Dieter Prechtel

1.2k total citations
10 papers, 991 citations indexed

About

Dieter Prechtel is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Dieter Prechtel has authored 10 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Dieter Prechtel's work include HER2/EGFR in Cancer Research (4 papers), Peptidase Inhibition and Analysis (2 papers) and Breast Cancer Treatment Studies (2 papers). Dieter Prechtel is often cited by papers focused on HER2/EGFR in Cancer Research (4 papers), Peptidase Inhibition and Analysis (2 papers) and Breast Cancer Treatment Studies (2 papers). Dieter Prechtel collaborates with scholars based in Germany and United States. Dieter Prechtel's co-authors include Ernst Lengyel, Manfred Schmitt, Nadia Harbeck, Markus Gerhard, Kerstin Dehne, H. Graeff, Andreas Schnelzer, Ulla G. Knaus, Ursula Berger and Rafael Fridman and has published in prestigious journals such as Oncogene, International Journal of Cancer and Gynecologic Oncology.

In The Last Decade

Dieter Prechtel

10 papers receiving 980 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dieter Prechtel Germany 6 596 404 311 115 106 10 991
Sujatha Jagadeeswaran United States 12 465 0.8× 360 0.9× 197 0.6× 87 0.8× 89 0.8× 16 973
Nikolaos A. Dallas United States 13 889 1.5× 711 1.8× 451 1.5× 74 0.6× 76 0.7× 16 1.4k
Debra Weinstat‐Saslow United States 9 671 1.1× 354 0.9× 284 0.9× 110 1.0× 33 0.3× 12 935
Joanna W. Ho Hong Kong 15 638 1.1× 283 0.7× 281 0.9× 100 0.9× 346 3.3× 16 1.1k
Vittoria Cioce United States 10 842 1.4× 337 0.8× 275 0.9× 280 2.4× 205 1.9× 11 1.3k
D. Campbell United States 9 388 0.7× 415 1.0× 228 0.7× 75 0.7× 49 0.5× 11 943
Matthew T. Harbison United States 8 853 1.4× 924 2.3× 362 1.2× 77 0.7× 55 0.5× 8 1.6k
Stefan Grotegut United States 10 572 1.0× 219 0.5× 128 0.4× 125 1.1× 63 0.6× 11 781
H E Zhau United States 12 568 1.0× 348 0.9× 335 1.1× 101 0.9× 41 0.4× 16 1.0k
Matthew J.F. Waterman United States 8 1.2k 2.1× 514 1.3× 475 1.5× 177 1.5× 32 0.3× 8 1.5k

Countries citing papers authored by Dieter Prechtel

Since Specialization
Citations

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

Fields of papers citing papers by Dieter Prechtel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dieter Prechtel

This figure shows the co-authorship network connecting the top 25 collaborators of Dieter Prechtel. A scholar is included among the top collaborators of Dieter Prechtel 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 Dieter Prechtel. Dieter Prechtel 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.
Lengyel, Ernst, Dieter Prechtel, James H. Resau, et al.. (2004). C-Met overexpression in node-positive breast cancer identifies patients with poor clinical outcome independent of Her2/neu. International Journal of Cancer. 113(4). 678–682. 217 indexed citations
2.
Prechtel, Dieter, et al.. (2001). Aktueller Standard der Diagnostik des Mammakarzinoms in der Praxis. Der Pathologe. 22(4). 281–284. 2 indexed citations
3.
Prechtel, Dieter, et al.. (2001). Clinical Relevance of T1-S, an Oncogene-Inducible, Secreted Glycoprotein of the Immunoglobulin Superfamily, in Node-Negative Breast Cancer. Laboratory Investigation. 81(2). 159–165. 10 indexed citations
4.
Lengyel, Ernst, Barbara Schmalfeldt, K Späthe, et al.. (2001). Expression of Latent Matrix Metalloproteinase 9 (MMP-9) Predicts Survival in Advanced Ovarian Cancer. Gynecologic Oncology. 82(2). 291–298. 100 indexed citations
5.
Schmalfeldt, Barbara, Dieter Prechtel, K Späthe, et al.. (2001). Increased expression of matrix metalloproteinases (MMP)-2, MMP-9, and the urokinase-type plasminogen activator is associated with progression from benign to advanced ovarian cancer.. PubMed. 7(8). 2396–404. 300 indexed citations
6.
Schnelzer, Andreas, Dieter Prechtel, Ulla G. Knaus, et al.. (2000). Rac1 in human breast cancer: overexpression, mutation analysis, and characterization of a new isoform, Rac1b. Oncogene. 19(26). 3013–3020. 343 indexed citations
7.
Werenskiold, Anne Katrin, Dieter Prechtel, Nadia Harbeck, & Heinz Höfler. (2000). Tumor-Associated Overexpression of the Soluble T1-S Receptor in Lymph Node–Negative Breast Cancer. Diagnostic Molecular Pathology. 9(1). 26–34. 5 indexed citations
8.
Prechtel, Dieter, et al.. (1998). Frequent Loss of Heterozygosity at Chromosome 13q12–13 with BRCA2 Markers in Sporadic Male Breast Cancer. Diagnostic Molecular Pathology. 7(1). 57–62. 10 indexed citations
9.
Prechtel, Dieter, et al.. (1996). Mammakarzinom und brusterhaltende Therapie (BET) - Eine kritische Stellungnahme aus der Sicht des Pathologen*. Geburtshilfe und Frauenheilkunde. 56(4). 184–189. 1 indexed citations
10.
Prechtel, Dieter, et al.. (1993). [Quantitative determination of steroid hormone receptors in breast cancer tissue outside tumor centers].. PubMed. 14(1). 16–20. 3 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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