Jutta Deckert

1.3k total citations
28 papers, 1.0k citations indexed

About

Jutta Deckert is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology. According to data from OpenAlex, Jutta Deckert has authored 28 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Oncology and 11 papers in Molecular Biology. Recurrent topics in Jutta Deckert's work include Monoclonal and Polyclonal Antibodies Research (16 papers), HER2/EGFR in Cancer Research (11 papers) and CAR-T cell therapy research (8 papers). Jutta Deckert is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (16 papers), HER2/EGFR in Cancer Research (11 papers) and CAR-T cell therapy research (8 papers). Jutta Deckert collaborates with scholars based in United States, France and Switzerland. Jutta Deckert's co-authors include Kevin Struhl, Richard S. Zitomer, Bhuvana Balasubramanian, Pauline M. Carrico, Rodolfo F. Perini, Thomas Chittenden, Peter U. Park, Fotios Loupakis, Raffaele Baffa and Francesca Galuppini and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Blood.

In The Last Decade

Jutta Deckert

27 papers receiving 1000 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jutta Deckert United States 11 666 295 186 126 116 28 1.0k
Flavia Pichiorri United States 22 770 1.2× 414 1.4× 190 1.0× 147 1.2× 43 0.4× 43 1.1k
Tove Irene Klokk Norway 18 460 0.7× 137 0.5× 74 0.4× 203 1.6× 39 0.3× 26 940
Mercedes Dosil Spain 18 929 1.4× 178 0.6× 130 0.7× 183 1.5× 57 0.5× 35 1.2k
Mala Mani United States 11 1.1k 1.6× 413 1.4× 247 1.3× 132 1.0× 27 0.2× 15 1.4k
Michael Certo United States 5 1.2k 1.9× 363 1.2× 191 1.0× 253 2.0× 24 0.2× 6 1.6k
Veronica Novotny‐Diermayr Singapore 14 596 0.9× 380 1.3× 225 1.2× 133 1.1× 19 0.2× 19 986
Umberto Restuccia Italy 11 417 0.6× 131 0.4× 63 0.3× 149 1.2× 33 0.3× 14 677
Astrid Clarke United States 11 715 1.1× 171 0.6× 44 0.2× 234 1.9× 35 0.3× 27 1000
Michael Pranpat United States 6 1.1k 1.7× 251 0.9× 252 1.4× 94 0.7× 12 0.1× 11 1.3k
Kathy Rocha United States 7 1.1k 1.7× 261 0.9× 368 2.0× 106 0.8× 12 0.1× 13 1.3k

Countries citing papers authored by Jutta Deckert

Since Specialization
Citations

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

Fields of papers citing papers by Jutta Deckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jutta Deckert

