Per Lund

654 total citations
9 papers, 453 citations indexed

About

Per Lund is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Per Lund has authored 9 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Per Lund's work include Metabolism, Diabetes, and Cancer (3 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Cancer Cells and Metastasis (1 paper). Per Lund is often cited by papers focused on Metabolism, Diabetes, and Cancer (3 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Cancer Cells and Metastasis (1 paper). Per Lund collaborates with scholars based in Germany, United States and Japan. Per Lund's co-authors include Christine Sers, Peter Schirmacher, Reinhold Schäfer, Wolfgang H. Caselmann, H. P. Dienes, Felix Geißler, Anke Schwendel, Oleg Tchernitsa, Bernd Hinzmann and Anja Schramme and has published in prestigious journals such as Oncogene, British Journal of Cancer and International Journal of Cancer.

In The Last Decade

Per Lund

9 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Per Lund Germany 9 258 153 126 70 48 9 453
Manuela Lacerda Portugal 11 170 0.7× 149 1.0× 141 1.1× 36 0.5× 33 0.7× 14 398
Zofia F. Bielecka Poland 12 244 0.9× 190 1.2× 142 1.1× 36 0.5× 92 1.9× 13 507
Emanuela Scavo Italy 5 194 0.8× 142 0.9× 168 1.3× 37 0.5× 15 0.3× 5 358
Irena Klima Switzerland 11 233 0.9× 157 1.0× 125 1.0× 37 0.5× 22 0.5× 17 485
Xiukun Hou China 10 297 1.2× 150 1.0× 139 1.1× 49 0.7× 14 0.3× 26 483
Suchitra Natarajan United States 8 226 0.9× 130 0.8× 126 1.0× 48 0.7× 19 0.4× 13 379
Ronghao Wang China 14 428 1.7× 115 0.8× 289 2.3× 92 1.3× 29 0.6× 27 675
Laura Wilson United Kingdom 13 345 1.3× 150 1.0× 105 0.8× 27 0.4× 25 0.5× 23 563
Ru Ji China 9 275 1.1× 185 1.2× 148 1.2× 81 1.2× 31 0.6× 18 552
Eric Sceusi United States 6 424 1.6× 419 2.7× 227 1.8× 68 1.0× 38 0.8× 10 704

Countries citing papers authored by Per Lund

Since Specialization
Citations

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

Fields of papers citing papers by Per Lund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Per Lund

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

All Works

9 of 9 papers shown
1.
Thomsen, Andreas, Peter Bronsert, Yi Thomann, et al.. (2017). A deep conical agarose microwell array for adhesion independent three-dimensional cell culture and dynamic volume measurement. Lab on a Chip. 18(1). 179–189. 66 indexed citations
2.
Lund, Per, Irina Kotova, Valérie Kedinger, et al.. (2011). Transformation-Dependent Silencing of Tumor-Selective Apoptosis-Inducing TRAIL by DNA Hypermethylation Is Antagonized by Decitabine. Molecular Cancer Therapeutics. 10(9). 1611–1623. 16 indexed citations
3.
Sers, Christine, Ruprecht Kuner, Christine S. Falk, et al.. (2009). Down‐regulation of HLA Class I and NKG2D ligands through a concerted action of MAPK and DNA methyltransferases in colorectal cancer cells. International Journal of Cancer. 125(7). 1626–1639. 61 indexed citations
4.
Pacyna‐Gengelbach, Manuela, Thomas Knösel, Per Lund, et al.. (2007). Insulin‐like growth factor binding protein‐related protein 1 (IGFBP‐rP1) has potential tumour‐suppressive activity in human lung cancer. The Journal of Pathology. 211(4). 431–438. 63 indexed citations
5.
Lund, Per, Thomas Mikeska, Xiang Chen, et al.. (2006). Oncogenic HRAS suppresses clusterin expression through promoter hypermethylation. Oncogene. 25(35). 4890–4903. 56 indexed citations
6.
Tchernitsa, Oleg, Christine Sers, Johannes Zuber, et al.. (2004). Transcriptional basis of KRAS oncogene-mediated cellular transformation in ovarian epithelial cells. Oncogene. 23(26). 4536–4555. 59 indexed citations
7.
Lund, Per, et al.. (2003). Autocrine inhibition of chemotherapy response in human liver tumor cells by insulin-like growth factor-II. Cancer Letters. 206(1). 85–96. 39 indexed citations
8.
Caselmann, Wolfgang H., et al.. (2001). Frequent genomic imbalances suggest commonly altered tumour genes in human hepatocarcinogenesis. British Journal of Cancer. 85(5). 697–704. 57 indexed citations
9.
Kaina, Bernd, Gerhard Fritz, Simone Haas, et al.. (1998). Transgenic systems in studies on genotoxicity of alkylating agents: critical lesions, thresholds and defense mechanisms. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 405(2). 179–191. 36 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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