Kurt E.J. Dittmar

2.4k total citations
62 papers, 1.9k citations indexed

About

Kurt E.J. Dittmar is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Kurt E.J. Dittmar has authored 62 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 17 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in Kurt E.J. Dittmar's work include Immunotherapy and Immune Responses (11 papers), Virus-based gene therapy research (7 papers) and Immune Cell Function and Interaction (7 papers). Kurt E.J. Dittmar is often cited by papers focused on Immunotherapy and Immune Responses (11 papers), Virus-based gene therapy research (7 papers) and Immune Cell Function and Interaction (7 papers). Kurt E.J. Dittmar collaborates with scholars based in Germany, United States and Switzerland. Kurt E.J. Dittmar's co-authors include Werner Lindenmaier, Manfred Rohde, Jan Buer, H. Heckers, Bin Ma, V. Moennig, Michael Mengel, Siegfried Weiß, Jörg Lauber and Tracy Doan and has published in prestigious journals such as New England Journal of Medicine, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Kurt E.J. Dittmar

62 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kurt E.J. Dittmar Germany 26 634 607 292 191 187 62 1.9k
R A Houghten United States 30 833 1.3× 1.4k 2.3× 159 0.5× 128 0.7× 181 1.0× 62 3.0k
Knut Adermann Germany 34 898 1.4× 1.9k 3.1× 489 1.7× 86 0.5× 216 1.2× 86 3.6k
Robert Lodge Canada 27 610 1.0× 1.0k 1.7× 140 0.5× 85 0.4× 140 0.7× 55 2.7k
Toru Okamoto Japan 37 860 1.4× 1.8k 3.0× 367 1.3× 73 0.4× 234 1.3× 123 4.0k
Benjamin Thomas United Kingdom 29 881 1.4× 1.8k 3.0× 357 1.2× 34 0.2× 299 1.6× 83 3.3k
Julian E. Beesley United Kingdom 25 499 0.8× 726 1.2× 112 0.4× 44 0.2× 167 0.9× 78 2.4k
Su‐Chang Lin Taiwan 24 1.6k 2.5× 1.8k 3.0× 398 1.4× 80 0.4× 140 0.7× 42 3.2k
C. R. Jenkin Australia 21 1.2k 1.8× 1.5k 2.5× 188 0.6× 93 0.5× 291 1.6× 46 3.7k
Matthew J. Bottomley Italy 24 715 1.1× 2.3k 3.8× 384 1.3× 121 0.6× 231 1.2× 53 3.8k
Jan Černý Czechia 29 1.9k 3.0× 1.5k 2.4× 259 0.9× 56 0.3× 265 1.4× 128 3.6k

Countries citing papers authored by Kurt E.J. Dittmar

Since Specialization
Citations

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

Fields of papers citing papers by Kurt E.J. Dittmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kurt E.J. Dittmar. 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 Kurt E.J. Dittmar. The network helps show where Kurt E.J. Dittmar may publish in the future.

