Pjotr Knyazev

2.4k total citations
30 papers, 1.9k citations indexed

About

Pjotr Knyazev is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Pjotr Knyazev has authored 30 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 17 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Pjotr Knyazev's work include Cancer Cells and Metastasis (7 papers), Protein Tyrosine Phosphatases (5 papers) and HER2/EGFR in Cancer Research (5 papers). Pjotr Knyazev is often cited by papers focused on Cancer Cells and Metastasis (7 papers), Protein Tyrosine Phosphatases (5 papers) and HER2/EGFR in Cancer Research (5 papers). Pjotr Knyazev collaborates with scholars based in Germany, United States and Austria. Pjotr Knyazev's co-authors include Axel Ullrich, Markus Reschke, Yu. V. Cheburkin, Erhard Hohenester, Takako Sasaki, Rupert Timpl, Walter Göhring, Johannes Bange, Markus Hutterer and Naomi J. Clout and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Pjotr Knyazev

30 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
Pjotr Knyazev Germany 21 1.0k 742 664 226 158 30 1.9k
Ling-Mei Wang United States 18 962 0.9× 487 0.7× 592 0.9× 219 1.0× 211 1.3× 32 1.8k
Keiko Okuda Japan 24 949 0.9× 717 1.0× 651 1.0× 180 0.8× 82 0.5× 67 2.6k
Silke Reinartz Germany 24 879 0.8× 949 1.3× 657 1.0× 426 1.9× 121 0.8× 47 2.0k
James L. Clements United States 20 1.0k 1.0× 1.2k 1.7× 429 0.6× 166 0.7× 66 0.4× 41 2.3k
Ruth LaPushin United States 24 1.6k 1.6× 461 0.6× 547 0.8× 262 1.2× 93 0.6× 36 2.3k
Diana Linnekin United States 23 839 0.8× 935 1.3× 532 0.8× 90 0.4× 98 0.6× 40 2.0k
Alison M. Michie United Kingdom 27 1.2k 1.2× 1.0k 1.4× 486 0.7× 304 1.3× 68 0.4× 67 2.5k
Michel Jourdan France 29 1.5k 1.5× 829 1.1× 906 1.4× 352 1.6× 101 0.6× 54 2.9k
Konstantin Leskov United States 19 1.1k 1.0× 395 0.5× 1.1k 1.6× 358 1.6× 80 0.5× 31 1.8k
Alicia S. Chung United States 11 1.4k 1.4× 521 0.7× 798 1.2× 517 2.3× 98 0.6× 16 2.3k

Countries citing papers authored by Pjotr Knyazev

Since Specialization
Citations

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

Fields of papers citing papers by Pjotr Knyazev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pjotr Knyazev

