Malte Buchholz

6.5k total citations · 1 hit paper
100 papers, 4.6k citations indexed

About

Malte Buchholz is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Malte Buchholz has authored 100 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Oncology, 52 papers in Molecular Biology and 18 papers in Cancer Research. Recurrent topics in Malte Buchholz's work include Pancreatic and Hepatic Oncology Research (42 papers), Epigenetics and DNA Methylation (12 papers) and Cancer Genomics and Diagnostics (11 papers). Malte Buchholz is often cited by papers focused on Pancreatic and Hepatic Oncology Research (42 papers), Epigenetics and DNA Methylation (12 papers) and Cancer Genomics and Diagnostics (11 papers). Malte Buchholz collaborates with scholars based in Germany, United States and Italy. Malte Buchholz's co-authors include Thomas M. Gress, Patrick Michl, Guido Adler, Albrecht Neeße, Volker Ellenrieder, David A. Tuveson, Hans A. Kestler, Gerhard Leder, Martijn P. Lolkema and Natalie Cook and has published in prestigious journals such as Journal of Clinical Oncology, The EMBO Journal and The Journal of Immunology.

In The Last Decade

Malte Buchholz

96 papers receiving 4.5k citations

Hit Papers

Stromal biology and therapy in pancreatic cancer 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malte Buchholz Germany 35 2.4k 2.0k 1.0k 802 493 100 4.6k
Tim R. Fenton United Kingdom 27 2.7k 1.1× 1.2k 0.6× 1.3k 1.2× 508 0.6× 377 0.8× 51 4.8k
Friedemann Kiefer Germany 43 2.8k 1.2× 2.0k 1.0× 582 0.6× 1.7k 2.2× 558 1.1× 98 5.9k
ST Cheung Hong Kong 38 2.7k 1.1× 1.6k 0.8× 1.2k 1.2× 443 0.6× 582 1.2× 86 4.9k
Niels Grabe Germany 33 1.2k 0.5× 1.7k 0.9× 549 0.5× 907 1.1× 374 0.8× 106 4.6k
Johan Botling Sweden 39 2.8k 1.2× 1.6k 0.8× 1.2k 1.2× 1.1k 1.3× 368 0.7× 117 5.3k
Shumpei Ishikawa Japan 37 2.1k 0.9× 1.1k 0.6× 705 0.7× 367 0.5× 553 1.1× 126 4.5k
Angela Coxon United States 34 1.9k 0.8× 1.2k 0.6× 449 0.4× 1.3k 1.6× 203 0.4× 92 4.3k
Kevin M. Haigis United States 42 3.9k 1.6× 2.5k 1.3× 1.0k 1.0× 609 0.8× 431 0.9× 105 6.8k
Obi L. Griffith United States 40 4.0k 1.7× 1.4k 0.7× 1.4k 1.4× 1.1k 1.4× 268 0.5× 112 6.6k
Scott E. Woodman United States 35 3.3k 1.4× 2.1k 1.1× 582 0.6× 1.3k 1.7× 338 0.7× 96 6.1k

Countries citing papers authored by Malte Buchholz

Since Specialization
Citations

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

Fields of papers citing papers by Malte Buchholz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malte Buchholz

