Iris Schmitt

1.7k total citations
20 papers, 1.3k citations indexed

About

Iris Schmitt is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, Iris Schmitt has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Epidemiology and 5 papers in Molecular Biology. Recurrent topics in Iris Schmitt's work include T-cell and Retrovirus Studies (5 papers), Vector-Borne Animal Diseases (5 papers) and Animal Disease Management and Epidemiology (4 papers). Iris Schmitt is often cited by papers focused on T-cell and Retrovirus Studies (5 papers), Vector-Borne Animal Diseases (5 papers) and Animal Disease Management and Epidemiology (4 papers). Iris Schmitt collaborates with scholars based in United States, Italy and Germany. Iris Schmitt's co-authors include Ralph Grassmann, Kuan‐Teh Jeang, Francis P. Gasparro, Sergio Chimenti, Karin Müller‐Decker, Alexandros Vegiopoulos, Martin Klingenspor, Evgeny Chichelnitskiy, Mauricio Berriel Díaz and Carola W. Meyer and has published in prestigious journals such as Science, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Iris Schmitt

20 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iris Schmitt United States 16 539 415 362 338 335 20 1.3k
Kazumi Umeki Japan 19 348 0.6× 406 1.0× 134 0.4× 119 0.4× 112 0.3× 57 1.2k
Xiaogang Cheng United States 16 353 0.7× 639 1.5× 64 0.2× 49 0.1× 48 0.1× 28 1.0k
Nancy Fan United States 11 394 0.7× 551 1.3× 47 0.1× 104 0.3× 114 0.3× 14 1.2k
Takeyuki Kohno Japan 17 211 0.4× 344 0.8× 58 0.2× 57 0.2× 63 0.2× 89 755
Elizabeth S. Mingioli United States 18 502 0.9× 287 0.7× 25 0.1× 293 0.9× 311 0.9× 30 1.0k
Maria A. Lebedeva Russia 19 194 0.4× 1.1k 2.7× 53 0.1× 44 0.1× 107 0.3× 70 1.8k
Carmela DeLuca Canada 11 654 1.2× 609 1.5× 88 0.2× 28 0.1× 34 0.1× 12 1.4k
S P Staal United States 13 256 0.5× 954 2.3× 21 0.1× 78 0.2× 84 0.3× 15 1.4k
Dirk H. Ostareck Germany 24 226 0.4× 1.9k 4.7× 104 0.3× 22 0.1× 32 0.1× 35 2.4k
Nechama Haran‐Ghera Israel 28 858 1.6× 813 2.0× 92 0.3× 16 0.0× 25 0.1× 125 2.4k

Countries citing papers authored by Iris Schmitt

Since Specialization
Citations

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

Fields of papers citing papers by Iris Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iris Schmitt