This figure shows the co-authorship network connecting the top 25 collaborators of Pjotr Knyazev. A scholar is included among the top collaborators of Pjotr Knyazev 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 Pjotr Knyazev. Pjotr Knyazev 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.
Sperl, Bianca, Silvia Gärtner, Tatiana Nedelko, et al.. (2019). Lung cancer stem cells and their aggressive progeny, controlled by EGFR/MIG6 inverse expression, dictate a novel NSCLC treatment approach. Oncotarget. 10(26). 2546–2560. 8 indexed citations
2.
Morresi‐Hauf, Alicia, et al.. (2017). Metformin Triggers Autophagy to Attenuate Drug-Induced Apoptosis in NSCLC Cells, with Minor Effects on Tumors of Diabetic Patients. Neoplasia. 19(5). 385–395. 23 indexed citations
3.
Gärtner, Silvia, Petra Wolf, B. Högel, et al.. (2014). PTK 7 Is a Transforming Gene and Prognostic Marker for Breast Cancer and Nodal Metastasis Involvement. PLoS ONE. 9(1). e84472–e84472. 56 indexed citations
5.
Ataseven, Beyhan, Ronald Kates, Pjotr Knyazev, et al.. (2013). PTK7 expression in triple-negative breast cancer.. PubMed. 33(9). 3759–63. 32 indexed citations
6.
Oak, Prajakta, Florian Kopp, Chitra Thakur, et al.. (2012). Combinatorial treatment of mammospheres with trastuzumab and salinomycin efficiently targets HER2‐positive cancer cells and cancer stem cells. International Journal of Cancer. 131(12). 2808–2819. 64 indexed citations
7.
Roidl, Andreas, et al.. (2009). Resistance to Chemotherapy Is Associated with Fibroblast Growth Factor Receptor 4 Up-Regulation. Clinical Cancer Research. 15(6). 2058–2066. 81 indexed citations
8.
Feng, Xiu, Xuemei Lu, Xiao-hua Man, et al.. (2009). Overexpression of Csk-binding protein contributes to renal cell carcinogenesis. Oncogene. 28(37). 3320–3331. 16 indexed citations
9.
Reschke, Markus, Daniela Mihic‐Probst, Edward H. van der Horst, et al.. (2008). HER3 Is a Determinant for Poor Prognosis in Melanoma. Clinical Cancer Research. 14(16). 5188–5197. 139 indexed citations
10.
Hutterer, Markus, Pjotr Knyazev, Markus Reschke, et al.. (2008). Axl and Growth Arrest–Specific Gene 6 Are Frequently Overexpressed in Human Gliomas and Predict Poor Prognosis in Patients with Glioblastoma Multiforme. Clinical Cancer Research. 14(1). 130–138. 215 indexed citations
11.
Singh, Bhuminder, Matthias Schneider, Pjotr Knyazev, & Axel Ullrich. (2008). UV‐induced EGFR signal transactivation is dependent on proligand shedding by activated metalloproteases in skin cancer cell lines. International Journal of Cancer. 124(3). 531–539. 51 indexed citations
12.
Ferby, Ingvar, Markus Reschke, Oliver Kudlacek, et al.. (2006). Mig6 is a negative regulator of EGF receptor–mediated skin morphogenesis and tumor formation. Nature Medicine. 12(5). 568–573. 204 indexed citations
13.
Streit, Sylvia, Jens E. Ruhe, Pjotr Knyazev, et al.. (2006). PTP-PEST phosphatase variations in human cancer. Cancer Genetics and Cytogenetics. 170(1). 48–53. 32 indexed citations
14.
Sasaki, Takako, Pjotr Knyazev, Naomi J. Clout, et al.. (2005). Structural basis for Gas6–Axl signalling. The EMBO Journal. 25(1). 80–87. 228 indexed citations
15.
Abraham, Reimar, Juliane Schäfer, Mike Rothe, et al.. (2005). Identification of MMP-15 as an Anti-apoptotic Factor in Cancer Cells. Journal of Biological Chemistry. 280(40). 34123–34132. 68 indexed citations
16.
Stadler, Christiane, Pjotr Knyazev, Johannes Bange, & Axel Ullrich. (2005). FGFR4 GLY388 isotype suppresses motility of MDA-MB-231 breast cancer cells by EDG-2 gene repression. Cellular Signalling. 18(6). 783–794. 41 indexed citations
17.
Fuchs, Margit, Christine Hermannstädter, Katja Specht, et al.. (2004). Effect of tumor‐associated mutant E‐cadherin variants with defects in exons 8 or 9 on matrix metalloproteinase 3. Journal of Cellular Physiology. 202(3). 805–813. 13 indexed citations
18.
Sasaki, Takako, Pjotr Knyazev, Yu. V. Cheburkin, et al.. (2002). Crystal Structure of a C-terminal Fragment of Growth Arrest-specific Protein Gas6. Journal of Biological Chemistry. 277(46). 44164–44170. 78 indexed citations
19.
Jallal, Bahija, et al.. (1997). The Receptor-like Protein-tyrosine Phosphatase DEP-1 Is Constitutively Associated with a 64-kDa Protein Serine/ Threonine Kinase. Journal of Biological Chemistry. 272(18). 12158–12163. 21 indexed citations
20.
Knyazev, Pjotr, et al.. (1987). Molecular-Genetic Analysis of myc and c-Ha-ras Proto-oncogene Alterations in Human Carcinoma. Hämatologie und Bluttransfusion. 31. 469–473. 2 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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