Uwe Altenschmidt

1.0k total citations
21 papers, 765 citations indexed

About

Uwe Altenschmidt is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Uwe Altenschmidt has authored 21 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Uwe Altenschmidt's work include Microbial Metabolic Engineering and Bioproduction (7 papers), CAR-T cell therapy research (7 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Uwe Altenschmidt is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (7 papers), CAR-T cell therapy research (7 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Uwe Altenschmidt collaborates with scholars based in Germany, Slovakia and India. Uwe Altenschmidt's co-authors include Georg Fuchs, Bernd Groner, Winfried S. Wels, Christoph Eckerskorn, Bernhard Gerstmayer, Georg Fuchs, Dirk Moritz, Mathias Schmidt, Heinz Herrmann and Barbara S. Schnierle and has published in prestigious journals such as The Journal of Immunology, FEBS Letters and Journal of Bacteriology.

In The Last Decade

Uwe Altenschmidt

21 papers receiving 747 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 Altenschmidt Germany 16 351 246 238 215 128 21 765
Jacob Delarea Israel 6 378 1.1× 183 0.7× 60 0.3× 81 0.4× 69 0.5× 7 766
Sibylle Bürger Germany 21 575 1.6× 88 0.4× 149 0.6× 107 0.5× 12 0.1× 31 904
Kevin J. Kayser United States 14 472 1.3× 31 0.1× 177 0.7× 35 0.2× 104 0.8× 22 790
Weiping Shi China 13 393 1.1× 102 0.4× 59 0.2× 77 0.4× 54 0.4× 15 853
Min Ren China 16 276 0.8× 107 0.4× 108 0.5× 187 0.9× 19 0.1× 45 902
K. Kita Japan 12 603 1.7× 62 0.3× 48 0.2× 118 0.5× 17 0.1× 17 837
Lu Zheng China 17 397 1.1× 130 0.5× 38 0.2× 89 0.4× 18 0.1× 61 983
Roberta Meschini Italy 16 494 1.4× 100 0.4× 54 0.2× 47 0.2× 57 0.4× 50 832
Xiu Fen Liu United States 16 577 1.6× 85 0.3× 52 0.2× 138 0.6× 34 0.3× 19 1.1k
Chiharu Nakai United States 17 560 1.6× 13 0.1× 207 0.9× 103 0.5× 62 0.5× 22 915

Countries citing papers authored by Uwe Altenschmidt

Since Specialization
Citations

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

Fields of papers citing papers by Uwe Altenschmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uwe Altenschmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Uwe Altenschmidt. A scholar is included among the top collaborators of Uwe Altenschmidt 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 Altenschmidt. Uwe Altenschmidt 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.
Azémar, Marc, et al.. (2003). Direction of the Recognition Specificity of Cytotoxic T Cells Toward Tumor Cells by Transduced, Chimeric T-Cell Receptor Genes. Humana Press eBooks. 39. 749–756. 1 indexed citations
2.
Schmidt, Mathias, et al.. (1998). Systemic treatment with a recombinant erbB-2 receptor-specific tumor toxin efficiently reduces pulmonary metastases in mice injected with genetically modified carcinoma cells.. PubMed. 58(12). 2661–6. 43 indexed citations
3.
Škalko‐Basnet, Nataša, et al.. (1998). pH‐sensitive liposomes for receptor‐mediated delivery to chicken hepatoma (LMH) cells. FEBS Letters. 434(3). 351–356. 16 indexed citations
4.
Gerstmayer, Bernhard, Michael K. Hoffmann, Uwe Altenschmidt, & Winfried S. Wels. (1997). Costimulation of T-cell proliferation by a chimeric B7-antibody fusion protein. Cancer Immunology Immunotherapy. 45(3-4). 156–158. 16 indexed citations
5.
Altenschmidt, Uwe, Dirk Moritz, & Bernd Groner. (1997). Specific cytotoxic T lymphocytes in gene therapy. Journal of Molecular Medicine. 75(4). 259–266. 30 indexed citations
6.
Altenschmidt, Uwe, et al.. (1997). Adoptive transfer of in vitro-targeted, activated T lymphocytes results in total tumor regression. The Journal of Immunology. 159(11). 5509–5515. 88 indexed citations
7.
8.
Altenschmidt, Uwe, Mathias Schmidt, Bernd Groner, & Winfried S. Wels. (1997). Targeted therapy of Schwannoma cells in immunocompetent rats with an erbB2-specific antibody-toxin. International Journal of Cancer. 73(1). 117–124. 21 indexed citations
9.
Gerstmayer, Bernhard, et al.. (1997). Costimulation of T cell proliferation by a chimeric B7-2 antibody fusion protein specifically targeted to cells expressing the erbB2 proto-oncogene. The Journal of Immunology. 158(10). 4584–4590. 40 indexed citations
10.
Altenschmidt, Uwe, Dirk Moritz, Barbara S. Schnierle, et al.. (1996). Cytolysis of tumor cells expressing the Neu/erbB-2, erbB-3, and erbB-4 receptors by genetically targeted naive T lymphocytes.. PubMed. 2(6). 1001–8. 65 indexed citations
11.
12.
Altenschmidt, Uwe, et al.. (1995). Purification and properties of benzyl alcohol dehydrogenase from a denitrifying Thauera sp.. Archives of Microbiology. 163(6). 418–423. 19 indexed citations
13.
Niemetz, Ruth, et al.. (1995). Benzoyl‐Coenzyme‐A 3‐Monooxygenase, a Flavin‐Dependent Hydroxylase. European Journal of Biochemistry. 227(1-2). 161–168. 21 indexed citations
14.
Altenschmidt, Uwe, et al.. (1993). Enzymes of anaerobic metabolism of phenolic compounds. European Journal of Biochemistry. 213(1). 555–561. 68 indexed citations
15.
Altenschmidt, Uwe & Georg Fuchs. (1992). Novel aerobic 2‐aminobenzoate metabolism. European Journal of Biochemistry. 205(2). 721–727. 35 indexed citations
16.
Altenschmidt, Uwe, Martin Bokranz, & Georg Fuchs. (1992). Novel aerobic 2‐aminobenzoate metabolism. European Journal of Biochemistry. 207(2). 715–722. 14 indexed citations
17.
Altenschmidt, Uwe & Georg Fuchs. (1992). Anaerobic toluene oxidation to benzyl alcohol and benzaldehyde in a denitrifying Pseudomonas strain. Journal of Bacteriology. 174(14). 4860–4862. 37 indexed citations
18.
Altenschmidt, Uwe & Georg Fuchs. (1991). Anaerobic degradation of toluene in denitrifying Pseudomonas sp.: indication for toluene methylhydroxylation and benzoyl-CoA as central aromatic intermediate. Archives of Microbiology. 156(2). 152–158. 77 indexed citations
19.
Altenschmidt, Uwe, et al.. (1991). Purification and characterization of benzoate-coenzyme A ligase and 2-aminobenzoate-coenzyme A ligases from a denitrifying Pseudomonas sp. Journal of Bacteriology. 173(17). 5494–5501. 87 indexed citations
20.
Altenschmidt, Uwe, Christoph Eckerskorn, & Georg Fuchs. (1990). Evidence that enzymes of a novel aerobic 2‐amino‐benzoate metabolism in denitrifying Pseudomonas are coded on a small plasmid. European Journal of Biochemistry. 194(2). 647–653. 11 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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