This figure shows the co-authorship network connecting the top 25 collaborators of Iris Schmitt. A scholar is included among the top collaborators of Iris Schmitt 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 Iris Schmitt. Iris Schmitt 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
1.
Poplawski, Alicia, Thomas Hankeln, Fédérico Marini, et al.. (2022). Radiation-response in primary fibroblasts of long-term survivors of childhood cancer with and without second primary neoplasms: the KiKme study. Molecular Medicine. 28(1). 105–105. 4 indexed citations
2.
3.
Poplawski, Alicia, Thomas Hankeln, Steffen Rapp, et al.. (2020). Comparison of time and dose dependent gene expression and affected pathways in primary human fibroblasts after exposure to ionizing radiation. Molecular Medicine. 26(1). 85–85. 15 indexed citations
4.
Vegiopoulos, Alexandros, Karin Müller‐Decker, Daniela Strzoda, et al.. (2010). Cyclooxygenase-2 Controls Energy Homeostasis in Mice by de Novo Recruitment of Brown Adipocytes. Science. 328(5982). 1158–1161. 367 indexed citations
5.
Haller, Kerstin, et al.. (2002). Physical Interaction of Human T-Cell Leukemia Virus Type 1 Tax with Cyclin-Dependent Kinase 4 Stimulates the Phosphorylation of Retinoblastoma Protein. Molecular and Cellular Biology. 22(10). 3327–3338. 109 indexed citations
6.
Schmitt, Iris & Larry Gerace. (2001). In Vitro Analysis of Nuclear Transport Mediated by the C-terminal Shuttle Domain of Tap. Journal of Biological Chemistry. 276(45). 42355–42363. 30 indexed citations
7.
Hofmann, Wilma A., Andrea Ewald, Iris Schmitt, et al.. (2001). Cofactor Requirements for Nuclear Export of Rev Response Element (Rre)–And Constitutive Transport Element (Cte)–Containing Retroviral Rnas. The Journal of Cell Biology. 152(5). 895–910. 179 indexed citations
8.
Haller, Kerstin, et al.. (2000). Tax-Dependent Stimulation of G 1 Phase-Specific Cyclin-Dependent Kinases and Increased Expression of Signal Transduction Genes Characterize HTLV Type 1-Transformed T Cells. AIDS Research and Human Retroviruses. 16(16). 1683–1688. 34 indexed citations
9.
Neuveut, Christine, Kenneth G. Low, Frank Maldarelli, et al.. (1998). Human T-Cell Leukemia Virus Type 1 Tax and Cell Cycle Progression: Role of Cyclin D-cdk and p110Rb. Molecular and Cellular Biology. 18(6). 3620–3632. 156 indexed citations
10.
Koch, Claudia, et al.. (1998). A Human T-cell Leukemia Virus Tax Variant Incapable of Activating NF-κB Retains Its Immortalizing Potential for Primary T-lymphocytes. Journal of Biological Chemistry. 273(12). 6698–6703. 73 indexed citations
11.
12.
Schmitt, Iris, et al.. (1997). Indeterminate Cell Histiocytosis: A Rare Histiocytic Disorder. American Journal of Dermatopathology. 19(3). 276–283. 26 indexed citations
13.
Gasparro, Francis P., et al.. (1997). Psoralen Photobiology: The Relationship Between DNA Damage, Chromatin Structure, Transcription, and Immunogenic Effects. Recent results in cancer research. 143. 101–127. 34 indexed citations
14.
Schmitt, Iris, et al.. (1997). Lymphoblastic Lymphoma of the Pre-B Phenotype with Cutaneous Presentation. Dermatology. 195(3). 289–292. 15 indexed citations
15.
Schmitt, Iris, et al.. (1997). Cutaneous Epithelioid Cell Histiocytoma. American Journal of Dermatopathology. 19(5). 519–523. 7 indexed citations
16.
Imaeda, Suguru, et al.. (1996). Induction of Functional Empty Class I Major Histocompatibility Complex Glycoproteins by Photoactivated 8-Methoxypsoralen. Journal of Investigative Dermatology. 107(6). 887–890. 7 indexed citations
17.
18.
Moor, Anne C.E., Iris Schmitt, G. M. J. Beijersbergen van Henegouwen, et al.. (1995). Treatment with 8-MOP and UVA enhances MHC class I synthesis in RMA cells: preliminary results. Journal of Photochemistry and Photobiology B Biology. 29(2-3). 193–198. 42 indexed citations
19.
Schmitt, Iris, Sergio Chimenti, & Francis P. Gasparro. (1995). Psoralen-protein photochemistry — a forgotten field. Journal of Photochemistry and Photobiology B Biology. 27(2). 101–107. 76 indexed citations
20.
Schmitt, Iris, et al.. (1994). The specific effects of 8-methoxypsoralen photoadducts on cell growth: HPLC analysis of monoadduct and crosslink formation in cells exposed to split-dose treatment. Journal of Photochemistry and Photobiology B Biology. 22(1). 17–21. 19 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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