Holger Kalthoff

16.3k total citations
255 papers, 12.7k citations indexed

About

Holger Kalthoff is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Holger Kalthoff has authored 255 papers receiving a total of 12.7k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Oncology, 124 papers in Molecular Biology and 53 papers in Cancer Research. Recurrent topics in Holger Kalthoff's work include Pancreatic and Hepatic Oncology Research (69 papers), Cell death mechanisms and regulation (38 papers) and Cancer Cells and Metastasis (33 papers). Holger Kalthoff is often cited by papers focused on Pancreatic and Hepatic Oncology Research (69 papers), Cell death mechanisms and regulation (38 papers) and Cancer Cells and Metastasis (33 papers). Holger Kalthoff collaborates with scholars based in Germany, United States and China. Holger Kalthoff's co-authors include Bence Sipos, Hendrik Ungefroren, Christian Röder, Anna Trauzold, Günter Klöppel, Doris Henne‐Bruns, Wolff Schmiegel, Alexander Arlt, Ilka Vogel and Bernd Kremer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Holger Kalthoff

251 papers receiving 12.5k citations

Peers

Holger Kalthoff
Wolter J. Mooi Netherlands
Christian Pilarsky Germany
Zhao–You Tang China
Øystein Fodstad Norway
Giorgio Stassi Italy
Alexandra Giatromanolaki Greece
Corazon D. Bucana United States
Samuel C. Mok United States
Steven de Jong Netherlands
Barbara Fingleton United States
Wolter J. Mooi Netherlands
Holger Kalthoff
Citations per year, relative to Holger Kalthoff Holger Kalthoff (= 1×) peers Wolter J. Mooi

Countries citing papers authored by Holger Kalthoff

Since Specialization
Citations

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

Fields of papers citing papers by Holger Kalthoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Holger Kalthoff

This figure shows the co-authorship network connecting the top 25 collaborators of Holger Kalthoff. A scholar is included among the top collaborators of Holger Kalthoff 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 Holger Kalthoff. Holger Kalthoff 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.
Gasparoni, Gilles, В. Б. Матвеев, Alexey Pryalukhin, et al.. (2020). The HPV and p63 Status in Penile Cancer Are Linked with the Infiltration and Therapeutic Availability of Neutrophils. Molecular Cancer Therapeutics. 20(2). 423–437. 8 indexed citations
2.
Hauser, Charlotte A. E., Christine Böger, Christian Röder, et al.. (2018). Cytoplasmic TRAIL-R1 is a positive prognostic marker in PDAC. BMC Cancer. 18(1). 777–777. 21 indexed citations
3.
Böger, Christine, Holger Kalthoff, Simon L. Goodman, & Christoph Röcken. (2013). Validation and Comparison of Anti-αvβ3 and Anti-αvβ5 Rabbit Monoclonal Versus Murine Monoclonal Antibodies in Four Different Tumor Entities. Applied immunohistochemistry & molecular morphology. 21(6). 553–560. 8 indexed citations
4.
Schem, Christian, Dirk Bauerschlag, Frank Rösel, et al.. (2013). Preclinical evaluation of Sunitinib as a single agent in the prophylactic setting in a mouse model of bone metastases. BMC Cancer. 13(1). 32–32. 6 indexed citations
5.
Heise, Daniel, Torben Redmer, Freya A. Goumas, et al.. (2011). Epicatechin gallate and catechin gallate are superior to epigallocatechin gallate in growth suppression and anti‐inflammatory activities in pancreatic tumor cells. Cancer Science. 102(4). 728–734. 90 indexed citations
6.
Tiwari, Sanjay, et al.. (2011). Near-infrared molecular imaging of tumors via chemokine receptors CXCR4 and CXCR7. Clinical & Experimental Metastasis. 28(8). 713–720. 27 indexed citations
7.
Lemke, Johannes, Andreas Noack, Dieter Adam, et al.. (2010). TRAIL signaling is mediated by DR4 in pancreatic tumor cells despite the expression of functional DR5. Journal of Molecular Medicine. 88(7). 729–740. 69 indexed citations
8.
Egberts, Jan‐Hen drik, Andreas Noack, Bodo Schniewind, et al.. (2008). Anti–Tumor Necrosis Factor Therapy Inhibits Pancreatic Tumor Growth and Metastasis. Cancer Research. 68(5). 1443–1450. 211 indexed citations
9.
Rückert, Felix, Martin Hennig, Constantina Petraki, et al.. (2008). Co-expression of KLK6 and KLK10 as prognostic factors for survival in pancreatic ductal adenocarcinoma. British Journal of Cancer. 99(9). 1484–1492. 48 indexed citations
10.
Müerköster, Susanne Sebens, Alexander Arlt, Bence Sipos, et al.. (2005). Increased Expression of the E3-Ubiquitin Ligase Receptor Subunit βTRCP1 Relates to Constitutive Nuclear Factor-κB Activation and Chemoresistance in Pancreatic Carcinoma Cells. Cancer Research. 65(4). 1316–1324. 104 indexed citations
11.
Groth, Stephanie, Maren Schulze, Holger Kalthoff, Fred Fändrich, & Hendrik Ungefroren. (2005). Adhesion and Rac1-dependent Regulation of Biglycan Gene Expression by Transforming Growth Factor-β. Journal of Biological Chemistry. 280(39). 33190–33199. 38 indexed citations
12.
Abou-Rjaily, George A., Sang Jun Lee, Denisa May, et al.. (2004). CEACAM1 modulates epidermal growth factor receptor–mediated cell proliferation. Journal of Clinical Investigation. 114(7). 944–952. 21 indexed citations
13.
Abou-Rjaily, George A., Sang Jun Lee, Denisa May, et al.. (2004). CEACAM1 modulates epidermal growth factor receptor–mediated cell proliferation. Journal of Clinical Investigation. 114(7). 944–952. 55 indexed citations
14.
Kurdow, Roland, et al.. (2002). Ganciclovir prodrug therapy is effective in a murine xenotransplant model of human lung cancer. The Annals of Thoracic Surgery. 73(3). 905–910. 8 indexed citations
15.
Shen, Yan, Ida Vogel, & Holger Kalthoff. (2000). [Comparative study of metastasis-associated characteristics of tumor cells with different metastatic capacities].. PubMed. 22(3). 201–4. 1 indexed citations
16.
Ungefroren, Hendrik, M Voss, Christian Roeder, et al.. (1998). Human pancreatic adenocarcinomas express Fas and Fas ligand yet are resistant to Fas-mediated apoptosis.. PubMed. 58(8). 1741–9. 189 indexed citations
17.
18.
Naumann, Michael, et al.. (1996). Frequent codeletion of p16/MTS1 and p15/MTS2 and genetic alterations in p16/MTS1 in pancreatic tumors. Gastroenterology. 110(4). 1215–1224. 104 indexed citations
19.
Juhl, Hartmut, et al.. (1994). A MONOCLONAL ANTIBODY-COBRA VENOM FACTOR CONJUGATE. INCREASES THE TUMOR UPTAKE OF AN 99Tc-ANTI-CEA ANTIBODY BY A TWO-STEP APPROACH. Journal of Immunotherapy. 16(2). 159–159. 1 indexed citations
20.
Schmiegel, Wolff, W. Eberl, R. Arndt, et al.. (1985). Monoclonal antibody defines CA 19-9 in pancreatic juices and sera.. Gut. 26(5). 456–460. 48 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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