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

All Works

20 of 20 papers shown
3.
Deckert, Jutta, Jenny Thirlway, Yun‐Hee Park, et al.. (2022). Abstract 1753: IKS014, a HER2-targeting antibody drug conjugate incorporating novel bioconjugation and tumor-selective linker technology with improved in vivo efficacy and tolerability. Cancer Research. 82(12_Supplement). 1753–1753. 5 indexed citations
4.
Jakobsen, Janus S., Matteo Riva, Maria C. Melander, et al.. (2021). Abstract 1797: Preclinical characterization of Sym024, a novel anti-CD73 antibody. Cancer Research. 81(13_Supplement). 1797–1797. 2 indexed citations
5.
Galuppini, Francesca, et al.. (2019). Tumor mutation burden: from comprehensive mutational screening to the clinic. Cancer Cell International. 19(1). 209–209. 116 indexed citations
6.
Deckert, Jutta, Marie-Cécile Wetzel, Laura M. Bartle, et al.. (2014). SAR650984, A Novel Humanized CD38-Targeting Antibody, Demonstrates Potent Antitumor Activity in Models of Multiple Myeloma and Other CD38+ Hematologic Malignancies. Clinical Cancer Research. 20(17). 4574–4583. 245 indexed citations
7.
Stathis, Anastasios, Kami J. Maddocks, Ian W. Flinn, et al.. (2014). Preliminary findings from a phase I, multicenter, open-label study of the anti-CD37 antibody-drug conjugate (ADC), IMGN529, in adult patients with relapsed or refractory non-Hodgkin lymphoma (NHL).. Journal of Clinical Oncology. 32(15_suppl). 8526–8526. 7 indexed citations
8.
Deckert, Jutta, Peter U. Park, Yong Weon Yi, et al.. (2013). A novel anti-CD37 antibody-drug conjugate with multiple anti-tumor mechanisms for the treatment of B-cell malignancies. Blood. 122(20). 3500–3510. 67 indexed citations
9.
Wetzel, Marie-Cécile, Céline Nicolazzi, François Vallée, et al.. (2013). Abstract 4735: SAR650984: Characterization of a potent phase I humanized anti-CD38 antibody for the treatment of multiple myeloma and other hematologic malignancies.. Cancer Research. 73(8_Supplement). 4735–4735. 3 indexed citations
10.
Deckert, Jutta, Michele Mayo, Yong Weon Yi, et al.. (2011). Abstract 4565: IMGN529: A therapeutic maytansinoid conjugate of an anti-CD37 antibody with multiple mechanisms of action for B-cell lymphoma and leukemia. Cancer Research. 71(8_Supplement). 4565–4565. 4 indexed citations
11.
Park, Peter U., Yong Weon Yi, Min Li, et al.. (2011). Abstract 2830: Antibody and linker selection for the anti-CD37 antibody-maytansinoid conjugate IMGN529 for the treatment of B-cell malignancies. Cancer Research. 71(8_Supplement). 2830–2830. 4 indexed citations
12.
Park, Peter U., Véronique Blanc, Jutta Deckert, et al.. (2008). SAR650984: A Potent Anti-CD38 Therapeutic Antibody with Three Mechanisms of Action (Apoptosis, ADCC, CDC) for Hematological Malignancies. Blood. 112(11). 2756–2756. 3 indexed citations
13.
Deckert, Jutta & Kevin Struhl. (2002). Targeted Recruitment of Rpd3 Histone Deacetylase Represses Transcription by Inhibiting Recruitment of Swi/Snf, SAGA, and TATA Binding Protein. Molecular and Cellular Biology. 22(18). 6458–6470. 48 indexed citations
14.
Deckert, Jutta & Kevin Struhl. (2001). Histone Acetylation at Promoters Is Differentially Affected by Specific Activators and Repressors. Molecular and Cellular Biology. 21(8). 2726–2735. 174 indexed citations
15.
Deckert, Jutta, et al.. (1999). Characterization of the DNA binding and bending HMG domain of the yeast hypoxic repressor Rox1. Nucleic Acids Research. 27(17). 3518–3526. 27 indexed citations
16.
Deckert, Jutta, et al.. (1998). The Anatomy of a Hypoxic Operator in Saccharomyces cerevisiae. Genetics. 150(4). 1429–1441. 32 indexed citations
17.
Carrico, Pauline M., et al.. (1997). Regulation of hypoxic gene expression in yeast. Kidney International. 51(2). 507–513. 74 indexed citations
18.
Zitomer, Richard S., et al.. (1997). Approaches to the Study of Rox1 Repression of the Hypoxic Genes in the YeastSaccharomyces cerevisiae. Methods. 11(3). 279–288. 30 indexed citations
19.
Deckert, Jutta, Rodolfo F. Perini, Bhuvana Balasubramanian, & Richard S. Zitomer. (1995). Multiple elements and auto-repression regulate Rox1, a repressor of hypoxic genes in Saccharomyces cerevisiae.. Genetics. 139(3). 1149–1158. 91 indexed citations
20.
Deckert, Jutta, et al.. (1995). Mutational Analysis of Rox1, a DNA-Bending Repressor of Hypoxic Genes in Saccharomyces cerevisiae. Molecular and Cellular Biology. 15(11). 6109–6117. 60 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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