Uwe E. Hattenhorst

1.2k total citations
10 papers, 574 citations indexed

About

Uwe E. Hattenhorst is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Uwe E. Hattenhorst has authored 10 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Genetics. Recurrent topics in Uwe E. Hattenhorst's work include Respiratory viral infections research (2 papers), Virus-based gene therapy research (2 papers) and Neonatal Respiratory Health Research (2 papers). Uwe E. Hattenhorst is often cited by papers focused on Respiratory viral infections research (2 papers), Virus-based gene therapy research (2 papers) and Neonatal Respiratory Health Research (2 papers). Uwe E. Hattenhorst collaborates with scholars based in Germany, United States and France. Uwe E. Hattenhorst's co-authors include Stefan Burdach, Gesine Hansen, Uta Dirksen, Martin S. Staege, Robin Murray, Ryuichi Nishinakamura, Lawrence M. Nogee, Peter Groneck, Rolf‐Edgar Silber and Reinhard Dammann and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Cancer Research.

In The Last Decade

Uwe E. Hattenhorst

10 papers receiving 563 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uwe E. Hattenhorst Germany 8 298 254 146 86 79 10 574
Manda S. Krishnaveni United States 6 355 1.2× 294 1.2× 82 0.6× 86 1.0× 47 0.6× 10 656
Matt K. Lee United States 9 191 0.6× 446 1.8× 122 0.8× 175 2.0× 47 0.6× 12 670
Guetchyn Millien United States 9 143 0.5× 214 0.8× 116 0.8× 160 1.9× 44 0.6× 10 421
Joëlle Siat France 9 278 0.9× 188 0.7× 126 0.9× 166 1.9× 30 0.4× 27 564
Jinyu Sano Japan 11 260 0.9× 123 0.5× 143 1.0× 84 1.0× 21 0.3× 14 505
Agnes Banfalvi United States 6 302 1.0× 161 0.6× 85 0.6× 41 0.5× 50 0.6× 7 482
Yasuhito Tonomoto Japan 10 207 0.7× 182 0.7× 259 1.8× 64 0.7× 50 0.6× 12 477
Vincenzo Ciocca United States 8 242 0.8× 156 0.6× 42 0.3× 82 1.0× 97 1.2× 12 508
Evan Tobin United States 7 83 0.3× 122 0.5× 281 1.9× 54 0.6× 31 0.4× 9 501
Laurie A. Steiner United States 15 94 0.3× 451 1.8× 52 0.4× 61 0.7× 31 0.4× 43 710

Countries citing papers authored by Uwe E. Hattenhorst

Since Specialization
Citations

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

Fields of papers citing papers by Uwe E. Hattenhorst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uwe E. Hattenhorst. 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 Uwe E. Hattenhorst. The network helps show where Uwe E. Hattenhorst may publish in the future.

Co-authorship network of co-authors of Uwe E. Hattenhorst

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

All Works

10 of 10 papers shown
1.
Richter, Günther, Stephanie Plehm, Anna Melissa Schlitter, et al.. (2012). MondoA is highly overexpressed in acute lymphoblastic leukemia cells and modulates their metabolism, differentiation and survival. Leukemia Research. 36(9). 1185–1192. 16 indexed citations
2.
Kolanczyk, Mateusz, Tomasz Żemojtel, Urs Lichtenauer, et al.. (2009). PBX1 is dispensable for neural commitment of RA-treated murine ES cells. In Vitro Cellular & Developmental Biology - Animal. 45(5-6). 252–263. 8 indexed citations
3.
Dammann, Reinhard, Undraga Schagdarsurengin, Matthias Rastetter, et al.. (2005). CpG island methylation and expression of tumour-associated genes in lung carcinoma. European Journal of Cancer. 41(8). 1223–1236. 130 indexed citations
4.
Richter, Günther, et al.. (2005). Transcriptome Analysis of Pediatric cALL Versus Normal Fetal B Cells Reveals a Novel Signature of the Malignant Phenotype.. Blood. 106(11). 4352–4352. 1 indexed citations
5.
Staege, Martin S., et al.. (2004). DNA Microarrays Reveal Relationship of Ewing Family Tumors to Both Endothelial and Fetal Neural Crest-Derived Cells and Define Novel Targets. Cancer Research. 64(22). 8213–8221. 166 indexed citations
6.
Staege, Martin S., et al.. (2003). DNA-Microarrays as Tools for the Identification of Tumor Specific Gene Expression Profiles: Applications in Tumor Biology, Diagnosis and Therapy. Klinische Pädiatrie. 215(3). 135–138. 14 indexed citations
7.
Staege, Martin S., Ute Fischer, Kristoffel R. Dumon, et al.. (2003). Stable Transgenic Expression of IL-2 and HSV1-tk by Single and Fusion Tumor Cell Lines Bearing EWS/FLI-1 Chimeric Genes. Pediatric Hematology and Oncology. 20(2). 119–140. 10 indexed citations
9.
Rad, M. Ramezani, et al.. (1997). Analysis of the DNA Sequence of a 34 038 bp Region on the Left Arm of Yeast Chromosome XV. Yeast. 13(3). 281–286. 3 indexed citations
10.
Dirksen, Uta, Ryuichi Nishinakamura, Peter Groneck, et al.. (1997). Human pulmonary alveolar proteinosis associated with a defect in GM-CSF/IL-3/IL-5 receptor common beta chain expression.. Journal of Clinical Investigation. 100(9). 2211–2217. 161 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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