary. Petra Hoehn's co-authors include Tieno Germann, Edgar Schmitt, Erwin Rüde, Norbert Palm, Sigrid Goedert, Stephan Koelsch, Werner Müller, Ralf Kühn, Saadia Kerdine‐Römer and Karen Lingnau and has published in prestigious journals such as The Journal of Immunology, European Journal of Immunology and International Immunology.

In The Last Decade

Petra Hoehn

11 papers receiving 847 citations

Peers

Petra Hoehn

IMMUN

ONCOL

PHYSI

EPIDE

Norbert Palm Germany

Sigrid Goedert Germany

George Thyphronitis United States

Theresa Pasqualini United States

L Bersani Italy

C Paganin Italy

Yumiko Kamogawa Japan

Orly Abehsira-Amar France

Roberto Maldonado-López Belgium

D T McKenzie United States

Norbert Palm Germany

Petra Hoehn

529 ×0.8

IMMUN

131 ×0.9

ONCOL

95 ×0.8

102 ×0.9

PHYSI

82 ×0.8

EPIDE

Citations per year, relative to Petra Hoehn Petra Hoehn (= 1×) peers Norbert Palm

Countries citing papers authored by Petra Hoehn

Since Specialization

Citations

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

Fields of papers citing papers by Petra Hoehn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petra Hoehn

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

All Works

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11 of 11 papers shown

Hoehn, Petra, et al.. (2009). Identification of Human MHC Class I Binding Peptides using the iTOPIA™− Epitope Discovery System. Methods in molecular biology. 524. 361–367. 19 indexed citations

Hoehn, Petra, et al.. (2009). Identification and Validation of T-Cell Epitopes Using the IFN-γ EliSpot Assay. Methods in molecular biology. 524. 439–446. 9 indexed citations

Lingnau, Karen, Petra Hoehn, Saadia Kerdine‐Römer, et al.. (1998). IL-4 in combination with TGF-beta favors an alternative pathway of Th1 development independent of IL-12.. PubMed. 161(9). 4709–18. 48 indexed citations

Lingnau, Karen, Petra Hoehn, Saadia Kerdine‐Römer, et al.. (1998). IL-4 in Combination with TGF-β Favors an Alternative Pathway of Th1 Development Independent of IL-12. The Journal of Immunology. 161(9). 4709–4718. 42 indexed citations

Palm, Norbert, Tieno Germann, Sigrid Goedert, et al.. (1997). Co-development of naive CD4+ cells towards T helper Type 1 or T helper type 2 cells induced by a combination of IL.-12 and IL-4. Immunobiology. 196(5). 475–484. 12 indexed citations

Goedert, Sigrid, Tieno Germann, Petra Hoehn, et al.. (1996). Th1 development of naive CD4+ T cells is inhibited by co-activation with anti-CD4 monoclonal antibodies. The Journal of Immunology. 157(2). 566–573. 8 indexed citations

Germann, Tieno, Sigrid Goedert, Petra Hoehn, et al.. (1995). Co-activation of naive CD4⁺ T cells and bone marrow-derived mast cells results in the development of T_h2 cells. International Immunology. 7(4). 525–532. 49 indexed citations

Hoehn, Petra, Sigrid Goedert, Tieno Germann, et al.. (1995). Opposing effects of TGF-β 2 on the Th1 cell development of naive CD4+ T cells isolated from different mouse strains. The Journal of Immunology. 155(8). 3788–3793. 53 indexed citations

Schmitt, Edgar, Petra Hoehn, Tieno Germann, & Erwin Rüde. (1994). Differential effects of interleukin‐12 on the development of naive mouse CD4⁺ T cells. European Journal of Immunology. 24(2). 343–347. 124 indexed citations

10.

Schmitt, Edgar, Tieno Germann, Sigrid Goedert, et al.. (1994). IL-9 production of naive CD4+ T cells depends on IL-2, is synergistically enhanced by a combination of TGF- beta and IL-4, and is inhibited by IFN-gamma.. The Journal of Immunology. 153(9). 3989–3996. 233 indexed citations

11.

Schmitt, Edgar, Petra Hoehn, Sigrid Goedert, et al.. (1994). T helper type 1 development of naive CD4⁺ T cells requires the coordinate action of interleukin‐12 and interferon‐γ and is inhibited by transforming growth factor‐β. European Journal of Immunology. 24(4). 793–798. 274 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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