This figure shows the co-authorship network connecting the top 25 collaborators of Malte Buchholz. A scholar is included among the top collaborators of Malte Buchholz 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 Malte Buchholz. Malte Buchholz 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.
Lankat–Buttgereit, Brigitte, et al.. (2024). Synthetic lethality between ATR and POLA1 reveals a potential new target for individualized cancer therapy. Neoplasia. 57. 101038–101038. 3 indexed citations
2.
Gao, Yutong, Kai Zhao, Pietro Di Fazio, et al.. (2024). The long non-coding RNA NEAT1 contributes to aberrant STAT3 signaling in pancreatic cancer and is regulated by a metalloprotease-disintegrin ADAM8/miR-181a-5p axis. Cellular Oncology. 48(2). 391–409. 3 indexed citations
3.
Stielow, Bastian, Ignasi Forné, Andrea Nist, et al.. (2024). SAMD1 suppresses epithelial–mesenchymal transition pathways in pancreatic ductal adenocarcinoma. PLoS Biology. 22(8). e3002739–e3002739. 2 indexed citations
5.
Zimmer, Vincent, Veronika Lutz, Magdalena Huber, et al.. (2024). Optimized Spheroid Model of Pancreatic Cancer Demonstrates Influence of Macrophage–T Cell Interaction for Intratumoral T Cell Motility. Cancers. 17(1). 51–51.
6.
Lutz, Veronika, Felix S.R. Picard, Hartmann Raifer, et al.. (2023). IL18 Receptor Signaling Regulates Tumor-Reactive CD8+ T-cell Exhaustion via Activation of the IL2/STAT5/mTOR Pathway in a Pancreatic Cancer Model. Cancer Immunology Research. 11(4). 421–434. 39 indexed citations
7.
Ikonomi, Nensi, Ludwig Lausser, Julian Schwab, et al.. (2023). A systems biology approach to define mechanisms, phenotypes, and drivers in PanNETs with a personalized perspective. npj Systems Biology and Applications. 9(1). 22–22. 3 indexed citations
8.
Roth, Katrin, et al.. (2023). IL18 Receptor Signaling Inhibits Intratumoral CD8+ T-Cell Migration in a Murine Pancreatic Cancer Model. Cells. 12(3). 456–456. 8 indexed citations
9.
Pagenstecher, Axel, et al.. (2023). Feasibility of the chick chorioallantoic membrane model for preclinical studies on tumor radiofrequency ablation. European Radiology Experimental. 7(1). 56–56. 3 indexed citations
11.
Buchholz, Malte, Stephan A. Hahn, Deepak Vangala, et al.. (2017). Innovative substance 2250 as a highly promising anti-neoplastic agent in malignant pancreatic carcinoma - in vitro and in vivo. BMC Cancer. 17(1). 216–216. 13 indexed citations
12.
Kaistha, Brajesh P., Holger Lorenz, Harald Schmidt, et al.. (2015). PLAC8 Localizes to the Inner Plasma Membrane of Pancreatic Cancer Cells and Regulates Cell Growth and Disease Progression through Critical Cell-Cycle Regulatory Pathways. Cancer Research. 76(1). 96–107. 51 indexed citations
13.
Erkan, Mert, Malte Buchholz, Thomas M. Gress, et al.. (2015). Kif20a inhibition reduces migration and invasion of pancreatic cancer cells. Journal of Surgical Research. 197(1). 91–100. 49 indexed citations
14.
Griesmann, Heidi, S Ripka, Volker Ellenrieder, et al.. (2013). WNT5A-NFAT Signaling Mediates Resistance to Apoptosis in Pancreatic Cancer. Neoplasia. 15(1). 11–IN9. 69 indexed citations
15.
Kühnemuth, Benjamin, S Ripka, Heidi Griesmann, et al.. (2013). Synthetic Lethality Screen Identifies RPS6KA2 as Modifier of Epidermal Growth Factor Receptor Activity in Pancreatic Cancer. Neoplasia. 15(12). 1354–1362. 31 indexed citations
16.
Neeße, Albrecht, Anke Hahnenkamp, Heidi Griesmann, et al.. (2012). Claudin-4-targeted optical imaging detects pancreatic cancer and its precursor lesions. Gut. 62(7). 1034–1043. 68 indexed citations
17.
Krug, Sebastian, Friederike Göke, Malte Buchholz, et al.. (2012). Knock-down of Pdcd4 stimulates angiogenesis via up-regulation of angiopoietin-2. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1823(4). 789–799. 6 indexed citations
18.
Ripka, S, Jan Riedel, Albrecht Neeße, et al.. (2010). Glutamate Receptor GRIA3—Target of CUX1 and Mediator of Tumor Progression in Pancreatic Cancer. Neoplasia. 12(8). 659–IN6. 37 indexed citations
19.
Buchholz, Malte & Thomas M. Gress. (2009). Molecular changes in pancreatic cancer. Expert Review of Anticancer Therapy. 9(10). 1487–1497. 18 indexed citations
20.
Zhou, S. Kevin, Francisco J. Díaz, Malte Buchholz, et al.. (2003). Functional interactions between carcinoma cells and stellate cells accelerate pancreas cancer progression. Pancreas. 27(4). 370. 1 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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