Co-authorship network of co-authors of Kurt E.J. Dittmar

This figure shows the co-authorship network connecting the top 25 collaborators of Kurt E.J. Dittmar. A scholar is included among the top collaborators of Kurt E.J. Dittmar 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 Kurt E.J. Dittmar. Kurt E.J. Dittmar 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.
Leidinger, Peter, Kristine Hagens, Dominik Schwudke, et al.. (2015). Isoniazid@Fe2O3Nanocontainers and Their Antibacterial Effect on Tuberculosis Mycobacteria. Angewandte Chemie International Edition. 54(43). 12597–12601. 34 indexed citations
2.
Dittmar, Kurt E.J., Oliver Schön, Wilhelm G. Dirks, et al.. (2010). Quality of Cell Products: Authenticity, Identity, Genomic Stability and Status of Differentiation. Transfusion Medicine and Hemotherapy. 37(2). 2–2. 17 indexed citations
3.
Lünsdorf, Heinrich, et al.. (2009). ZrO(HPO4)1−x(FMN)x: Quick and Easy Synthesis of a Nanoscale Luminescent Biomarker. Angewandte Chemie International Edition. 49(3). 632–637. 33 indexed citations
4.
Garritsen, Henk, Alex Xiu‐Cheng Fan, Xiao Yan Zhong, et al.. (2009). Molecular Diagnostics in Transfusion Medicine: In Capillary, on a Chip, in Silico, or in Flight?. Transfusion Medicine and Hemotherapy. 36(3). 181–187. 9 indexed citations
6.
Winkeler, Alexandra, Edward E. Knaus, Kurt E.J. Dittmar, et al.. (2008). In Vivo Evaluation of the Uptake of [123I]FIAU, [123I]IVFRU and [123I]IVFAU by Normal Mouse Brain: Potential For Noninvasive Assessment of HSV-1 Thymidine Kinase Gene Expression in Gliomas. Nucleosides Nucleotides & Nucleic Acids. 27(1). 57–66. 3 indexed citations
7.
Ma, Bin, Jadwiga Jabłońska, Werner Lindenmaier, & Kurt E.J. Dittmar. (2007). Immunohistochemical study of the reticular and vascular network of mouse lymph node using vibratome sections. Acta Histochemica. 109(1). 15–28. 15 indexed citations
8.
Ma, Bin, Timo Zimmermann, Manfred Rohde, et al.. (2006). Use of Autostitch for automatic stitching of microscope images. Micron. 38(5). 492–499. 71 indexed citations
9.
Ma, Bin, Feng He, Jadwiga Jabłońska, et al.. (2006). Six‐color segmentation of multicolor images in the infection studies of Listeria monocytogenes. Microscopy Research and Technique. 70(2). 171–178. 5 indexed citations
10.
Franzke, Anke, et al.. (2006). Regulatory T-cells in the control of immunological diseases. Annals of Hematology. 85(11). 747–758. 12 indexed citations
11.
Just, Lothar, et al.. (2006). Formation of three‐dimensional fetal myocardial tissue cultures from rat for long‐term cultivation. Developmental Dynamics. 235(8). 2200–2209. 10 indexed citations
12.
Wiethe, Carsten, Kurt E.J. Dittmar, Tracy Doan, Werner Lindenmaier, & Robert W. Tindle. (2003). Provision of 4-1BB Ligand Enhances Effector and Memory CTL Responses Generated by Immunization with Dendritic Cells Expressing a Human Tumor-Associated Antigen. The Journal of Immunology. 170(6). 2912–2922. 58 indexed citations
13.
Schrader, Andres Jan, Oskar Lechner, Markus F. Templin, et al.. (2002). CXCR4/CXCL12 expression and signalling in kidney cancer. British Journal of Cancer. 86(8). 1250–1256. 216 indexed citations
14.
Atzpodien, Jens & Kurt E.J. Dittmar. (1999). Immunologic Crosstalk. New England Journal of Medicine. 340(22). 1732–1732. 5 indexed citations
15.
Greiser‐Wilke, I., Kurt E.J. Dittmar, B. Ließ, & V. Moennig. (1992). Heterogeneous expression of the non-structural protein p80/p125 in cells infected with different pestiviruses. Journal of General Virology. 73(1). 47–52. 49 indexed citations
16.
Greiser‐Wilke, I., Kurt E.J. Dittmar, B. Ließ, & V. Moennig. (1991). Immunofluorescence Studies of Biotype-Specific Expression of Bovine Viral Diarrhoea Virus Epitopes in Infected Cells. Journal of General Virology. 72(8). 2015–2019. 21 indexed citations
17.
Conradt, Peter, et al.. (1989). Myxothiazol: A reversible blocker of the cell cycle.. The Journal of Antibiotics. 42(7). 1158–1162. 6 indexed citations
19.
Dittmar, Kurt E.J.. (1979). Acute myeloblastic leukemia with polycythemia vera. Treated with busulfan and phlebotomy.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 79(5). 758–61. 1 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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